Unexpected events – pandemics, weather conditions, recessions and more – are inevitable. How can you best protect your organization from supply chain disruptions? Advanced Analytics can help you weather the storm by optimizing your supply chain now and in the future.
This on-demand webcast highlights how a supply chain digital twin powered by artificial intelligence (AI) can quickly analyze the impact of potential changes to accelerate the speed and precision required to make informed decisions. The webcast also highlights real-world examples of leading companies that use advanced analytics to turn vast amounts of data into actionable insights to improve service levels, margins and speed to market.
Listen and learn how to use Advanced Analytics to:
- Create a strong analytics foundation for modeling the unexpected, including using a digital twin to consider the impact of changes on business goals and customer service levels before you act
- Make the best decisions quickly when the worst-case scenario happens, including quickly anticipates spikes or drops in demand using machine learning (ML) and artificial intelligence (AI) including robust demand sensing
- Hear real-world examples of how companies are doing these things now
Supply chain transformation involves improving an organization’s abilities to make decisions about which products to keep in stock, where to keep them, when to replenish them, how to improve
service levels for customers, how to liquidate excess stock in the most profitable way and how to quickly respond to changes in customer demand. Supply chain planning transformation can enable real-time tracking and analysis of customer and product data, decision-making based on predictive and prescriptive models, and the use of new capabilities enabled by artificial intelligence, machine learning, social media and the Internet of things. It can also automate daily operational decisions to free up talent to work on higher value activities.
Supply chain planning is complex and a transformation initiative requires getting off to a good start with the support of senior management and a business case that outlines the benefits as well as the impact to the organization. This is a multi-dimensional journey that must ask the four following questions:
- What new process capabilities do you want your future supply chain planning platform to enable?
- What new data sources do you plan to utilize with your future supply chain planning platform?
- What new solution capabilities do you want to adopt to enable your transformed planning process?
- What new people skills will be needed to analyze data, operate new processes and use new solution capabilities?
Agile, data driven, speedy and highly automated supply chain planning operations are becoming increasingly critical in today’s fast-paced, global business world. This e-book provides practical steps and a best practice roadmap to guide you on your transformative journey.
In today’s supply chain business environment, improving insights to critical advanced analytics metrics via data visualization has become a critical element responsible for driving performance for any company.
Improving your organization’s ability to consume data in an intuitive, conventional manner to facilitate understanding can be the difference from taking action at the right time and avoiding potential disruptions due to lack of visibility.
It is becoming increasingly important to automate as much as possible, augment the human team with more insights and more data while incorporating visualization aspects that accelerate the decision making process.
This is done by tapping into new data sources, leveraging artificial intelligence, and machine learning. Then organizing that data and identifying new patterns that a human could not identify in a reasonable amount of time without AI. These insights are gathered from rich data, providing stronger information than from traditional data sets.
A strong visualization of insightful data is important to a business’s success with AI and advanced analytics. Visualizations create an engaging user experience that presents information in a highly intuitive way. Currently, there is a transition in the talent pool, and it is important to keep up with the digital natives entering the workforce and their expectations. How they navigate data and scenarios is different from someone who has been in that role for 20 years and grew up with data presented in a different way. Visualization of data and serving information in a more intuitive way is key.
By automating decisions where we can, and providing the needed analysis to determine the best approach, given what we know, we are able to free up the personnel to implement the work and think about the business more creatively.
Capturing big data for insightful, advanced analytics can be a hefty task, but is equally as important as the presentation of that data. The strong visualization of meaningful data is crucial to a business’s success with artificial intelligence and analytics. It creates an engaging user experience that presents information in a highly intuitive way. This paper explains the importance of visualization of data and what critical metrics can be improved with data visualization.
Supply chain disruptions happen – whether it’s the current COVID-19 situation, or future activities including other pandemics, unforeseen events or weather conditions such as hurricanes and tornadoes.
As a supply chain professional, you are in the power position of being able to learn from this experience and take actions now that can help your company be better prepared to face future supply chain disruptions, regardless of what shape they take.
So, will you be ready?
- Do you have a plan for adopting advanced analytics, artificial intelligence and machine learning in your supply chain operations?
- Do you have the ability to run multiple ‘what-if’ scenarios to analyze how your supply chain will be affected by different types of disruptions?
- Can you quickly sense a supply chain disruption, analyze options to mitigate it and execute the best response?
Logility can help. Our Artificial Intelligence (AI)-based digital supply chain platform can help with these things and more. For example, it leverages machine learning forecasts in scenario planning dashboards to let you easily see what’s going on and make the best decisions for your business. When supply chain disruptions happen, you can analyze and compare activities using a digital twin (a virtual mirror of your physical supply chain operations that lets you run multiple, what-if scenarios before you activate any changes) and make any adjustments in real time.
Explore this ebook, A Digital Transformation Guide for Supply Chain Disruptions, for eight tips to consider now to better plan and prepare for the future.
Plan for a resilient enterprise with Logility’s AI-based platform
This quick video shows how to plan for the resilient enterprise with Logility’s artificial intelligence (AI)- based supply chain planning platform and take back control during supply chain disruptions like the ones we are experiencing now with the COVID-19 pandemic, as well as future ones that could come from other pandemics, hazardous weather conditions, or some other unforeseen event.
Logility’s AI-based platform lets you evaluate machine learning forecasts using our scenario planner dashboard. As supply chain disruptions occur, simply compare and analyze actions in a digital twin (a virtual mirror of your physical supply chain operations that lets you run multiple, what-if scenarios before you pull the trigger on any changes) and adjust scenarios in real time to intelligently navigate the situation.
The Logility digital supply chain platform enables continuous planning that forms the foundation of a resilient enterprise. It lets you proactively optimize, sense and respond to actions across your business and proactively meet supply chain disruptions head on, and also supports the never-ending tactical, operational and strategic planning simulations that businesses should always be performing.
Consider Other Ways to Build a Resilient Enterprise
As a supply chain professional, you face a unique opportunity to take proactive action now and build a resilient enterprise for the future. Here are six things to keep in mind to take back control of your supply chain and start the journey to a resilient enterprise – the two go hand-in-hand:
- ERP alone is not the answer
- Deploy an Artificial Intelligence (AI) platform now
- Make Continuous Planning a priority
- Create a Digital Twin
- Revisit data aggregation
- Create a culture of resiliency
If your current planning platform doesn’t address all of these six things and more, or to learn more about these six areas, contact Logility.
Founded in 1955, Aaron’s is a leader in the lease ownership of name brand furniture, consumer electronics and home appliances through its 1,600+ company-operated and franchised stores in 47 states and Canada.
As Aaron’s grew over the years and the business became more complex, the company needed to manage and access increasing quantities of data. Before implementing Logility* advanced analytics solutions it had become very difficult to make important business decisions quickly and accurately.
Based on its size and growth plans, the company needed an analytics platform to serve as both a data warehouse and a visual discovery solution. Because advanced analytics from Logility easily scales to the growing complexities of Aaron’s supply chain and ensures that operational visibility is accessible to key stakeholders every day it was a perfect fit.
Watch this quick video and learn how Aaron’s achieved complete visibility across its supply chain, supporting its strategic growth plans, thanks to Logility.
*Halo Business Intelligence is now Logility
Supply chains are moving faster and faster and the complexity of data needed to manage them is growing exponentially. To quickly turn tremendous volumes of data into actionable insight, an increasing number of organizations are now turning to innovative digital supply chain planning platforms that are powered by artificial intelligence (AI) and machine learning (ML).
On its own, supply chain planning (SCP) provides the critical set of business processes that companies rely on for optimizing the delivery of goods, services, and information to their customers. Focused on balancing supply with demand, SCP manages real-time demand commitments, “what-if” scenario analysis, inventory optimization, and sales and operations planning (S&OP), among other functions, according to Gartner.
With increased speed in the supply chain, skilled labor is more difficult to find and retain, and customers are harder to please. Add in trade wars, economic uncertainty, and the risk of supply disruption to the equation, and you wind up with a perfect storm of supply chain challenges that—when combined with other hurdles—require the right mix of software and advanced technology to solve.
When companies incorporate artificial intelligence and machine learning into their supply chain planning activities, everyone wins. Layering advanced technologies like AI and ML into supply chain planning creates new capabilities and propels companies that want to stay ahead of the rapidly changing business landscape. Innovative digital supply chain platforms that are powered by AI and ML, combined with SCP can uncover hidden opportunities, identify potential risks and accelerate decision making – from product concept to customer availability, and all points in between.
In this Making the Case guide, we explore the opportunities that these advanced technologies offer and show how you can get the most out of the potential they offer. AI and machine learning are powerful tools that will continue to propel the supply chain, and in partnership with valuable supply chain practitioners.
Supply chain organizations are still at the early stages of making the most of advances in digital supply chain technology, including the use of a digital twin. In many ways, you could argue the industry is mostly using the astonishing capabilities of computing and internet connectivity to do what they did before – just faster and cheaper. With a more connected world, there is an increased amount of supply chain data available. This increase in data is incredible but also can be daunting. That’s why smart companies focus not just on gathering data, and figuring out how to filter and analyze it, but how to use it to make better, faster, more informed decisions with a digital twin. Since data management is not usually the core business of companies engaged in manufacturing and/or selling goods, most need to rely on a trusted technology partner (such as Logility) to help them make the most of this brave new world.
Artificial intelligence and machine learning can handle more parameters than most are aware. Typically, there’s more than one “right” answer, and the software helps get the best answer for the current strategy. With this artificial intelligence, companies can then employ a digital twin that will assist in analyzing different scenarios. With these scenarios available, companies can explore the impact of changes with little effort and no cost.
Accurate, up-to-date data is vital to achieving these advanced insights. This affects how long it takes to identify something that happened in the supply chain that needs to be addressed – or something that is likely to happen. With readily available insights companies can then use AI, machine learning and advanced analytics to solve problems.
With this increase of information and artificial intelligence, a refined plan is no longer a nice-to-have, but a necessity. Companies are no longer limited to monthly, weekly or daily reports, they can refine their strategy through the entire process, up until the product is headed to the customer.
New Digital Supply Chain Video
The supply chain systems of the past are not enough in today’s fast paced world, and your company needs a digital supply chain platform that supports the speed of business – fast, efficient and transparent.
A single, end-to-end digital supply chain platform is vital for businesses today to thrive and survive. It can help manufacturers, suppliers, retailers and distributors make smarter decisions faster.
How do these platforms work? They start by using digitalization to take advantage of your investments in foundational and advanced supply chain planning and optimization capabilities to help you make better decisions faster. With this in place, you can change your business model to generate new revenue, increase efficiencies and offer greater business confidence.
Digital models reflect the physical network allowing you to leverage Artificial Intelligence, Machine Learning, Collaboration and business scenario analysis to boost customer service, accelerate your time to market and replace inventory with information. Through digital supply chain capabilities your business can help increase revenue, lower costs, reduce risk and boost service as you make better decisions, faster. A digital supply chain enables process augmentation and automation freeing up resources to focus on other value added activities. A digital supply chain also improves your ability to seamlessly collaborate with customers and partners. Digitizing your supply chain allows you to build a “Digital Twin” or an electronic representation of your supply chain increasing visibility and enabling the foundation for advanced analytics including simulations and multiple “what-if” scenarios.
The digital supply chain is the next step in the evolution of modern supply chain management and Logility can provide the visibility and rapid data discovery needed for continuous end-to-end supply chain planning. Watch this quick video to learn more.
This In The Know video from SupplyChainBrain highlights the perspective of several senior-level supply chain executives about demand forecasting methods they follow to support their respective digital supply chain initiatives.
In the area of forecast accuracy, there are many opportunities to drive improvements. Better forecasts are achieved from better demand signals through better data, artificial intelligence and machine learning, as well as the efficiencies gained by sharing a unified, digital supply chain platform across the organization.
One opportunity is with demand sensing. Smart companies are using demand sensing to import short-term demand data such as Point of Sale (POS) scan-based data, point of use device data, weather data, or social media data, on an hourly/daily basis to immediately sense demand signal changes. Through advanced algorithms the statistical significance of demand changes are evaluated and short term forecast adjustments made to drive short term supply chain responses.
The video includes perspectives from:
- Elaine Videau, Senior Planning Manager, Tillamook
- Chad Steighner, Chief Information Officer, Clarios
- Glenn Pascrell, Senior Vice President, Planning & Market Analytics, Citizen Watch America
- Pravin Rangachari, Senior Vice President, Haggar Clothing Co.
- Corey Graven, Vice President Supply Chain North America, Clarios
- Katie Morrison, Senior Director of Planning and Allocation, Finish Line