DemandAI+ modernizes demand planning for faster decisions and improved forecast accuracy with purpose-built AI agents.

ALPHARETTA, GA – April 7, 2026 – Aptean, a global provider of mission-critical B2B industry-specific software, today announced the release of Logility DemandAI+ on AppCentral, Aptean’s agentic AI platform. DemandAI+ is Logility’s AI-first demand planning and forecasting solution, designed with advanced AI, and now available with prebuilt agents ready to activate on day one.

Customers can deploy these AI agents to improve forecast accuracy, instantly retrieve historical data, detect emerging trends, and flag training opportunities so planners can focus on the most important decisions and improve forecast performance. Crucially, planners stay in control. Each agent can operate autonomously or with human intervention, giving teams the flexibility to decide where AI acts independently and where a planner stays in the loop.

The prebuilt agents are where organizations start, not where they stop. DemandAI+’s composable architecture means additional agents can be added as planning needs evolve and organizations can work with Logility supply chain experts to build beyond the prebuilt set, without replacing what’s already working.

“Bringing Logility’s demand planning intelligence onto AppCentral is about more than expanding our platform. It’s about closing the gap between AI built to analyze and AI built to act. Supply chain planners don’t need more data presented to them. They need AI with a genuine understanding of how demand moves in their industry, agents able to flag what matters before it becomes a problem and automatically improve with every cycle. DemandAI+ delivers exactly this, and AppCentral was built to make it possible,” said TVN Reddy, CEO, Aptean.

A Planning Advantage That Compounds Over Time.

“Most supply chain teams have spent years being promised AI that would change how they work. What they got were features that surfaced information and waited. DemandAI+ is different — it doesn’t wait,” said Allan Dow, EVP/General Manager at Aptean. “These agents flag risks, guide decisions, and improve on their own, every day, changing how your team operates.”

Agents include:

  • Review Forecast Accuracy: Continuously detects forecast winners and laggards, reveals bias patterns, and directs planners to concentrate on the most important decisions, turning reactive reviews into proactive advantages. 
  • Retrieve History or Forecast: Provides instant access to demand history and forecast data whenever you need it, with no system navigation or technical expertise required. S&OP cycles accelerate when the data is already in front of you. 
  • Detect Trends in Historical Data: Analyzes time-series demand data to surface emerging shifts, such as items trending up, shipments trending down, before they cause disruptions. Planners gain an early-warning advantage, transforming pattern recognition from a manual task into an automated edge. 
  • Training Opportunities: Keeps forecast models accurate and self-improving by identifying anomalies that require planner validation, ensuring the right action is taken, and steadily improving forecast accuracy over time. 

To learn more visit:  https://www.logility.com/solutions/demand/demandai/

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About Logility

Logility, an Aptean company, is a market-leading provider of AI-first supply chain management software engineered to help organizations build sustainable digital supply chains that improve people’s lives and the world we live in. Logility’s fully integrated, AI-driven end-to-end platform where intelligence, automation, and execution work together to help clients know faster, turn uncertainty into opportunity, and transform supply chain from a cost center to an engine for growth. Learn more at www.logility.com.

Logility is a Registered Trademark of Logility, Inc. Aptean and Ready for What’s Next, Now are Registered Trademarks of Aptean, Inc. All other company and product names are trademarks of the respective companies with which they are associated.

About Aptean

Aptean is a global provider of industry-specific software that helps manufacturers and distributors effectively run and grow their businesses. Aptean’s solutions and services help businesses of all sizes to be Ready for What’s Next, Now®. Aptean is headquartered in Alpharetta, Georgia and has offices in North America, Europe and Asia-Pacific. To learn more about Aptean and the markets we serve, visit www.aptean.com.

The Hidden Cost of Forecast Error and the Demand Planning ROI of Fixing It

Key Takeaways

  • Forecast error isn’t a hidden problem; it’s an accepted one. Most planning teams know accuracy is imperfect. They’ve built workarounds: safety stock buffers, manual overrides, and emergency freight. The workarounds work. Until they don’t.
  • The workarounds have a cost you’ve stopped seeing. Expediting, excess inventory, and reactive planning aren’t just inconveniences; they’re a recurring tax on margin that’s been normalized into the operating model.
  • AI is creating a step change, not an incremental improvement. Early adopters are reducing forecast error by 10–30% and cutting manual planning effort by 60%. That’s not optimization; it’s a different operating model.
  • When your competitors close the gap, your workarounds become liabilities. The cost of tolerating forecast error isn’t static—it’s growing relative to what leading operations will achieve in the next 12–18 months.
  • The urgency isn’t theoretical. Calculating your demand planning ROI starts with three numbers: your inventory value, your current accuracy band, and your annual freight spend.

The Supply Chain Forecasting Problem You’ve Learned to Live With

You already know your forecast accuracy isn’t perfect. You know there’s error in the model, and you’ve built a supply chain that accounts for it. Extra safety stock to cover the miss. A team of planners who spend a significant portion of their week adjusting outputs and overriding recommendations. An expedite budget that rarely comes in where you hoped. An S&OP process that, if everyone’s being candid, still relies on a few experienced people who know where the model falls short.

That system works. Not ideally, but well enough. The business runs. Customers get served. Quarters close. The workarounds have become invisible because they’ve become routine.

This is the nature of an accepted problem. It’s not that forecast error has been dismissed, it’s that the organization has developed a functional tolerance for it. The cost has been absorbed into the way things work.

What’s changing is the competitive baseline. Demand variability has always been the core challenge in supply chain planning; how well your operation can anticipate and respond to shifting customer demand across channels, products, and market conditions. AI-powered planning is now addressing that variability at a precision and scale that makes the status quo genuinely expensive to maintain. Not expensive in the abstract. Expensive in specific, calculable dollars that show up in working capital, freight costs, and margin. And the operations that are moving now will create a performance gap that gets harder to close the longer it sits.

The Hidden Cost Isn’t the Forecast Error. It’s the Infrastructure You Built Around It.

Here’s the reframe that matters: the cost of poor forecast accuracy isn’t just the accuracy gap itself. It’s everything your organization has built to absorb the consequences of that gap. Those buffers, workarounds, and manual overrides represent one of the most significant supply chain cost optimization opportunities in most businesses. Hidden because the cost has been normalized rather than examined.

Every dollar of safety stock above what optimal accuracy would require is working capital held hostage against a planning problem. For a manufacturer or distributor with $27 million in finished goods inventory running “fair” accuracy in the 70-80% range, with manual overrides common, the excess buffer tied to that accuracy level represents $4 million to $8 million in capital that could be redeployed. That’s not a loss on the income statement. It’s capital quietly sitting in a warehouse, doing the job that better planning would make unnecessary.

Every hour your planning team spends adjusting forecasts, reconciling data, and compensating for what the model gets wrong is labor redirected from strategic work. Logility customers consistently report 60% reductions in manual planning effort after deployment. If your team is spending 28 hours a week per planner on manual tasks, that’s not a minor inefficiency. It’s hundreds of thousands of dollars annually in capacity being consumed by workaround activity.

Every emergency freight order is a symptom. APQC benchmarking data shows top-performing supply chains hold expedite spend to 3% of logistics costs. Bottom performers spend 10%. And 49% of expedite events trace directly back to inaccurate demand forecasts. The premium you’re paying on those shipments isn’t bad luck, it’s the logistics bill for a planning gap.

None of these costs are dramatic in isolation. That’s precisely why they persist. They’ve been rationalized, budgeted for, and absorbed into the operating model so thoroughly that they no longer feel like a problem. They feel like overhead.

What the AI Demand Planning Step Change Actually Means

The reason this matters right now – not in two years, not eventually, is that the technology that addresses forecast error at its root has changed fundamentally. AI-native demand planning isn’t a faster version of the rules-based tools most manufacturers and distributors are running. It’s a different category.

Rules-based forecasting applies fixed logic to historical patterns. It struggles with new products, promotions, seasonality, and demand signals it hasn’t seen before. It requires planners to compensate for its blind spots manually which is why the manual override culture exists in the first place.

AI-native tools like Logility’s DemandAI+ apply ensemble modeling across multiple forecasting approaches simultaneously, weight them dynamically based on what’s working for each SKU and location and incorporate external signals that rules-based systems can’t process. The result isn’t a marginal improvement in the same model. It’s a demand signal that’s fundamentally more accurate and continuously improves as it learns from your data.

The demand planning metrics that tell this story most clearly are MAPE (mean absolute percentage error), forecast bias, and inventory turns. Glen Raven, a consumer durables manufacturer, achieved a 50% improvement in MAPE after moving to Logility. Not as a long-term project outcome, but as a measurable operational shift. Red Wing Shoes reduced inventory across their network, increased fill rates, and cut their S&OP process time in half. These aren’t edge cases. They’re the documented results of companies that made the move from manual workflows to modern intelligence.

The important competitive implication: these companies didn’t just improve their own performance. They changed the benchmark. When leading manufacturers and distributors are running at 85-92% forecast accuracy and your operation is at 72%, the gap shows up in working capital efficiency, service reliability, and the speed at which your teams can respond to market changes. That gap compounds.

Why the Clock Is Running on Manual Supply Chain Forecasting

The supply chain technology market is moving at a pace that creates genuine first-mover advantage. The operations investing in AI-powered planning now are building institutional capability; trained models, refined workflows, embedded processes that take time to develop. The learning curve is real. Starting later doesn’t just mean starting with less capability. It means starting further behind relative to competitors who are already a year into the compounding.

There’s also an internal urgency that doesn’t get discussed enough: the fragility of the current state. Most manufacturers and distributors running manual, spreadsheet-heavy planning processes are one or two key departures away from a significant planning disruption. The institutional knowledge that makes the workarounds work. The experienced planner who knows the model’s quirks. The analyst who maintains the spreadsheet logic. All which aren’t documented, isn’t scalable, and is getting more difficult to replace as the talent market tightens.

Modernizing planning infrastructure isn’t just about improving accuracy. It’s about replacing fragile, person-dependent processes with durable systems that don’t degrade when your best planner gets recruited away.

Making the Business Case for AI Demand Planning Investment

The question most planning leaders haven’t answered isn’t “do we have a forecast accuracy problem?” It’s “what is our current accuracy level costing us, in dollars, right now?”

Building a clear demand planning ROI case starts with three numbers: your finished goods inventory value, your current forecast accuracy band, and your annual freight spend. From those inputs, the dollar value of your current state, excess inventory, expedite overrun, and planning capacity consumed by manual work becomes a specific number rather than a general concern.

That specificity matters because it changes the conversation. “We need better forecasting tools” is a hard internal sell. “Our current planning approach is carrying $4.2 million in recoverable working capital, $380,000 in annual expedite overrun above best-practice benchmarks, and $290,000 in planner capacity consumed by manual tasks; a total annual exposure of nearly $5 million” is a capital allocation decision with a return on investment.

The Logility Cost Optimizer assessment is built to run that calculation for your specific operation. It takes the key inputs from your supply chain and returns a personalized estimate of what your current state is costing you mapped to Logility customer outcomes at comparable accuracy and revenue levels.

The problem you’ve learned to live with is costing more than you think. And the window to address it on your terms before the competitive gap widens further, is narrower than it was 12 months ago.

Cost Optimizer Assessment

Take the Logility Cost Optimizer assessment to put a dollar figure on your current planning state. Or explore how DemandAI+ is helping manufacturers and distributors move beyond the workarounds—and close the gap for good.

Assessment
DemandAI+

Only Have a Minute? Here Are the Key Takeaways:

  • Manual processes hold planners back. When your team spends most of its time importing data and building reports, strategic thinking gets crowded out — and that’s where the real value is lost.
  • Automation creates a single source of truth. AI agents validate and cleanse data in real time, eliminating the errors and inconsistencies that make forecasts unreliable.
  • The planner’s role has fundamentally shifted — and planners stay in control. Each AI agent can operate autonomously or with human intervention, so your team decides where AI acts independently and where a planner stays in the loop.
  • Smarter inventory planning means choosing service levels over static safety stock. Simulating alternative policies before committing to them leads to higher fill rates and lower carrying costs.
  • The Logility platform continuously learns from your input. Unlike traditional models that degrade over time, it gets more accurate and more aligned with your business with every use.
  • Automation scales with you. As your SKU count grows and your supply chain complexity increases, automated planning keeps pace — without adding headcount.

The pressure on supply chain teams hasn’t eased. If anything, it’s accelerating. More SKUs, more channels, more volatility — and in most cases, no more resources to handle it.

That gap is where manual processes break down. Your planners can only review so many rows in a spreadsheet before something slips. And when a forecast is off by even a few percentage points, the downstream effects on inventory, service levels, and working capital can be significant. The question isn’t whether you need to improve your planning — it’s how quickly you can make that shift.

The role of AI in supply chain planning has moved from experiment to expectation. What was once the domain of large enterprises with massive IT budgets is now accessible to growing organizations too. The right platform can give your team the same supply chain automation capabilities — and the same competitive edge — that larger players have built over years.

That’s why the supply chain planning trends shaping 2026 center on four interconnected shifts: cleaner data, elevated planners, smarter inventory decisions, and automation that scales alongside your business.

So, what does this mean for you? Let’s break it down.

How Automation Cleans Up Your Data — and Your Decisions

The Single Source of Truth Problem

Most planning breakdowns trace back to the same root cause: inconsistent, unreliable data. When your team is reconciling numbers from multiple systems — or manually fixing import errors before they can even start planning — you’re already behind.

Automation addresses this at the source. AI agents validate and cleanse incoming data continuously, flagging anomalies and correcting inconsistencies before they reach your planners. The result is a single source of truth that every team works from — no more arguing over whose numbers are right in the S&OP meeting.

That data foundation isn’t just about accuracy. It’s about confidence. When your planners trust the numbers they’re looking at, they can make faster decisions and spend less time second-guessing the inputs.

From Raw Data to Actionable Insight

Data accuracy is the baseline. What you do with that data is where the real difference gets made.

Advanced visual intelligence within the Logility platform helps your team identify unusual patterns, understand what’s driving forecast changes, and validate assumptions before they’re baked into a plan. You can overlay historical and forecasted seasonality, trace demand signals back to their source, and quickly understand the factors behind your numbers — rather than guessing.

This clarity matters most when you need to explain a forecast to a stakeholder or make a call under time pressure. When the logic is visible and the data is clean, decisions are faster and more defensible.

How AI Is Elevating the Planner’s Role

From Transactional to Strategic

Not long ago, demand planners spent the bulk of their time on tasks like data imports, report building, and manual exception reviews. These aren’t bad tasks — they’re just not where experienced planners add the most value.

AI has changed that calculus. The Logility platform identifies outliers, generates alerts, and surfaces exceptions automatically, so your planners aren’t hunting through data to find problems. They’re responding to clearly prioritized signals. That frees up time for the higher-value work: scenario analysis, cross-functional collaboration, and strategic planning decisions that genuinely move the business forward.

Your Team Stays in Control

One concern that comes up consistently when organizations start evaluating AI-driven planning is a reasonable one: what happens to planner judgment when AI starts making decisions?

The answer, done right, is that it improves. AI doesn’t take over — it takes direction. Each agent in the Logility platform can operate autonomously or with human intervention, and your team decides which mode applies where. For routine, high-confidence decisions, you can let the system act independently and reclaim that time. For higher-stakes calls — a new product launch, an unusual demand pattern, a supplier disruption — a planner stays in the loop, reviews the recommendation, and applies the context that no algorithm has on its own.

That flexibility matters because no two planning environments are identical. What your team chooses to automate fully today may warrant closer oversight during a market shift tomorrow. The system accommodates that without requiring a reconfiguration project every time priorities change.

A Model That Learns from You

One of the more meaningful differences between AI-driven planning and traditional forecasting is how the model evolves. Traditional rules-based systems tend to degrade over time as market conditions change. The Logility platform does the opposite: every time you resolve a training opportunity, add an event, or apply your industry expertise to explain an outlier, the model gets more accurate and more aligned with your specific business behavior.

This isn’t a static system you have to maintain — it’s a planning partner that improves as you use it.

The platform’s status monitor captures every adjustment you make, creating an audit trail that also functions as a coaching tool. And the forecast value add feature helps you evaluate the impact of your manual changes — so you can see clearly where your expertise is adding value, and where it’s better to trust the model.

Supply Chain Optimization: From Fixed Inventory Rules to Dynamic Policies

Prioritizing Service Level Over Static Safety Stock

Traditional inventory planning often anchors on fixed safety stock quantities — a set number of units that feels safe but may not reflect actual demand variability or service level requirements. The result is either too much inventory tying up capital or not enough to meet customer commitments.

A better approach prioritizes a consistent service level target and works backward from there. The Logility platform lets you simulate alternative inventory policies against real data before committing to any of them. You can model the impact on inventory investment, fill rates, and cost-to-serve — side by side — so the decision is informed, not just instinctive.

Applying best-practice policies in bulk across multiple products means you’re not making that judgment call product by product. You can adjust your strategy across your entire portfolio as business conditions change, maintaining the agility your operation requires without creating more manual work.

Execution That Follows the Strategy

Once your inventory strategy is set, execution needs to keep pace. The order review board in the Logility platform translates planning into clear, actionable guidance for your buyers — what to order, when, and why. That “why” matters: planners and buyers can trace every recommendation back to the underlying demand signal, safety stock calculation, and lead time assumption.

That visibility eliminates the back-and-forth between systems, reduces expediting, and keeps your inventory working for the business rather than draining capital.

Supply Chain Automation That Scales as You Grow

The Scalability Gap in Manual Processes

Manual planning processes that work reasonably well for a smaller operation become unsustainable as SKU complexity increases, new channels are added, or your supply chain spans more geographies. The volume of decisions that once fit in a planner’s head — or a spreadsheet — quickly outgrows both.

Automation closes that gap. The Logility platform adapts to your growing complexity without requiring proportional headcount increases. Exception-driven workflows mean your team focuses attention where it’s needed most, while routine calculations and replenishment decisions run in the background.

This scalability is especially valuable for mid-market organizations competing against larger players. You can meet increased demand, capitalize on market opportunities, and respond to customer needs faster — without the overhead that larger competitors carry.

Integration with Your ERP as the Backbone

Automated planning doesn’t operate in isolation. Connecting the Logility platform to your enterprise resource planning (ERP) system ensures that purchase orders, transfer orders, and work orders flow seamlessly from plan to execution. A tailored approvals process means the right orders are generated and distributed automatically, reducing manual intervention while maintaining the oversight your business requires.

The result is a supply chain that moves from procurement through distribution with less friction — and a team that spends less time managing the process and more time on supply chain optimization decisions that actually move the needle.

Staying Ahead of Supply Chain Complexity in 2026 and Beyond

The shift to AI supply chain planning isn’t a future consideration. It’s happening now, and the gap between teams that have embraced supply chain automation and those still relying on manual processes is widening.

But you don’t have to make that shift alone. The Logility Decision Intelligence Platform gives your planners the tools to move from reactive firefighting to proactive, strategic management — while continuously learning from their expertise to improve forecast accuracy over time.

Explore the Logility platform to see how AI-driven demand planning and inventory optimization can work for your team. Or schedule a demo to walk through the capabilities with one of our supply chain experts.

Recognized for Completeness of Vision and Ability to Execute

Alpharetta, GA – March 23, 2026 – Aptean (Logility) has been recognized as a Leader in two 2026 Gartner Magic Quadrant reports – Supply Chain Planning Solutions: Process Industries and ​Supply Chain Planning Solutions: Discrete Industries. Aptean (Logility) is one of only four vendors to have been named a Leader in both reports.

Logility’s supply chain solutions have helped organizations move beyond static planning processes to true decision centric operations, where intelligence, automation, and execution work together in real time to deliver faster, smarter outcomes. Continuing its legacy of innovation, the company is at the forefront of using Agentic AI in Supply Chain, powering real-time, event-driven autonomous planning and orchestration that connects systems and processes from concept to customer.

“We believe this level of recognition reflects Logility’s continued commitment to delivering tangible and measurable outcomes for our customers,” said Allan Dow, EVP/General Manager, Aptean. “Our AI-powered, decision centric solutions help organizations plan, execute, and adapt across the full scope of their operations. Whether it’s providing instant answers, automating tedious and time-consuming tasks, or surfacing and then executing scenarios based on real-time information, the Logility Decision Intelligence Platform lets supply chain leaders move from reacting to anticipating.”

“Aptean’s continued investment in advanced AI and integrating new capabilities across our broader portfolio reinforces Logility’s position as the intelligence core of an autonomous, AI-enabled supply chain platform,” said TVN Reddy, CEO, Aptean. “We look forward to building on this momentum and driving the next generation of supply chain innovation.”

A complimentary copy of the: 2026 Gartner Magic Quadrant for Supply Chain Planning Solutions for Discrete Industries is available for download here: http://www.logility.com/analyst-report/2026-Gartner-MQ-SCPS-Discrete-Industries/. The 2026 Gartner Magic Quadrant for Supply Chain Planning Solutions for Process Industries is available here: https://www.logility.com/analyst-report/2026-Gartner-MQ-SCPS-Process-Industries/.

Gartner delivers actionable, objective insight to executives and their teams. Its expert guidance and tools enable faster, smarter decisions and stronger performance on an organization’s mission-critical priorities.

The Gartner Magic Quadrant evaluates vendors based on their Ability to Execute and Completeness of Vision. We are honored to be included among the recognized vendors in this important report. Learn more about the Magic Quadrant.

Gartner, Magic Quadrant for Supply Chain Planning Solutions: Process industries, Pia Orup Lund, Joe Graham, Buse Aras, Jan Snoeckx, Eva Dawkins, Julia von Massow,17 March 2026 and Gartner, Magic Quadrant for Supply Chain Planning Solutions: Discrete Industries, Joe Graham, Pia Orup Lund, Buse Aras, Julia von Massow, Eva Dawkins, Jan Snoeck, 18 March 2026

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Gartner Disclaimer:

Gartner and Magic Quadrant are trademarks of Gartner, Inc. and/or its affiliates. Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner’s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose.

About Aptean

Aptean is a global provider of industry-specific software that helps manufacturers and distributors effectively run and grow their businesses. Aptean’s solutions and services help businesses of all sizes to be Ready for What’s Next, Now®. Aptean is headquartered in Alpharetta, Georgia and has offices in North America, Europe and Asia-Pacific. To learn more about Aptean and the markets we serve, visit www.aptean.com.

About Logility

Logility, an Aptean company, is a market-leading provider of AI-first supply chain management software engineered to help organizations build sustainable digital supply chains that improve people’s lives and the world we live in. Logility’s fully integrated, AI-driven end-to-end platform where intelligence, automation, and execution work together to help clients know faster, turn uncertainty into opportunity, and transform supply chain from a cost center to an engine for growth. Learn more at www.logility.com.

Logility is a Registered Trademark of Logility, Inc. Aptean and Ready for What’s Next, Now are Registered Trademarks of Aptean, Inc. All other company and product names are trademarks of the respective companies with which they are associated.

Contact: press@logility.com

Supply chain management is evolving rapidly, driven by advancements in AI and decision intelligence. As we move through 2026, integrating AI into supply chain operations is a necessity. AI-driven decision intelligence is transforming how organizations approach supply chain management, shifting from reactive to proactive strategies. This transformation is crucial for reducing decision latency and maximizing time to value. Companies can focus on future insights rather than past constraints.

In today’s fast-paced supply chain environment, disruptions are a constant challenge. From lane closures to unexpected demand spikes, these events can ripple across your entire supply chain, impacting service levels, costs, and revenue. To navigate these challenges, supply chain teams need solutions that allow them to practice and prepare for the future. Digital twins offer this capability, enabling teams to simulate various scenarios and responses before they occur in real life. This proactive approach ensures that when disruptions happen, the response is second nature, minimizing negative impacts.

In a recent webinar, Logility experts Scott Tillman, VP of Innovation, and Matt Johnson, Director, Product Management broke down the top forces influencing the year ahead and share how decision‑centric, AI‑enabled strategies can help teams navigate uncertainty with clarity, speed, and strategic impact. Read ahead for the highlights.

AI in Supply Chain Management

AI’s role in supply chain management has evolved from providing backward-looking analytics to becoming a collaborative partner. “Most organizations spend way too much time in the past. Yesterday’s demand. Yesterday’s constraints. Yesterday’s surprises,” shared Tillman.

Decision intelligence, combining analytics, AI, and decision models, shortens the distance from insight to action. This shift enables organizations to make informed decisions quickly, aligning with their strategic goals. For example, AI can simulate scenarios, such as the impact of a port shutdown or a supplier going offline to provide actionable insights in real-time. This capability is essential for navigating the complexities of modern supply chains and ensuring resilience in the face of disruptions.

The rise of agentic AI and autonomous supply chain agents marks a significant step forward in supply chain management. These digital teammates can reason, plan, and act within predefined guardrails, taking on procedural tasks that previously burdened human planners. By automating routine decisions, agentic AI frees up human talent to focus on strategic alignment and scenario design. This approach enhances efficiency and empowers supply chain teams to operate with greater precision and speed. The integration of agentic AI into existing workflows is seamless, providing industry-specific solutions that require minimal configuration.

“The organizations moving fastest aren’t the ones with the biggest systems. They’re the ones with the most adaptable systems,” explained Johnson.

Human-AI collaboration is reshaping the day-to-day experience of supply chain teams. AI acts as an always-on first draft analyst, filtering noise, assembling data, and surfacing scenarios. This shift from manual reconciliation to strategic reasoning elevates the role of human planners, allowing them to focus on high-value activities.

“The paradigm is shifting from AI being a copilot for humans to humans being the copilot for AI,” stated Tillman

Organizations that embrace this collaboration see improved confidence and alignment, as teams work from a unified set of scenarios. The transparency and explainability of AI recommendations build trust over time, enhancing the overall effectiveness of supply chain operations.

Webinar: Top 5 Trends for 2026: How AI Strategies Are Shaping the Future

In this webinar, Logility experts Scott Tillman and Matt Johnson will break down the top forces influencing the year ahead and share how decision‑centric, AI‑enabled strategies can help teams navigate uncertainty with clarity, speed, and strategic impact.

Access Here

Composable Architectures and Digital Twins in 2026

Composable and modular architectures are becoming a strategic priority for supply chains in 2026. Traditional monolithic systems, while powerful, are rigid and slow to adapt. Composable architectures function like a fleet of synchronized drones, allowing organizations to add new capabilities quickly and safely. This agility is crucial in a volatile environment where demand swings, supplier instability, and regulatory shifts are common. Composable platforms enable continuous evolution, allowing companies to innovate without downtime and integrate new data sources seamlessly. This adaptability is a competitive advantage, positioning organizations to stay ahead of disruptions.

Digital twins must be dynamic and updated in real-time to be effective. This allows you to see ripple effects instantly and test alternate carriers, shift production, resequence fulfillment, or reshape inventory. By knowing the best path for your business before acting, you can make informed decisions with confidence. The real breakthrough comes when digital twins are combined with decision intelligence. While the twin shows every possible future, decision intelligence identifies the best possible one. Companies can simulate dozens of scenarios in minutes and execute the chosen strategy with confidence, having pressure-tested it across the network.

“Digital twins aren’t experimental anymore. They’re becoming strategic infrastructure,” said Tillman.

As we move towards 2026, digital twins are becoming a strategic infrastructure rather than experimental tools. They turn uncertainty into something you can model, navigate, and use to your advantage. Organizations that master simulation and respond quickly will make better decisions with fewer surprises. Continuous network optimization allows you to model your digital twin, suggesting optimization scenarios and comparing services and cost impacts side by side. This democratizes optimization, turning what used to be weeks-long consulting into something a planner can explore interactively in a day or a few hours.

To leverage these advancements, you need to reorient your organization around the decisions you’re making. Understand how decisions are made and orchestrated in processes, then analyze and dissect them to see how AI can enable these processes. Starting somewhere is key to a successful AI journey. Companies that lean into AI now are building the foundations for data and human-AI collaboration patterns that will define competitive advantage. The only real risk is being left behind, so start now, start small, and build from there.

The integration of AI and decision intelligence into supply chain management is transforming the industry. These advancements enhance efficiency, precision, and resilience, while composable architectures provide the agility needed to navigate a volatile environment. Moving deeper into 2026, organizations that embrace these trends will be well-positioned to achieve supply chain excellence and drive strategic growth.

Intelligent supply chain planning, AI driven logistics, and end-to-end agentic orchestration take center stage at Manifest 2026.

Las Vegas, NV, Manifest 2026, February 9, 2026 — Aptean, a global provider of mission‑critical enterprise software, today announced new momentum in its supply chain solution strategy, highlighting advancements in intelligent supply chain execution, AI‑driven logistics and enterprise-wide decision‑making.

At Manifest 2026, Aptean is showcasing how organizations are moving beyond data‑driven insights to true decision centric operations, where intelligence, automation and execution work together in real time to deliver faster, smarter outcomes. The Aptean booth will feature unified, AI-driven, end-to-end orchestration across supply chain planning, manufacturing execution, transportation management, and more.

Powering Decision Centric Enterprises with AI

Traditional supply chain systems were designed to record, plan and report—not to make decisions. Even where AI exists, it often operates in isolated tools that optimize locally rather than across the enterprise. Today’s challenge isn’t data scarcity but decision misalignment, as teams navigate conflicting signals, rigid cycles, and siloed priorities.

The Decision Centric Enterprise model elevates decisions as the core operating principle. Instead of asking, “What data do we have?” organizations ask, “What decision are we making, and what outcome do we need?”

Powered by a unified platform, real‑time visibility and AI that continuously senses change and orchestrates action, the model connects planning and execution into one continuous system. The result: a smarter, more adaptive supply chain with faster disruption response, stronger margins, higher service reliability, and greater decision effectiveness.

“Our Decision Centric Enterprise approach helps ensure intelligence is embedded directly into operations, so organizations can better anticipate change, respond faster, and continuously optimize performance,” said Allan Dow, Allan Dow, EVP and General Manager at Aptean.

Dow will speak on the Manifest Innovation Main Stage on Tuesday, February 10 at 11:30 AM, sharing how companies can accelerate the shift to a decision centric model.

Delivering End-To-End Supply Chain Orchestration

To advance the Decision Centric Enterprise model, Aptean has acquired OpsVeda, bringing real-time orchestration to the Logility platform enabling agentic decision making. OpsVeda’s execution capabilities expand Logility’s advanced supply chain planning capabilities, helping organizations move toward continuous, AI-driven orchestration.

“OpsVeda provides Logility with a composable orchestration architecture and an AI‑powered command center that bridges planning and execution,” said Dow. “The result is that businesses will be better positioned to eliminate operational blind spots, accelerate decision-making, and unlock unprecedented agility in today’s volatile environment.”

This acquisition underscores Aptean’s commitment to shaping the future of enterprise supply chain software and advancing Logility’s capabilities. 

Aptean Intelligence: Built-in AI for Industry

Aptean Intelligence is the AI core of AppCentral, connecting data, automating workflows, and surfacing insights that help every team anticipate what’s next and act faster. Built for industry‑specific needs, it powers the platform’s ability to sense, learn, and act in real time.

AppCentral builds on this foundation by combining deep Vertical AI with a broad set of industry applications, from ERP to supply chain management, transforming how work gets done. Designed for the people who keep industry moving, AppCentral helps teams move faster, operate smarter, and work with greater agility.

“AppCentral is more than software—it’s a teammate,” said TVN Reddy, CEO of Aptean. “It brings AI out of the lab and into daily operations where it drives measurable impact.”

Aptean Intelligence enhances operations with:

  • AI agents that deliver instant answers
  • Intelligent workflows that automate tasks
  • Role‑based AI workspaces tailored to each user
  • Predictive insights powered by vertical AI

AI-Driven Transportation Execution

Aptean’s Transportation Suite is now available in AppCentral, bringing planning, execution, optimization, and visibility into one AI‑driven environment.

Aptean’s Transportation Management Software (TMS) provides real‑time shipment visibility and optimizes loads, carriers, cost, and service—while AI agents surface risks and automate corrective actions. The system supports all modes, ensures least‑cost routing, and automates rating and zoning.

Aptean’s Paragon Route 360, its AI‑native routing and scheduling solution, delivers real‑time visibility, continuous scheduling, predictive insights, and automated execution for fleets, drivers, and logistics teams. Standout capabilities include continuous schedules, intelligent workforce planning, an AI routing assistant, AI agents, and agentic workflows.

Experience Aptean at Manifest 2026

Aptean will demonstrate how real-time visibility, AI-driven insights, and decision centric execution are redefining supply chain performance. Visit Booth #2476 to see how Aptean helps organizations make faster, smarter decisions across the end-to-end supply chain from factory floor to dock door.

About Aptean

Aptean is an AI platform leader combining Vertical AI with industry-specific applications—from ERP to supply chain solutions including asset, transportation, and warehouse management—to deliver an end-to-end solution. We help businesses plan, executive and deliver with greater agility, productivity, and profitability. With a focus on practical innovation and customer success, Aptean empowers companies across manufacturing, distribution, apparel, food and beverage, and more to redefine what’s possible. Our portfolio includes Logility, an AI-first supply chain management platform, Paragon, a leading route planning and optimization solution, and TOTALogistix, a transportation management solution—together enabling smarter, more resilient supply chains.

Learn more about Aptean at www.Aptean.com and explore Logility solutions at www.Logility.com.

For decades, supply chain planners have relied on traditional planning strategies to manage raw materials, goods, and distribution. Tried-and-true processes like Sales and Operations Planning (S&OP), Sales and Operations Execution (S&OE), and Integrated Business Planning (IBP) have served organizations well in stable times with predictable calendars.

However, today’s supply chains are in a permanent state of flux, and organizations that take weeks or months to make decisions within traditional planning cycles can quickly fall out of sync with reality.

What organizations now need is a new approach to supply chain risk management that acknowledges it’s dynamic nature and turns volatility into decisions –creating agile supply chains. The 3 Streams of Planning framework leverages AI to enable organizations to balance day-to-day execution, validate assumptions, and proactively manage threats and opportunities, transforming traditional reactive planning into continuous, insight-driven decision making.

A New System of Continuous Planning

Organizational strategies are designed around the choices an organization makes to achieve its goals related to customer service, growth, and shareholder value. However, in many cases, strategies are created in isolation by different departments and based on separate data sets. This no longer works in today’s era of global volatility, geopolitical turmoil, trade wars, and rapidly changing consumer behaviors. When forecasts fall out of sync with market reality, and organizations take weeks to adjust, it leads to stockouts, overstocking, and missed opportunities.

Fortunately, technology and AI now enable planners to digitally integrate these datasets and significantly improve supply chain optimization. AI functions can help address many of the inherent difficulties of executing a strategic plan by translating the day-to-day actions of the knowledge workers who need to align across all departments. Keeping plans aligned with the underlying assumptions and current data enables the organization to remain nimble and respond more quickly.

Generative AI can help capture KPIs and assumptions, making them understandable and relatable to everyone, translating them for every work in the chain and for every decision. This makes decision-making based on meeting business outcomes instead of arbitrary numbers. Further, AI can  help overcome decision paralysis by proposing options and solutions with supporting context.

By integrating these AI capabilities into the 3 Streams of Planning Framework, organizations can make more informed decisions, turning volatility from a threat into a competitive advantage.

Read Piet’s new book, The AI Compass for Supply Chain Leaders’

The AI Compass for Supply Chain Leaders introduces a bold new approach where artificial intelligence and human insight work hand-in-hand to drive faster, smarter, and more resilient decisions. Drawing on groundbreaking research and real-world applications, this book reveals how leading organizations are transforming their planning processes to thrive in uncertainty.

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The Normal Stream: Managing Continuous Flow

The Normal Stream of planning is the default operational path—the continuous flow of goods reaching customers on time, in full, and at the right price and cost. It includes forecasts for the coming weeks and months, with agreed-upon budgets and acceptable variability.

This work was historically buried within S&OE and S&OP review cycles, consuming valuable meeting time for planners, even when everything was running smoothly. However, the new 3 Streams of Planning approach moves this information from routine execution into continuous operational management. It includes producing, delivering, and selling items that fit within established frameworks, while making continuous adjustments between sales, supply chain teams, and inventory management.

By leveraging AI in this stream, organizations can better evaluate events that occur during execution. It offers all parties access to the latest information at all stages of the supply chain, empowering them to make decisions within the normal framework without waiting for the next planning meeting.

It also eliminates the biased decision behaviors that have typically plagued supply chain planning. In the traditional process, a sales team might set a budget of 30 widgets, then tell finance they only need 20 to overshoot their goals, while telling the supply chain they need 40 to ensure they have sufficient stock. While this has been a common practice for decades at many organizations, it is costly and potentially leaves opportunities on the table. 

In the new model, all information, including customer details, actual orders, and relevant data, is made accessible to all teams in formats they understand and can work with. This transparency eliminates disparate forecasts across departments, enabling management to continually monitor emerging risks and opportunities. As the system learns from its own behavior, it consistently improves baseline understanding and allows teams to focus more on meaningful exceptions than confirming routine events.

The Assumptions Stream: Making the Invisible Visible

Plans are built on forecasts and assumptions about things like promotional lift, competitive positioning, price elasticity, inflation rates, lead times, and customer behavior. However, in traditional planning, these assumptions are largely invisible, buried in spreadsheets and understood only by individuals. The Assumptions Stream makes these critical foundations explicit and measurable, enabling continuous monitoring.

This stream also operates by asking fundamental questions at regular intervals—whether the assumptions are still correct, whether they need adjustment, and whether they still meet the targets. Common questions can include things such as:

  • Is the promotional lift still the same, or is competition gaining traction?
  • Do the new products deliver what was expected
  • Are industry indexes reacting as anticipated?
  • Is inflation in check?
  • Is pricing correct?

AI can be especially helpful in this stream, continuously monitoring the assumptions and comparing them against incoming data. The system surfaces early flags as deviations emerge and turns potential surprises into manageable adjustments, enabling the plan to evolve and respond to events promptly, before failures occur.

New information can also trigger event-driven meetings to determine next best actions. Unlike traditional monthly reviews that focus on explaining past performance, this approach enables departments to collaborate in a forward-looking manner. Teams can work to eliminate unaccounted-for revenue gaps before they lead to frantic error-chasing.

The Assumption Stream also drives alignment across cross-functional teams by sharing the same assumptions and real-time monitoring data. For example, if inflation influences demand differently than expected, the organization can quickly bring together sales, marketing, and finance to collaboratively adjust the plan, with everyone working from the sales digital insights. Planners move from treating assumptions as static inputs to viewing them as a “living hypothesis” that is continuously validated and adjusted.

The Risk & Opportunity Stream: Building Anti-Fragility

The Risk & Opportunity data stream continually scans for opportunities and threats. It tracks information like competitor actions, promotional activities, supply constraints, tariff changes, and geopolitical shifts. It also promotes anti-fragility by preparing responses in advance and positioning the organization to benefit from volatility.

Anti-fragility is a state where supply chains not only withstand but also benefit from volatility by assessing and capitalizing on change. Management can use this stream to consistently map risks and opportunities by asking critical questions such as how risks may impact the organization, what it can do to address those risks, and whether there is a potential competitive advantage in doing so.

There are many real-world examples that can help illustrate the power of this stream. For example, home decoration categories surged during the pandemic, prompting retailers to secure capacity wherever they could. However, this capacity wasn’t necessary the following year, and organizations that correctly attributed the unusual surge to specific pandemic-related factors could respond more effectively when conditions later changed. Another example is the life sciences sector. Companies that identified competitor stockouts as opportunities and gathered information at the source could take immediate action to increase supply and promote their products to capture market share. Additionally, tariff changes also reflect economic conditions that could pose risks in some established markets while offering opportunities in others. 

By using historical insights and digital building blocks from the Normal Stream, management can validate new assumptions and remake plans in hours rather than having to rework all the numbers from scratch. When alerts are triggered, the system presents playbooks and decision options that enable faster response to both opportunities and threats.

The Path Forward: Continuous Intelligence and Better Decisions

By using these three streams of planning and AI, organizations build an agile supply chain to prevent blind spots by design and offer decision-makers a continuous picture of execution, expectations, and events. Fortunately, organizations can adopt this framework incrementally and modernize their planning without having to rebuild existing systems. This results in faster, more informed decisions that convert volatility from a threat into a competitive advantage.

Builds on Aptean’s recent acquisition of Logility by adding OpsVeda’s AI-Driven command center and composable architecture to deliver end-to-end AI supply chain orchestration 

ALPHARETTA, GA – January 16th, 2026 – Aptean, a global provider of mission-critical B2B enterprise software solutions, announced the acquisition of OpsVeda, an AI-powered operations command center. Building on Aptean’s recent acquisition of Logility  – a market-leading provider of AI-first supply chain management software – this latest move doubles down on Aptean’s vision for an autonomous, end-to-end supply chain platform. 

OpsVeda’s real-time, agentic execution capabilities will complement and extend Logility’s advanced planning and optimization solutions, helping customers move beyond static spreadsheets and siloed data toward continuous, AI-driven orchestration across the supply chain. The result is that businesses will be better positioned to eliminate operational blind spots, accelerate decision-making, and unlock unprecedented agility in today’s volatile environment. 

Logility applies advanced AI and optimization to demand, supply, and inventory planning, giving organizations predictive insights, visibility, and resilience. OpsVeda will add an agentic AI execution layer designed to continuously observe live operational data, reason over changing conditions, and take or recommend actions aligned with business goals and constraints, closing the gap between planning and execution. 

“OpsVeda provides Logility with a composable architecture orchestration solution and an AI-powered command center designed to bridge planning and execution, supporting smarter, faster decisions,” said Allan Dow, EVP and General Manager at Aptean and prior CEO of Logility. “By aggregating data from a wide variety of enterprise systems and LLMs in real time to drive intelligent actions, OpsVeda sets a new standard. This acquisition underscores Aptean’s commitment to shaping the future of enterprise supply chain software and advancing Logility’s capabilities. On behalf of Aptean, we are thrilled to welcome the OpsVeda team as we accelerate our vision to transform how supply chains operate globally.” 

“The combination of OpsVeda and Logility presents a fantastic opportunity to expand globally and deliver real-time visibility and execution for our customers,” said Sanjiv Gupta, CEO of OpsVeda. “By pairing Logility’s planning strengths with OpsVeda’s real-time data foundation, we can accelerate Agentic AI orchestration – turning insights and decisions into coordinated actions across the enterprise, at scale. Our customers will also gain access to Aptean’s extensive suite of complementary ERP and SCM solutions, creating a unified platform for end-to-end supply chain excellence.” 

Aptean is committed to extending the OpsVeda platform while also integrating its capabilities across Aptean’s portfolio, reinforcing Logility’s position as the intelligence core of an autonomous, AI-enabled supply chain platform and expanding opportunities for the entire Aptean customer community. 

Orrick served as legal counsel to Aptean. Telegraph Hill Advisors served as exclusive financial advisor to OpsVeda, and Eversheds Sutherland served as legal counsel. 

About OpsVeda 

OpsVeda is an enterprise software company focused on making operations more agile, resilient, and profitable through real-time operational intelligence and AI-driven automation. Its patented command center platform delivers predictive visibility and prescriptive actions across order fulfillment, supply, manufacturing, logistics, inventory, assets, and retail channels. OpsVeda serves customers in consumer-packaged goods, food and beverage, fashion, retail, industrial manufacturing, and high-tech industries. 
www.opsveda.com 

About Aptean 

Aptean is a global provider of purpose-built, industry-specific enterprise software that helps manufacturers and distributors run and grow their businesses. Aptean’s solutions span ERP, supply chain planning, execution, and industry-focused applications – delivered on cloud and on-premise platforms. Headquartered in Alpharetta, Georgia, Aptean operates worldwide across North America, Europe, and Asia-Pacific. 
www.aptean.com 

About Logility 

Logility, an Aptean company, is a market-leading provider of AI-first supply chain management software engineered to help organizations build sustainable digital supply chains that improve people’s lives and the world we live in. Logility’s fully integrated, AI-driven end-to-end platform helps clients know faster, turn uncertainty into opportunity, and transform their supply chains from a cost center to an engine for growth. Learn more at www.logility.com 

Steve Brown’s Vision for the Future of Intelligent Business

In a compelling keynote, futurist and AI strategist Steve Brown laid out a bold vision for the future of business in the age of intelligent agents. With experience at Intel and Google DeepMind, and as the author of The AI Ultimatum, Brown brings a unique perspective to the rapidly evolving landscape of artificial intelligence. His message was clear: AI agents are not just tools. They are the foundation of a new industrial age.

“AI is the most important thing that’s going to happen in about 500 years, maybe a thousand years in human society and it’s happening in our lifetime,” Brown quoted Eric Schmidt, former CEO of Google.

Brown’s presentation was a wake-up call for leaders across industries, including retail, manufacturing, banking, and supply chain management. He emphasized that regardless of sector, every organization is grappling with the same question:

What does AI mean for the future of our business and how do we use agents to amplify what we do?

5 Key Takeaways

We’ve gathered the 5 big takeaways from Steve’s presentation that will change your thinking and how to surf the AI wave.

1. We Are Entering a New Industrial Age

Brown likened the rise of AI agents to previous industrial revolutions, noting that the cost of general-purpose intelligence is rapidly approaching zero, just as electricity did in the early 20th century.

“We’re seeing that the cost of general-purpose, highly capable intelligence heading down towards zero. It won’t be free, but it’s getting to the point where you will use it extensively without really thinking about it,” said Brown.

This shift, he argued, marks the beginning of the Silicon Age, where intelligence becomes as ubiquitous and invisible as electricity.

2. Spatial and Reasoning AI Are Game-Changers

Brown emphasized the importance of spatial AI, AI that understands 3D space, time, and causality, and reasoning AI, which mimics human analytical thinking.

Brown expanded, “Spatial AI is a way for machines to understand the situation in front of them… It understands cause and effect, physics, and causality.”

These technologies enable agents to operate in real-world environments, powering autonomous vehicles, next-gen robotics, and context-aware assistants.

3. AI Agents Will Reshape the Workforce

Brown introduced the concept of AI agents as modular, autonomous software systems built around large language models. These agents are capable of perception, memory, planning, and action, making them digital coworkers.

Brown predicts, “Your next coworker might well be a machine. And I think that’s a very realistic possibility in 2026 and certainly by 2027.”

He categorized agents into three types:

  • Offload agents: Handle repetitive, low-value tasks.
  • Elevate agents: Enhance human performance and creativity.
  • Extend agents: Provide capabilities beyond human limits.

The Future of AI Agents: A Guide to Automating Success.

Don’t miss Steve’s full keynote at Dehyped, where he explains why every company and every person should understand this profound shift and what so-called ‘Agentic AI’ means for the future of work, productivity, and society.

Access now!

4. Businesses Must Prepare for Agentic Orchestration

Brown described how agents will work in swarms, orchestrating complex tasks across systems. He cited Walmart’s use of “super agents” like Sparky for customers and Marti for partners as examples of scalable agent ecosystems.

“You’re building this team, which is humans and machines working together, and you are optimizing the way that you deliver value and create value.”

He urged companies to adopt human-machine teaming, breaking down business processes into granular tasks and determining which are best handled by humans, agents, or robots.

5. AI Transformation Starts with Strategy and Data

Brown closed with five actionable steps for successful AI transformation:

  1. Start with business strategy: A strong AI strategy turbocharges the business strategy.
  2. Amplify, don’t just automate: The focus should be on on elevate and extend agents.
  3. Communicate: The value of AI with “What’s in it for me?” (WIIFM) and “What’s in it for us?” (WIIIFU)
  4. Include everyone: Have the team help create and learn to work with agents.
  5. Invest in clean, accessible data: Good AI runs on data.

“AI needs good data. Data is the rocket fuel for AIs—both to train them and then for agents so they can access that data to use it to do their jobs,” advised Brown.

Final Thoughts

Steve Brown’s presentation was more than a forecast—it was a call to action. For supply chain leaders, the implications are profound. AI agents can optimize inventory, streamline logistics, and enhance decision-making. But success will depend on strategic vision, data readiness, and a willingness to embrace change.

“There’s an express train of change coming all of our way. If you’ve done the hard work to put agents throughout your business, you’re turning the dial up to 11.”

At Logility, we’re committed to helping businesses navigate this transformation. Whether you’re exploring AI for the first time or scaling your existing capabilities, the time to act is now.

Company received a 100% Willingness to Recommend from their customers

Atlanta, GA – December 11, 2025 – Logility, an Aptean Company, and a leader in AI-first supply chain planning software, achieved an Overall Ranking of 4.9/5 stars and a 100% Willingness to Recommend in the 2025 Gartner Voice of the Customer for Supply Chain Planning Solutions report. We believe, this recognition highlights Logility’s product innovation, customer satisfaction, and service delivery strengths.

We conclude, Logility’s 100% Willingness to Recommend score reflects the high level of customer trust in the company’s solutions and services.

A President & CEO in the Services (non-Government) Industry gave the Logility Decision Intelligence Platform a 5/5 Rating in Gartner Peer Insights™ Supply Chain Planning Solutions Market. “The Logility Platform has transformed how we do business. With the quarterly updates and new functionality, we are able to provide the best solutions for our team members.” The same review further noted, “Want to understand AI for Planning, this is your only option.” Read the full review here: https://gtnr.io/XAzMhklBk

Other Logility customer reviews include:

“We believe, the Gartner Peer Insights Voice of the Customer recognition reflects the value our customers see in the Logility® Digital Intelligence Platform,” said Allan Dow, EVP/General Manager of Aptean Supply Chain. “We’ve built a solution that empowers organizations to make smarter, faster decisions with AI-first capabilities and are committed to innovating the next generation of supply chain technology. We’re proud to see that commitment embraced by our users.”

Logility continues to invest in AI-first technologies, beyond generative AI and predictive analytics, to emerging Agentic AI frameworks. Agentic AI introduces autonomous decision-making to enable supply chains to dynamically adapt to disruptions, negotiate trade-offs, and execute complex workflows. The Logility® Decision Intelligence Platform helps customers achieve true end-to-end supply chain visibility for greater agility, accuracy, and adaptability in today’s dynamic business environment.

We strongly believe Logility’s inclusion in the Gartner Voice of the Customer report underscores its commitment to delivering exceptional customer experiences and transformative supply chain outcomes. With over four decades of industry leadership, Logility continues to set new standards for operational efficiency and customer success.

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Gartner Disclaimer:

Gartner, Voice of the Customer for Supply Chain Planning Solutions, Satakshi Singh, 30 September 2025

Gartner and Peer Insights are trademarks of Gartner, Inc. and/or its affiliates. All rights reserved. Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences, and should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose.

About Logility

Logility, an Aptean company, is a market-leading provider of AI-first supply chain management software engineered to help organizations build sustainable digital supply chains that improve people’s lives and the world we live in. Logility’s fully integrated, AI-driven end-to-end platform helps clients know faster, turn uncertainty into opportunity, and transform supply chain from a cost center to an engine for growth. Learn more at www.logility.com.

About Aptean

Aptean is a global provider of industry-specific software that helps manufacturers and distributors effectively run and grow their businesses. Aptean’s solutions and services help businesses of all sizes to be Ready for What’s Next, Now®. Aptean is headquartered in Alpharetta, Georgia and has offices in North America, Europe and Asia-Pacific. To learn more about Aptean and the markets we serve, visit www.aptean.com.

Logility is a Registered Trademark of Logility, Inc. Aptean and Ready for What’s Next, Now are Registered Trademarks of Aptean, Inc. All other company and product names are trademarks of the respective companies with which they are associated.

Contact: press@logility.com