Blog Type: Blog

Agentic AI is revolutionizing supply chains by enabling autonomous, goal-driven workflows. Learn about its impact on efficiency, resilience, and the future of enterprise AI.

In the beginning, there was AI that learned. Then came generative AI drafting emails, designing ads, and helping developers code. But 2025 ushered a momentous change to everything we know about autonomy: goal-driven AI.

Generative AI (GenAI) took off by mimicking creativity. It could write poetry, generate code, or answer inquiries about next month’s forecast. That was impressive, but humans were still in charge.

Now comes agentic, which is completely flipping the script of autonomy. These agents can reason, plan, adapt, and execute multistep workflows with zero human supervision. They not only generate recommendations but also choose the best one and follow through.

Easily one of the most significant innovations in our lifetime that’s shaping the future of enterprise AI, agentic AI will be truly autonomous when completing complex workflows across organizations, from customer service and payment processing to fraud detection and order fulfillment​.

As Logility’s senior vice president of R&D Scott Tillman puts it, “Agentic AI is taking those insights and actually doing action on them. Decisions that are manual in nature will start to be run by agentic AI as part of making those autonomous decisions.”

What makes supply chains an ideal proving ground for this evolution? It’s a natural fit for an environment built on orchestration across vendors, partners, inventory, and data.

The Rise of the Self-Healing Supply Chain

Today’s supply chains are under more pressure, navigating considerable hurdles such as macroeconomic instability, shifting demand patterns, climate events, and geopolitical friction. But to manage it all, supply chain professionals need action, not another dashboard.

This is precisely where agentic AI shines.

As McKinsey highlights in a recent report, AI is moving from assisting humans to empowering them through superagency. In supply chain terms, this translates into going beyond monitoring key performance improvements (KPIs) to enable systems to heal themselves and the processes and operations they run when disruptions occur. At the same time, higher levels of business creativity, productivity, and resilience are unlocked.

Imagine an AI agent that notices a port delay in Asia. Immediately, the agent reoptimizes inventory routes in North America and updates the customer in Europe – all without human involvement. But what seems like a simple case requires multiple agents and AI tools interpreting a disruption, assessing impact, optimizing multiple alternative scenarios, selecting the best, communicating rerouting instructions, updating customers, and so on.

The true breakthrough lies in what’s next: multi-agent orchestration. The connected ecosystem of composition agents works across fulfillment, procurement, planning, and logistics. Together, they’ll transform our ability to respond to change and understand trade-offs across a complex network, creating a “self-healing supply chain.”

From Insight to Action and the Path to Autonomy

Agentic AI is not about removing humans from the loop. At least, not yet. In conversations with supply chain leaders, Logility found a recurring theme: organizations still want control. They want the system to present a plan, but they also want to click the “go” button themselves.

That’s a savvy instinct. Because when the stakes are high, automation must earn trust.

Still, the direction is clear. Gartner predicts that mass adoption of agentic AI is six to eight years away. (Gartner, Emerging Tech Impact Radar: Conversational Artificial Intelligence, Danielle Casey, Eric Goodness, 6 December 2024) However, the companies that start now will shape the future​. Whether it’s replenishment planning, route optimization, or demand signal validation, agentic AI shows it can drive impact today.

So, how can supply chain teams get started with agentic AI before full autonomy arrives?

It starts with specialized intelligence. Agents trained in supply chain logic and real-time business data can surface insights with unmatched speed and clarity.

Then comes augmentation. Agents drastically reduce information latency. Instead of spending hours synthesizing siloed data, planners get a consolidated, decision-ready view within seconds.

Finally, there’s democratization. Agentic AI empowers customer reps, sales leaders, and executives – who traditionally lack access to deep operational insights – to ask thoughtful questions and get strategic answers.

With these three capabilities, trust builds and, in response, autonomy scales. Instead of handing over the keys to the operations, supply chain professionals can see the results and extend their use case by case, starting with low-risk, high-confidence scenarios. Then, over time, they can apply the technology to more transformative tasks, processes, and frameworks.

Evolving the Supply Chain Experience

Logility is already putting agentic AI capabilities into practice with Logility Expert Advisor (LEA). Unlike traditional GenAI tools that provide general information, LEA comprises a set of specialized agents that understand the business, the data, and the specific goals of each user.

Ask a basic GenAI tool for supply chain KPIs, and you’ll get a textbook list that includes forecast accuracy, days of inventory, and capacity utilization.

But if you ask LEA the same question, you’ll receive a personalized response. The agentic AI-driven advisor offers a breakdown of your forecast accuracy using mean absolute percentage error (MAPE), real-time inventory metrics, fulfillment performance, and a contextual explanation of what’s working and what needs your attention.

Behind the scenes, the intelligent agents in LEA do the actual work of data collection, analytics, evaluation, and decision-making with:

  • Clear, context-based comprehension of the question asked
  • Retrieval of live planning data from AI-driven planning solutions
  • Application of specialized intelligence to derive insights
  • Summarization format that planners, executives, and frontline teams can understand

A New Operating Model for Supply Chain Resilience

Much more than a trend, agentic AI is an operating model for a new era of global business. It gives supply chain teams the tools to shift from reactive to resilient – from slashing time to decision to enabling proactive mitigation and democratizing insights across the business.

But here’s the best part: you’re still in control. Agentic AI is ready to do what you need at the moment, whether improving planning precision, supporting customer conversations, or eventually building a self-healing supply chain.

Begin your supply chain AI journey

Not sure if your business is ready for Agentic AI? Evaluate your AI maturity using this easy Supply Chain Generative AI Readiness Handbook.

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In the last 3 months, I have been struck by the volume of industry articles that predict major network shifts in 2025. These include the uncertainty of tariffs and counter-tariffs as well as underlying trends towards re-shoring and/or migration from China. This is in addition to the fact that the global supply chain has entered a period of relentless volatility including supplier shortages, regulatory pressures, and unpredictable disruptions.

Supply chain leaders are tasked with planning ahead, but it seems that “ahead” is coming more quickly in 2025. Primary things to plan for are:

  • Supplier mix and geographical diversity
  • Re-shoring/near-shoring where possible
  • Shifting supply away from China
  • Reducing overall route complexity and risk

In this new landscape, a strategic roadmap typically viewed yearly or less frequently needs to become a living, dynamic model. Even if the supply chain is not changing this month, the organization needs to know when suppliers, ship-from/ship-to, and carrier needs are changing. Traditional network design methods – based on complicated and brittle tools – are no longer fast enough. By the time companies finalize a response to one change, data is outdated, and circumstances have changed.

The reality of 2025 demands smarter, faster, and more adaptable supply chain strategies. For supply chain leaders, this means adopting a continuously optimized supply chain network that senses change, simulates alternatives, and adapts in real time.

Inbound Logistics Podcast: Network Optimization: Predicting Uncertainty to Produce Success

Traditional Methods Are Falling Behind

For decades, companies have approached supply chain strategy through long-term, manual assessments, with a scheduled analysis of the network’s design every one to three years. This approach made sense in an era when supply chains were more predictable.

But today, the world is moving faster toward the unknown.

Take, for example, the threat of rising tariffs and counter-tariffs. Trade regulations are constantly evolving, forcing companies to make sourcing and pricing decisions in real time. While economists agree tariffs increase costs, the broader impact extends beyond price hikes. Tariffs affect supplier viability, transportation strategies, and even customer demand, forcing businesses to continuously rethink their supply chain flows.

The organization that can sense changes, synchronize models, and explore impacts and alternatives in the same day will have a distinct advantage over the competitor who would take a month or two to model a new environment.

Meanwhile, the same challenges and expectations from the last few years persist. Labor shortages, political instability, and natural disasters continue to disrupt supply chains worldwide – leading to stockouts, delays, and lost revenue. Global carbon emissions and sustainability reporting mandates are also reshaping supply chain strategies as new regulations impact transportation routes, supplier selection, and cost structures.

As a short-term solution to these challenges, many businesses are reconfiguring their supplier networks to mitigate risk, shifting from offshoring to nearshoring and multi-sourcing. However, these strategies come with cost trade-offs, new logistics challenges, and shifting compliance requirements. Without a dynamic, continuously optimized model, companies risk making changes that introduce new inefficiencies instead of solving their problems.

Here’s the hard truth: traditional supply chain planning models aren’t built to sense and update the data that underly these multi-dimensional trade-offs.

Long analytical cycle times and rough approximations in data are creating considerable supply chain weaknesses, including:

Slow impact detection

Traditional network assessments can take weeks or months to complete. Companies don’t have time to wait for manual recalculations when faced with tariff hikes, supplier shutdowns, or sudden transportation disruptions. Delays lead to unnecessary cost increases and service failures.

Delayed decision-making cycle

The lag time in the analytical cycle also includes the time it takes to make decisions. This can often take weeks or months if the analytical teams cannot satisfy executive inquiries into recommendations and alternatives. Without the ability to create scenarios inside of a business meeting decisions are delayed. Without the ability to communicate in clear, quantitative ways, misinterpretations create further delay.

Inaccuracies and inefficiencies

Without real-time network intelligence, companies often overpay on tariffs, misallocate inventory, and fail to optimize transportation and supplier selection. Businesses that aren’t continuously optimizing their networks usually operate with outdated costs and assumptions, leading to higher operational expenses.

Continuous Network Optimization Powers Supply Chain Resilience

To keep up with today’s rapidly changing global landscape, supply chain leaders need to adopt a continuous network optimization approach. This strategy ensures that companies can anticipate disruptions, model alternatives, and adjust supply chain flows in real time—rather than scrambling to react when problems arise.

Unlike traditional methods that rely on outdated models and assumptions, continuous network optimization leverages AI-powered analytics, automation, and real-time data to create a supply chain that is:

  • Proactive, not reactive. Businesses can predict risks – from tariff changes to supplier failures – before they cause disruptions.
  • Agile and adaptive. Sourcing, transportation, and inventory flows can be adjusted based on real-time market conditions.
  • Optimized for cost, service, and sustainability. Supply chains can balance cost-efficiency and service-level requirements without compromising regulatory compliance.

The difference between a reactive supply chain and a continuously optimized one comes down to the speed at which changes in environmental data like demand, costs, or tariffs are sensed, processed, and presented to decision-makers. If this can be done autonomously (runs while you are sleeping)actions can be taken without latency.

Supply Chain Network Ship

Navigating 2025: Building a Resilient Network Amid Tariffs and Disruptions

This insightful webinar with Logility’s SVP and Industry Principle, Steve Johanson, discusses how to create and maintain a continuously optimized supply chain network.

Watch now!

How to Build Network Resilience with Continuous Optimization

At Logility, we help companies build a continuously optimized supply chain network using AI, automation, and real-time scenario planning. Here’s how:

1. Navigating Tariffs with Dynamic Scenario Planning

Consider a U.S.-based automotive manufacturer sourcing aluminum from Asia. With new tariffs suddenly imposed on raw materials, the cost of production skyrockets. This isn’t just a pricing issue – these tariffs also threaten supplier viability, forcing the company to reassess its supplier contracts and sourcing strategy overnight.

Rather than making rushed supplier changes without analyzing broader implications or waiting until the next planning cycle to absorb increased costs, Logility’s continuous network optimization capabilities can help the manufacturer take immediate action, such as:

  • Simulate the impact of tariff changes on sourcing, transportation, and pricing before they happen
  • Identify cost-effective alternatives in seconds and adjust supplier agreements dynamically—and explore viable alternatives and adjustment.
  • Publish network changes to planning tools and phase change in with quantitative rigor

2. Multi-Sourcing for Greater Network Resilience

Suppose a consumer electronics manufacturer depends on a single-source supplier for semiconductor chips. When an unexpected geopolitical conflict halted exports, the entire supply chain came to a standstill, leading to costly delays and order backlogs.

Most companies would need to scramble to find an alternative supplier, delaying shipments by months and increasing procurement costs. However, the continuous network optimization approach enables a more optimized response, enabling the business to:

  • Diversify its supplier base in advance to ensure backup sources are available.
  • Monitor risk indicators – such as supplier financial health and geopolitical instability continuously
  • Adjust sourcing strategies automatically when disruptions occur to avoid downtime

3. Automated Risk Sensing and Response

Assume a global apparel retailer decided to shift some production from Southeast Asia to Mexico and Central America to shorten its lead times. However, without proper modeling, the move unexpectedly increased logistics costs and bottlenecked supplies as near-shore vendors struggled to meet demand.

The retailer has a choice to make – and the right one can be chosen by applying continuous network optimization tools to:

  • Compare cost and service impacts of nearshoring
  • Identify supply chain gaps and evaluate supplier readiness
  • Optimize transportation and logistics to ensure a cost-effective transition
  • Model for anticipated disruptions while having contingency plans for emergent disruptions

4. Phased Execution of Supply Chain Adjustments

Imagine a European pharmaceutical company caught off-guard by a new requirement to accelerate end to end product delivery times. Every decision in a supply chain has a ripple effect – switching suppliers or trade routes can disrupt inventory, forecasting, and fulfillment. However, the company lacked visibility into transportation emissions and supplier sustainability scores, increasing the risk of non-compliance penalties and damaging brand reputation.

By supporting continuous network optimization, Logility solutions can help the company:

  • Align distribution, inventory, and supply planning to prevent costly disruptions
  • Ensure every network adjustment is coordinated across all business units
  • Optimize supply chain flows in real time, without manual intervention
  • Adjust supplier selection based on sustainability criteria automatically
  • Ensure continuous compliance with evolving regulations, reducing penalties and risks

The Business Impact: Faster, Smarter, and More Resilient Supply Chains

Static supply chain planning is no longer viable. As disruptions, tariffs, and regulations accelerate, businesses must embrace continuous network optimization to stay competitive.

And with Logility solutions, you can too – leading to critical improvements such as:

  • 5-20% cost reduction through smarter overall network optimization
  • Increased resilience to pivot instantly in response to disruptions
  • Enhanced sustainability compliance with better emissions tracking
  • Remove latency in decision-making with AI-driven insights, reducing inefficiencies

Now is the time to optimize, adapt, and lead.

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Supply chains are no longer just a business’s logistical backbone—they’re the frontline where competitive advantage is won or lost. Companies that fail to evolve will continue to fall further behind, while those embracing AI-driven solutions, resilience, and sustainability will truly redefine the future.

“Good enough” just won’t cut it anymore no matter the size of your business, as Markus Malinen, EMEA Vice President at Logility, puts it. “The days of relying on a rearview mirror to plan for the future are over,” he warns. “Companies that can detect demand drivers and plan for future scenarios will set themselves apart in this era of constant change.”

Malinen isn’t alone in this line of thinking. A community of industry and technology experts at Logility all see the signs: the rules of the supply chain game are changing. Here’s what you need to know to turn your 2025 challenges into your best competitive advantages.

1. AI Fuels New Levels of Optimization

AI is reshaping supply chains, improving visibility, aligning demand with supply, and optimizing master data. In 2025, AI will further streamline end-to-end planning and enhance efficiency.

Joe Slater, Business Consultant at Logility, explains, “The best supply chains already use AI for demand forecasting, but the real opportunity lies in harnessing it to drive better supply plans and match demand and supply more effectively.”

As adoption accelerates, businesses that integrate AI are not just making faster decisions—they are gaining a significant competitive edge. Supply chain managers can identify patterns and trends, leading to more accurate demand forecasts and optimized inventory levels. The potential of this advantage will only continue to increase, and the time to integrate AI is now.

Client Executive Richard Sandell at Logility warns “Many planners still see AI as “scary” as they hold concern for a computer (back box AI) doing detailed calculations. Organizations will need to transition to trust, adoption, and acceptance of AI results to take advantage of the reality –machines can process and validate much more data than the human brain.”

2. Predictive Planning Replaces Historical Reliance

In today’s volatile environment, predictive strategies are essential for anticipating events and preparing for future scenarios.

“Planning with a rearview mirror is obsolete,” Malinen underscores. “Companies that adopt predictive planning based on future assumptions will gain the ability to act, not react.” This forward-thinking approach empowers organizations to move from reactive processes to proactive strategies.

Anupam Aishwarya, SVP of Business Consulting at Logility explains that supply chain organizations will need to seek out key solution capabilities that allow them to handle the unknowns. “Managing hard to forecast business scenarios will require visibility to external information translated into business drivers, insights into end-to-end impacts, assumptions and capabilities that align to larger organizational goals, and the ability to learn from what is or is not working to quickly make tactical plan changes.

Supply Chain Generative AI Readiness Handbook

Explore these 8 Steps to GenAI Maturity

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3. Generative AI Unlocks Smarter Decisions

Generative AI is quickly moving from pilot projects to practical applications, helping businesses unlock efficiencies and enhance decision-making. Even in smaller, domain-specific models, this technology delivers higher accuracy and actionable insights for complex supply chain challenges.

“Generative AI built on smaller, domain-specific approaches offers unparalleled reliability,” states Jim Brown, SVP of Business Consulting at Logility. “This is where supply chains will see breakthroughs in optimization.” These tools help connect real-world events to supply chain impacts, enabling faster and smarter decisions.

“With the deployment of GenAI and narrow AI, the dimension of insights, speed, and human cost to make a high-quality decision will be the new differentiators and will reset the competitive scales completely. – Piet Buyck, SVP Industry Principal

4. Resilience Drives Continuity and Growth

The unpredictability of modern supply chains has pushed companies to adopt a “just-in-case” planning approach instead of the outdated “just-in-time” model. This equips businesses to handle disruptions while maintaining operational continuity.

According to Mark D’Cruz, Director of Business Consulting at Logility, “Resilience isn’t just about weathering storms—it’s about thriving despite them. Companies must ensure the right inventory, at the right place, at the right time, and at the right cost.”

Resilience in this context means more than just surviving a crisis; it means adapting and continuing to operate effectively, even in the face of unexpected challenges. Agility, sustainability, and flexibility are critical to building supply chains that can withstand the unexpected.

5. Technology and Talent Come Together to Drive Future Success

The future of supply chains depends on the synergy of cutting-edge technology and skilled teams. In 2024 supply chain trends, we found that companies which quickly adopted cloud technology and used AI became leaders in innovation. Now, the next step is to train personnel to work with and train AI models.

Ron Boschert, SVP of Client Value Delivery and Consulting at Logility, believes, “Attracting talent depends on embracing new technologies—and this includes training people to train AI. This skill will be as important as traditional supply chain skills.

What It All Means for Your Business

2025 marks a transformative year for supply chains, where AI, predictive strategies, and resilience are essential to staying competitive. And as Logility’s experts emphasize, the question isn’t whether your supply chain can adapt—it’s whether you will choose to act now to take the lead.

Want to know more about trends in 2025? Check out what your peers had to say in a recent virtual summit. https://www.logility.com/blog/from-rising-costs-to-supply-chain-resilience-the-top-concerns-keeping-leaders-up-at-night/

It’s time to reimagine your supply chain

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Balancing forecast accuracy with inventory management gets more challenging every day. Traditional approaches often divide departments like sales, marketing, and production. This makes it hard to reach agreement. It can also lead to missed opportunities and conflicting priorities.

Fortunately, this is starting to change. Artificial intelligence (AI) and rapidly developing generative AI tools provide complex, real-time, and in-depth insights specific to supply chain management. Further, AI-driven demand sensing allows businesses to combine scattered data, which is essential for better forecast accuracy.

“People are used to interacting with data in a complex way—not just for scheduling but to get real, in-depth answers. This is particularly critical in supply chain environments where aligning data across siloed departments is essential.” –Piet Buyck, SVP Solution Principal, Logility

Moving from What Happened to What’s Coming

In the past, supply chain planners relied on multiple forecasting methods tailored to different products or phases of the product lifecycle. These methods leveraged available historical data and market knowledge while blending the best features of various models to maintain peak accuracy. This approach required agility, as planners regularly shifted methods and models to address changing conditions.

The focus is now moving from the quantity of forecasting models to their effective application. New demand models like ensemble modeling, driver-based forecasting, and demand sensing create explainable forecasts.

These approaches help companies improve short-term, mid-term, and long-term planning. They also help planners identify and understand unusual patterns. By leveraging these advancements, organizations can enhance their systems’ ability to learn and adapt.

A New Era of Demand Planning White Paper

Learn more about these new demand models in this whitepaper.

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AI Solutions for Complex Demand Planning

For supply chain professionals, managing demand involves analyzing multiple signals from diverse sources. Traditional statistical models often struggle to capture the nuances of order patterns or the context behind large orders.

To close this gap, demand sensing utilizes AI to analyze and interpret data across three critical levels:

  1. Macroeconomic trends: Factors such as inflation or regulatory changes influence long-term demand.
  2. Customer behavior: Real-time insights into customer orders, inventory levels, and distribution channels clarify short-term demand.
  3. Operational events: Price shifts, competitor actions, and promotions shape medium-term demand.

Figure: AI offers a new way for supply chain management

As an example, demand sensing is particularly advantageous for industries like life sciences. It helps understand signals such as hospital or patient consumption trends, while taking strict regulations into account. By translating raw data into actionable insights, planners gain the agility and accurate knowledge necessary to anticipate stock levels, mitigate stockouts, and optimize inventory.

AI advancements in demand sensing bring several benefits, including:

  • Validated forecasts: Instead of replacing consensus forecasts, demand sensing confirms and refines them using downstream data. This reduces error rates and creates actionable insights for short-term decision-making.
  • Enhanced responsiveness: With frequent updates, such as weekly granular forecasts, businesses can respond swiftly to shifts in customer demand or market conditions.
  • Streamlined operations: Automated demand sensing, which uses AI to interpret and respond to demand signals automatically, enables better alignment across departments, reducing reliance on error-prone manual processes and improving efficiency.
  • Increased confidence: By offering explainable forecasts, demand sensing fosters trust among stakeholders and ensures confidence in supply chain projections. 

Piet Buyck emphasizes that AI is particularly valuable in decoding the “voice of the customer.” Demand sensing connects customer orders, stock levels, and distribution data back to your planning process. It’s about understanding what’s happening now and predicting what’s next so your supply chain can respond more effectively.

Demand Sensing AI Roadmap

To fully realize the benefits of demand sensing, companies must take a strategic approach to implementation. This involves adopting the right tools and refining how these tools are used to support dynamic business needs.

Key steps include:

  1. Integrate AI Solutions Thoughtfully: Choose AI tools that align with industry needs, such as frequent updates for perishable goods or tailored insights for long-cycle products. Piet Buyck notes, “Demand sensing connects customer orders, stock levels, and distribution data back to your planning process.”

  2. Distinguish and Apply Signals Effectively: Macroeconomic trends are good for baseline forecasts. Short-term signals, like customer orders or inventory levels, work better for weekly demand-sensing. Ensuring these insights are used at the right time prevents the system from losing its predictive power due to misaligned data.

  3. Break Down Silos: Historically, functional silos have dominated supply chain management, with sales, marketing, and operations often taking disconnected approaches to demand planning. AI-powered demand sensing offers the opportunity to unify these perspectives by creating a single source of truth that provides consensus forecasts and explains the reasons behind them.

  4. Use Predictive Analytics: Use AI tools in the supply chain to help planners predict short-term changes more accurately. Doing so allows supply chain teams to adapt to fluctuations caused by promotional events, market shifts, or customer order surges. Buyck explains, “Demand sensing doesn’t just refine forecasts—it validates them.”

  5. Optimize Frozen Periods: Identify areas in the supply chain, such as packaging and distribution, which can benefit from short-term adjustments. Understanding these constraints allows organizations to maximize the utility of demand sensing without disrupting established processes.

  6. Automate Exception Management: Use demand sensing to identify anomalies and trigger alerts for immediate action, helping planners recalibrate quickly to avoid disruptions.

A New Level of Supply Chain Agility Emerges

As supply chain complexity grows, the adoption of AI-driven demand sensing becomes a necessity rather than a luxury. By embracing AI-driven demand sensing, companies can move beyond the limitations of fragmented, traditional approaches, and unlock the full potential of their supply chains.

“Planning is not just a supply chain function,” Buyck concludes. “It’s a function of the entire organization. By better understanding the voice of the customer, businesses can align more effectively and reach their key performance improvements with greater agility.”

For demand planners and supply chain managers, AI marks the dawn of a new era—one that empowers them with the confidence and control needed to overcome the complexities of modern supply chains.

The New Language of Planning Masterclass is Underway!

Piet Buyck, SVP Innovation at Logility continues with an in-depth series called The New Language of Planning Masterclass. Sign up for upcoming sessions here.

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An interview with Logility’s President and CEO, Allan Dow, for the Executive Platforms’ “The Blueprint” Podcast.

From geopolitical instability to labor shortages and sustainability demands, supply chain leaders must continuously evolve their strategies to stay competitive. Thankfully, artificial intelligence and generative AI offer powerful tools to build resilient, agile supply chain operations that can respond to the challenges of today and tomorrow.

Agile supply chains can handle the challenges we face now and in the future. Logility President and CEO, Allan Dow, spoke with The Blueprint podcast about how businesses can reimagine their supply chains.

Allan Dow sits down with Executive Platforms on ‘The Blueprint’ Podcast

AI – A Realized and Evolving Concept

Logility has long recognized the potential of AI to optimize supply chain management. “AI isn’t a new concept for us—we’ve been working with it for almost ten years,” Dow shared. However, while the technology has been around for some time, its application is evolving rapidly.

“AI needs to be built in, not bolted on,” Dow emphasized. Many companies struggle when they try to layer commercially available AI solutions on top of their existing operations. The best they can get is surface-level insights, but this is just the beginning of what AI can offer. Logility embeds AI directly into its solutions, helping businesses to go beyond basic data analysis, and enables those businesses to take actions they might not have anticipated.

AI is no longer only about delivering insights; it’s about enabling action.

Generative AI: Democratizing Agile Supply Chain Operations and Enhancing Employee Experience

The introduction of generative AI has brought a new level of interactivity and collaboration to the supply chain workforce. Dow pointed out that AI has long played a role in improving efficiency, but generative AI is different—it allows users to interact with supply chain systems in new ways.

“It’s not just about getting insights anymore. With generative AI, we can answer the questions you didn’t even know to ask, take actions on your behalf, and make recommendations on what to do,” Dow explained.

Generative AI also plays a key role in enhancing departmental alignment. It makes real-time data and insights accessible across teams, creating a more collaborative and unified process.

Alignment across departments promotes quicker, more efficient responses to supply chain challenges, breaking down silos and fostering stronger connections between different areas of the business.

This technology helps the new generation of supply chain professionals, who expect more intuitive, interactive environments. These spaces allow them to move quickly and make confident decisions.

AI provides intuitive, user-friendly tools that align with their expectations of a modern, connected workplace. These tools improve operational efficiency and enhance employee experience by creating a more engaging, supportive work environment. As generative AI makes data more accessible, employees at all levels can help with decision-making. This boosts engagement and satisfaction in their jobs.

Integrating AI-driven tools into operations allows everyone in the supply chain—from senior decision-makers to frontline employees—to participate and contribute, making the process more collaborative and agile.

Addressing AI Concerns: False Information, Intellectual Property, and Getting Started

Despite the clear benefits of AI, many supply chain executives remain hesitant to fully embrace it. Common concerns include the complexity of implementation, the risk of false information, and protecting intellectual property.

Dow addressed these three major concerns head-on, offering practical advice for leaders ready to take the next step.

1. Are we ready to implement AI?

Dow’s answer is simple: Yes, you are ready, and the key is to get started. “Pick a use case—somewhere you have blind spots or recurring issues—and start there,” he advised. “By focusing on these trouble areas first, supply chain leaders can build confidence in AI’s capabilities and gradually scale their efforts across more complex operations.”

Starting small helps businesses trust this technology. It also allows them to use early successes for bigger projects. Focusing on blind spots provides immediate value and enables teams to address critical areas of improvement from the outset.

2. How do we prevent false information?

A major concern with AI is the potential for false data to influence decision-making. To mitigate this risk, Logility designs its AI solutions to work within a company’s existing data infrastructure. This isolates the application to only use accurate and relevant data.

3. What about intellectual property concerns?

Protecting intellectual property is another critical issue for businesses adopting AI. Dow reassured listeners that Logility’s AI is developed in-house, with strict controls around data access. Limiting third-party involvement helps Logility protect sensitive data and intellectual property.

The time to act is now!

For supply chain leaders, the message is clear: AI and generative AI are not just tools for the future. They are essential for building resilient, agile supply chains today. As companies face increasing pressures from labor shortages, sustainability demands, and geopolitical instability, AI offers a path forward that can help them navigate these challenges.

Logility designs solutions to help businesses survive and thrive in an ever-changing environment. Embedding AI into supply chain operations unlocks new levels of efficiency, improves departmental alignment, and creates a more empowered and satisfied workforce. This collaborative approach enhances operations but also drives long-term success.

If you’re ready to take the next step in reimagining your supply chain, now is the time to act. Start small, focus on key use cases, and let AI guide your organization toward a more resilient, future-proof supply chain.

Ready to reimagine your supply chain?

In a time when supply chains are more complex and competitive, businesses must pause and rethink their strategies. Let’s talk about Logility’s AI-driven solutions and how we can help your business.

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The pace of technological evolution is pushing organizations to the brink. This is more evident in supply chain, where time-tested methods are being replaced with new ones. These new approaches not only improve existing processes but also reimagine them altogether.

Enter Generative AI (GenAI).

The groundbreaking technology is transforming how companies manage sales and operations planning (S&OP). By eliminating department silos and decision latency, it improves alignment and enhances the supply chain employee experience. This ensures everyone – from planners to finance executives – are equipped to make smarter decisions, faster.

S&OP provides the perfect starting point for companies interested in putting AI to work. Jonathan Doller, senior business consultant at Logility, explains, “GenAI introduces a new language of planning that incorporates insights, business challenges, and market activities into a single model not just S&OP processes but really any planning process in general.”

Using Generative AI to Reimagine the S&OP Process

To learn more about the role of GenAI in sales and operations planning (S&OP), watch or read more below on Logility business consultant, Joe Slater’s, and Jonathan Doller’s presentation, “Using Generative AI to Reimagine S&OP and Improve Employee Experience,” given at the North American Supply Chain Executive Summit (NASCES).

Joe Slater and Jonathan Doller at NASCES 2024.

Breaking Down Silos for Accelerated Department Alignment

S&OP has long been plagued by one key issue: departmental silos. Sales, operations, finance, and other functions often operate in isolation, resulting in disconnected strategies and slow, reactionary decision-making.

When one department updates its forecast or makes a critical adjustment, the impact often isn’t fully understood until after the fact –  leading to inefficiencies and missed opportunities. Traditional methods of aligning these departments rely on time-consuming meetings, manual data reconciliation, and an often slow, sequential decision-making process that creates a lag in response times.

GenAI, however, offers a radical new approach. Instead of relying on slow-moving processes and outdated information, AI provides real-time insights to stakeholders across all departments. This eliminates the need for lengthy back-and-forth communications and manual data entry by delivering a single source of truth. The impact is immediate: departmental alignment becomes smoother and more efficient, with all teams able to access the same data and respond to changes in real time.

As Logility business consultant Joe Slater points out, “GenAI and large language models have expanded S&OP capabilities. Not just to navigate around and quickly find things we’re looking for, but to assist us in analyzing information, providing insight, and making better decisions happen.”

A significant advantage of GenAI in S&OP is the automation of complex data analysis. For example, budgeting becomes less of a guessing game when AI can instantly calculate and simulate different scenarios. Planners, sales teams, and finance departments no longer need to wait for updated spreadsheets or manual input from colleagues. Instead, AI gives them up-to-the-minute insights to make aligned, data-driven decisions faster.

This new-found alignment extends beyond the technical side of the business. It also breaks down information and communication silos. Employees across departments can collaborate without barriers, speaking the same language on a unified platform for insight access.

Transforming the S&OP Process and the Future of Supply Chains with GenAI
Logility Expert Advisor breaks down silos and improves employee collaboration.

Elevating the Supply Chain Employee Experience with Insight

Alignment is not the only issue for supply chain teams. Employees also spend most of their time on repetitive, manual tasks – such as data entry, reporting, and analysis – that do little to challenge or engage them.

GenAI changes this situation by automating routine processes and providing employees with user-friendly tools that make their jobs easier. Imagine a supply chain planner who spends hours each week reconciling data across different systems. The task can be automated to free time to focus on more strategic, value-added activities, including scenario planning or supply chain optimization.

In this case, “AI already understands how the drivers of demand like seasonality, promotions, and non-promotional events impact sales,” shares Slater. This benefit reduces the risk of errors and allows employees to contribute more meaningfully to the business.

By enabling conversational interfaces, GenAI allows employees to ask natural-language questions and get instant and actionable insights. Doller emphasizes the benefits: “This makes the data accessible to any user, whether it’s planners, executives, or other stakeholders, without having to know how to write queries or run reports.”

The result? A more engaged and empowered workforce that understands the whole business picture.

By reducing the burden of manual work and enhancing access to information, GenAI transforms the S&OP process while creating a more positive and supportive environment for everyone across the supply chain. And when employees feel more confident in their roles, they are likely more satisfied with their jobs and consistently highly productive.

See real generative AI technology for supply chains in action below:

Taking a Closer Look: A Use Case for GenAI in S&OP

To visualize how GenAI works in a real-world S&OP setting, consider a global consumer goods company grappling with fluctuating demand and supply chain disruption. In the past, managing these challenges required multiple rounds of communication between sales, operations, and finance. Each department worked off its own set of data and unstructured information such as e-mails, documentation, and contracts – often resulting in misaligned forecasts, delayed decisions, and inefficient resource allocation.

But with the adoption of GenAI, this company can completely reimagine its S&OP process. AI-driven insight gives all departments access to the same real-time data. The need for repetitive meetings and manual data reconciliation decreases. So, instead of waiting for formal updates, each team sees the immediate impact of changing demand on inventory, production schedules, and budgets.

Doller outlines the benefit of using real-time insights: “AI-powered insights help [employees] anticipate rather than simply react when changes occur.” The company can quickly run different scenarios using AI to assess the impact on everything from supply chain capacity to financial forecasts. In return, responses to market changes are faster, stockouts are avoided, and revenue potential is maximized.

Transforming the S&OP Process and the Future of Supply Chains

GenAI is a critical tool reshaping how companies approach sales and operations planning. Embracing this technology in S&OP processes puts businesses on a direct course toward dramatic improvements that align and empower the entire workforce with immutable integration and real-time insight delivered through a fast and easy experience.

As the supply chain operations continue to evolve, AI will be a driving force behind that evolution. With the right tools and strategies in place, organizations can not only reimagine S&OP but also build a future where employees are at the heart of ongoing business growth.

To learn more about the role of GenAI in sales and operations planning (S&OP), watch Joe Slater’s and Jonathan Doller’s presentation, “Using Generative AI to Reimagine S&OP and Improve Employee Experience,” given at the North American Supply Chain Executive Summit (NASCES).

It’s time to reimagine your supply chain

Start now

With triple extortion scams on the rise, supply chain organizations need to use a layered defense model to get ahead of cybersecurity risks. In a keynote session at LogiCon24, speaker, Rachel Wilson, spoke in detail on tactics for supply chain cybersecurity risk mitigation. Here are 10 tips for avoiding and managing cyber-attacks.

1. Patch and Update Devices

Supply chains are supported by countless technology devices with multiple software solutions installed. These software manufacturers are constantly discovering new flaws, bugs, and weaknesses in their code. They fix these vulnerabilities by issuing patches to the consumers. It’s crucial to apply these patches promptly and thoroughly, as the release of a patch initiates a race against hackers who aim to exploit the vulnerabilities.

2. Backup Data and Systems

Use a 3,2,1, strategy to back up data. Have three copies of your data, in two geographically dispersed locations, and ensure one copy is off-network.

3. Move to Cloud-Based Software

Take advantage of natively available security resources in cloud-based systems and processes like, strong encryption, entitlements and access management, delegated access, and strong authorization. Cloud-based software can also allow users to choose to automatically run backups and patch updates. In addition, to reducing cyber risks, organizations using cloud technology can respond more quickly to other risks along their supply chain.

4. Audit Backup Process

Often companies think their data is backed up, just to find out the person responsible no longer works there, and no documentation exists to show how to restore their backups. Companies must rehearse regularly what they would do if a supply chain cyber security attack occurs.

5. Test Response Strategies

Recognize that everyone in your C-Suite, leadership, and legal department will have a crucial role to play in deciding how to recover essential data after a supply chain cyber security attack, deciding whether to pay a ransom, and how to communicate a data breach to employees and to customers.

6. Never Pay the Ransom

The reality is that it’s not a question of whether cyber-attacks will happen, it’s a question of when. When that does happen, you’ll want to do anything to restore your data. Hackers know this and rely on your intense desperation to save your business. Remember that paying the ransom will signal to hackers that you are someone willing to pay whatever is necessary and set you up as a future target.

“Ransom ware has caused $20 billion in losses in just the last year. And are on track to see record losses in 2024.” – Rachel Wilson, Director of Cybersecurity, Morgan Stanley Wealth Management

7. Training & Responsibility

Historically, people have considered data protection, primarily an IT function. However, operational systems and operation teams need to be deeply invested in the cybersecurity of the firms they support. More companies are working to improve controls. They want to ensure shared incentives, processes, and accountability. This way, operational systems and IT systems focus on cybersecurity as a whole, from start to finish. Implement cybersecurity across your entire team at least once a year or more.

8. Sophisticated Password Management

Password manager applications are designed to create and store unique, complex passwords. They store them for you in a secure cloud and when you need access to them, and autofill for you. Do not store your passwords in a random note on your phone or computer.

9. Balance Three Pillars of Security

Confidentiality. Integrity. Availability. Prioritizing availability at the expense of integrity and confidentiality can compromise long-term resilience.

10. Develop Third Party Risk Management

Organizations balance a large list of vendors along their supply chain. To make sure your third parties are meeting cybersecurity and data protection standards, requires putting them through extensive onboarding, on-site visits, due diligence questionnaires, SoC 2 reports, and more.

Hackers count on vulnerabilities of human behavior, phishing emails, and social engineering. They also count on you to be unprepared. Take these tips and get started with revamping your supply chain cybersecurity today.

Do you need to see more? Check out the on-demand keynote session: “The Cyber Security Conundrum“.

It’s time to reimagine your supply chain

Start now

With over 1100 participants, the first annual LogiCon24 Virtual Supply Chain Summit hosted by Logility brought together industry experts, thought leaders, and enthusiasts to reimagine supply chain. The agenda featured a mix of keynotes, discussion forums, and breakout sessions spanning from what keeps executives up at night to leveraging new and existing technology solutions.

LogiCon24 kicked off with a message from Logility, CEO, Allan Dow, “In today’s rapidly evolving landscape, sharing ideas has never been more crucial. We find ourselves at an intersection of unprecedented challenges and opportunities, where plans are getting smarter and responses must be swift, often within minutes or hours. It’s clear that setting a course of excellence is imperative, as those who fail to act will inevitably be left behind.”

Couldn’t make it? No problem, we have a recap of the top eight hard hitting topics and you can jump into the on-demand event to watch any sessions you missed.

Eight Critical Supply Chain Opportunities Identified at LogiCon2

1. The past doesn’t hold the key to the future

Keynote speaker Simon Anderson, a renowned futurist, focused on how the traditional approach to supply chain transformation that only looks at the past will hold organizations back from having more years of success. Through unlearning, the deliberate process of letting go of outdated practices, mindsets, or knowledge to embrace new approaches in a changing business environment, organizations can reimagine a course for their future.

2. Ensuring resiliency is keeping executives up at night

An executive panel featuring Angie Taylor of PPC Flex, Sean Rierdon of Clarios and Jim Kilpatrick of Deloitte highlighted the top challenges organizations are currently facing. Overall, executives find themselves wide awake thinking about how to keep their businesses resilient to customer expectations, new sustainability requirements, and expectations of a technology first workforce.

3. Cyberattacks happen – Have a plan before you get hacked

In Rachel Wilson’s keynote, she discussed how cyberattacks have become more complex with triple extortion scams on the rise. Scammers are coming after businesses through data encryption, data leak threats, and additional extortion. She recommends the best way to protect yourself is to have a 3,2,1 back up strategy which is three copies in two geographic locations, and one off of your network.

4. Reimagine supply chain

The final keynote of the day came from Kevin McInturff, CTO for Logility. In addition to sharing what’s next on the Logility roadmap, he shared insights into why we must reimagine supply chain. Reimagine Supply Chains is about embracing what technology is available to us now and how its changing supply chain. Supply chains used to run at a different pace, but that is no longer sufficient. They must operate with more speed, intention, and execution. They can do this by leveraging tools that have AI built in rather than bolted on and ultimately elevate human decision making.

Kevin McInturff presents what’s next on the Logility Roadmap.
Allan Dow introduces keynote speakers.

5. The next generation workforce has big expectations

Digital natives are entering the workforce with a mindset of time being their most important value. Businesses are faced with workers that don’t want to run manufacturing lines on the weekends, planners that don’t want to spend hours sifting through excel spreadsheets, and onboarding challenges for digital forward learning styles. 

“We’ve reached such a different level of complexity with our portfolio that we can’t do things the same way we used to. We must take another step in terms of technology and get off spreadsheets. Even if we try to throw bodies at the problem, which you likely won’t be successful doing, how they engage in the work is different now. New hires want to engage in new processes, new ways of doing things, and ultimately want to be challenged in the workplace,” Rierdon shared.

6. The future of supply chain is digital and requires a roadmap

Generative AI was thread among many sessions from a discussion forum with Jim Kilpatrick from Deloitte CA, to a dedicated breakout track with Sarthak Pany, Deloitte CA, and Gokhan Usanmaz of Logility.

Kilpatrick noted that “Many organizations are still experimenting with new technologies but struggling to quantify the value. They need their business case to include both costs and benefits, so it’s crucial to focus on maximizing value through these new technology investments. Companies should identify where benefits will appear on the balance sheet or P&L, such as labor productivity or inventory performance, rather than just costs.”

7. Locate, identify, and assess the data

The key to kicking off digital transformations in supply chain is through master data management. Any organization creating a roadmap should start with the data.

“A lot of people overlook the data and get all the way to tool implementation, and you don’t have the information or data that you need to actually be successful at the end. Slowing down to frame up the problem, make sure that you have a good foundation, and understand what problems you are trying to solve,” Taylor said.

8. The cloud is where it’s at

“The pace of business and technology has changed. There is tremendous opportunity to move faster and be more effective and more anti-fragile but that comes with technological burden. It’s not possible to have elastic scale in old technology outside of the cloud,” McInturff said.

Logility Client Hamilton Beach expressed how critical this move is. They advised that organizations elevating to the cloud should embrace the change with cross functional team involvement, anticipate data cleansing, build a stable planning foundation through DemandAI+, inventory planning, and replenishment planning, and finally, keep moving up the maturity curve with SIOP, supply planning optimization and real time scenario analysis.

A New Era of Supply Chain

LogiCon24 was designed to challenge how leaders think and approach the next era of supply chain management. Attendees were exposed to new technology, expert opinions, and client experiences that change how we view supply chains.

The main takeaway. The time for action is now. Don’t miss the chance to challenge your own thinking, explore the full event on-demand here.

The future of supply chain management is constantly reshaped by challenges that keep industry leaders up at night. Everything from geopolitical instability and global inflation to labor shortages and sustainability pressures are dictating evolving rules for advancements like AI and a pathway to supply chain resilience.

What bold moves must CEOs and supply chain leaders make today to ensure survival tomorrow?

During a candid executive panel at Logility’s Fall Virtual Event, three supply chain experts answered this question and many more with an air of urgency. They dive into current pressures as well as opportunities for operating with resilience, agility, and continuous innovation. The overriding theme? Resilience. Let’s get into the thought-provoking dialogue.

Supply Chain Resilience Is a Must-Have

Customer preferences and supply chain disruptions change faster than ever, driving the urgency for greater supply chain resilience and business agility. Working for advanced flexible packaging manufacturing operations has given Angie Taylor, Vice President of Sales Operations and Supply Chain at PPC Flex, a first-hand view into the impact of working directly with customers when producing made-to-order products.

“With all the changes going on in the world as well as supply chain disruptions, ingredient shortages, and demand for better sustainability, a lot is changing daily,” Taylor said. “Making sure we have the right information and data to stay ahead of that is critical for us – whether updating our SKUs for our demand planners and looking at new demand signals or resourcing raw materials with multiple suppliers.”

As every business knows, a lot of information must be digested quickly to deliver on customer demands and expectations, on time and with the right resources. For that reason, Taylor’s advice for staying ahead of the curve is to invest in information systems that support quick, insights driven decision-making.

Geopolitical Instability Is Everyone’s Challenge

The ever-evolving landscape of regulations, tariffs, and trade wars tops the list of concerns for most supply chain leaders. The summer 2024 Fortune/Deloitte CEO survey reported that 60% of CEOs have been worried about geopolitical instability over the last three seasons, with inflation ranking second (45%). And this pressure is filtering down to supply chain teams, who must rethink the global footprint to navigate it all.

Jim Kilpatrick, a partner from Deloitte, advises businesses to adopt digital approaches to visibility, collaboration, and risk management to rise to this moment.

“No organization wants unproductive assets or excess inventory tying up capital, which is why companies are doubling down on their digital approaches to resilience,” Kilpatrick said. “Initially, visibility into demand signals and potential risks is the goal. Then, they realize the importance of the flexibility to pivot when disruptions arise – whether reallocating resources or collaborating with suppliers, vendors, and partners to find new alternatives. Technologies like control towers and digital twins empower businesses to move beyond real-time dashboards and into predictive insights to act before a disruption occurs.”

The Labor Force Is Shifting

Another factor that is challenging the consistency of business outcomes throughout the year is the availability of labor resources – especially on weekends for manufacturers. This reality forces supply chain leaders to look hard at how their operations level out production capacity, manage inventory, and accelerate recovery from sub-supplier disruptions.

According to Sean Rierdon, Executive Director of Supply Chain at Clarios, overcoming such labor shortages requires a strategic pivot toward better resource planning and inventory management.

“We’ve seen a very significant shift, especially generationally, with younger employees moving into the manufacturing space. They’ve being very resistant to the weekend work,” Rierdon said. “Our supervisors use technology to check in with employees and condense schedules to fit within a Monday-to-Friday model. By building up inventory in advance of sales, we have the flexibility of scheduling employees on weekends only when needed, instead of making it a requirement.”

With more new talent coming into the workforce, the labor force will continue to evolve. That includes some of the issues that concern them and their futures.

Sustainability Is Non-Negotiable

Sustainability has become a critical pillar of supply chain strategy. Companies that ignore sustainable practices risk being left behind, especially as customer expectations and regulatory pressures intensify.

Taylor highlights how PPC Flex addresses sustainability, stating, “We’re constantly rethinking our packaging solutions to meet regulatory compliance and consumer demands for greener products. This requires collaboration across our entire supply chain ecosystem to ensure we’re moving toward sustainable outcomes.”

Kilpatrick emphasizes that sustainability isn’t just about compliance – it’s about resilience.

“In a Deloitte and Fortune quarterly survey, and for the last several surveys into 2024…60% of CEOs in responded that geopolitical instability was the number one issue that kept them up at night…45% of CEOs said inflation was number two.” Kilpatrick said. “Then the third one was increasing regulations, which does link to some degree to sustainability, but also to labor practices around the world, et cetera. In addition to resilience and sustainability, we’re seeing a number of companies revisiting their global supply chain footprints.”

As companies transition toward greener practices, using sustainable materials, reducing waste, and optimizing logistics for lower emissions are necessary to ensure long-term viability and meet rising consumer expectations.

AI Is the Future, But Start Small

The buzz around artificial intelligence (AI) and generative AI was palpable. And it’s a perfect fit for supply chains – there are volumes of data available, so many decisions to be made, and a wealth of possibilities for process and workflow automation. However, none of those opportunities materialize into supply chain resilience without the right strategy.

“You need to start small, maybe in a single facility or region, and show tangible ROI before scaling,” Rierdon suggested. “Senior leaders hear a lot about AI, but the key is to get started – put in an application, understand how your data flows, and build from there. Without that foundational work, you can’t move forward to more advanced capabilities like generative AI.”

Taylor agreed: “The challenge is leveraging massive volumes of data efficiently without overwhelming our teams. But before we can unlock generative AI’s full potential, master data management and governance must be heavily invested. It’s about ensuring data is accurate and high-quality enough to generate necessary insights faster than any human could by combing through spreadsheets.”

The message from our executive panel is clear: take the plunge but start with manageable projects. Whether using AI for demand forecasting or predictive maintenance, the panel stressed that AI is here to stay, and businesses that don’t adopt it will fall behind and miss out on supply chain resilience.

The Ultimate Lesson: Embrace Innovation, Build Resilience

Resilience, agility, and innovation are the cornerstones of future supply chain success. The top concerns that our panelists discussed aren’t just roadblocks – they’re opportunities for transformative and meaningful change.

So, whether you’re leveraging AI, managing risk, navigating shortages, or embracing sustainability, remember: the future of supply chain management lies in building adaptable, data-driven processes that ensure long-term viability and competitive advantage.

The cloud has emerged as the cornerstone of modern business and supply chain innovation. From retail and food and beverage to manufacturing and life sciences, companies from a wide variety of industries are realizing the benefits of the technology, revolutionizing how they operate, collaborate, and generate value.

Yet, many manufacturers still rely on outdated, self-managed ERPs – and the consequences are nothing short of severe for every supply chain they touch. As mainstream maintenance ends, these companies are left running unsupported software, exposing critical security vulnerabilities that can slow down production lines, cause unrecoverable financial loss, and damage brand reputation.

Such a resistant or slow-and-steady attitude toward the cloud is a tinderbox for worldwide supply chain disruption. However, manufacturers can swiftly reverse this alarming trend if they heed the urgency of migrating to the cloud and act promptly.

An Opportunity Bigger Than Cost Savings

Given the high stakes of today’s supply chain operations, transitioning to the cloud is not just a short-term technology fad – it’s a strategic imperative that goes far beyond cost efficiency. Accenture reports that 60% of companies considered “cloud leaders” outperform their competitors in supply chain transformation, with 53% realizing improved resiliency and sustainability.

The true power of the cloud lies in unlocking insights from data, enabling seamless collaboration across various internal and external teams, and driving strategic innovation. More importantly, businesses can make informed decisions quickly and adapt to market changes – all of which help enhance their B2B customers’ experiences.

All these advantages are achievable in the cloud. A dynamic platform that adapts to the evolving needs of the business, the cloud offers the flexibility and scalability to support continuous improvement and operational excellence.

Take, for example, the retail industry. Retailers are leveraging cloud-based platforms to optimize inventory management and enhance customer engagement. By integrating supply chain data with business data, they can collaborate closely with their manufacturers in real time to respond to consumer demands and market trends.

The food and beverage sector also benefits from the cloud. Brands are better equipped with the full transparency and real-time insights needed to comply with safety regulations and optimize their production and distribution processes. Plus, coordination between suppliers and manufacturers can be improved, reducing supply chain risks and ensuring high product quality.

Manufacturers use cloud technology for predictive maintenance, production planning, and supplier collaboration. Analyzing data in real time minimizes downtime and drives smooth operations – even in complex global supply chains.

For life sciences companies, the cloud is essential for managing complex supply chains that support pharmaceutical production and distribution. Cloud-based solutions enable secure data sharing with partners and suppliers, facilitating collaboration and ensuring the integrity of temperature-sensitive products throughout the supply chain.

A Catalyst for Supply Chain Excellence

The success of cloud initiatives hinges on the collective efforts of teams across the organization. From IT to operations, every department must be aligned with the cloud strategy and work collaboratively toward common goals. This cross-functional approach ensures a smooth transition to the cloud and full use of the technology’s potential to drive supply chain excellence.

But it’s also important to remember that not every cloud platform is built the same. When choosing a cloud provider, companies must rigorously consider common concerns, such as data management, disaster recovery, cybersecurity, regulatory compliance, responsive scalability, new cost-saving opportunities, and capabilities for extensive collaboration, integration, and business visibility.

These challenges can be effectively mitigated through a strategic partnership and a clear focus on aligning cloud initiatives with broader business objectives. For instance, collaborations with cloud providers can offer secure, reliable environments tailored to specific industry needs and expectations.

Such a partnership ensures critical business requirements are met with:

  • Unified vision: Foster business-wide commitment and drive cohesive action across all departments by aligning the entire company, including leadership, on the cloud strategy and expected outcomes.
  • Innovation catalyst: Leverage the cloud to drive new ways of working, whether in research, supply chain management, or customer engagement. The cloud can serve as a platform for innovation, enabling companies to explore new business models and operational efficiencies.
  • Cross-functional collaboration: Bring together teams from different departments to agree on objectives, strategies, and success metrics to overcome challenges and ensure a successful cloud transition.
  • Cultivated expertise: Develop a culture of continuous learning and technological proficiency across the organization. By investing in training and development, companies can equip their teams with the skills needed to maximize the benefits of cloud technology.
  • Modernized processes: Build resilience against emerging threats by streamlining workflows and compliance while enhancing data security and risk management practices.

Manufacturers Can’t Afford to Wait

The benefits of cloud adoption are clear, but the window of opportunity is closing rapidly.

Manufacturers that step up to this moment with urgency will find that the cloud offers not just a clear path to operational efficiency, but also a bright future filled with new opportunities for growth and success. This means enhanced collaboration, continuous innovation, and responsive agility – everything manufacturers need to be resilient, agile, and ready to meet future demands.