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Fresh Demand Planning: How AI Empowers Retailers

Logistics Viewpoints

Given that we are in the age of AI/ML, I often think of how the small deli where I worked was a perfect training ground for applying AI/ML in fresh supply chain planning. There are various use cases of AI/ML for fresh demand planning of products, from producers to large grocery chains and even small delis in suburban Pennsylvania.

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Demand Planning Software – Top 3 Demand Forecasting Mistakes to Avoid

Logility

Top 3 Demand Forecasting Mistakes —How To Avoid Them with Demand planning software Demand forecasting is a critical facet of successful business operations, acting as the helm guiding companies through the rocks hiding beneath the water of market demands. What is Demand Forecasting?

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Demand Planning: Whipped And Chained by Tradition

Supply Chain Shaman

She wrote, “I have been working in the supply chain for 35 years, and we are still trying to solve the “demand” issue. Solving from a supply side seems to work for many companies I work with. Over the last two years, I actively engaged technologists and business leaders to redefine demand planning.

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How Does Demand Sensing Differ from Forecasting for Demand Planning?

Logility

The promise of demand sensing is that we can do a better job of anticipating and planning for short-term changes in demand. For today’s supply chain planner, the art and especially the science of forecasting demand have evolved. The promise of Demand Sensing is that we can do better.

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5 Perceptions on Demand Forecasting and How it's Changing

Speaker: Brian Dooley, Director SC Navigator, AIMMS

It’s no secret that demand is getting more difficult to predict. Is your demand forecasting process evolving with the times? Are you satisfied with your level of forecast accuracy? How accurate are typical demand forecasts? How are product portfolios changing and how does this impact demand forecasting?

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What Does Good Look Like S&OP?

Supply Chain Shaman

Let me start by saying that t he process is not a panacea to solve all supply chain ills. For most companies, building a great S&OP process is a missed opportunity. For me, there are ten characteristics that define a great S&OP process: Clear and Actionable. S&OP is a business process.

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Demand Forecasting Software: Demystifying AI

Logility

Demand forecasting plays a crucial role in business success, as it helps predict customer demand and plan inventory effectively. However, traditional forecasting methods often fall short in accuracy. With the advent of artificial intelligence, demand forecasting has undergone a significant transformation.”

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The 4 Keys to Demand Planning in 2023 and Beyond

Speaker: Eva Dawkins - Senior Consultant, Supply Chain

The last three years have been a rollercoaster ride for most supply chains, filled with volatile unpredictability and frequent disruptions. We know technology improvements can improve supply chain operations and add significant value for companies even in turbulent times.

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Next-Gen AI-Based Demand Planning: Turn Your Insights Into Accuracy in 1 Day

Artificial intelligence designed for demand planning brings the following benefits: Immediate forecast error reduction of 15-40%: this drives optimal service & stock levels. The planner gets insight into the drivers of demand: what is the impact of seasonality, price changes, or promotions?

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Overcoming the Accuracy vs Agility Trade-Off in Demand Planning & Forecasting

Agility and accuracy don’t necessarily need to be at logger heads. In-fact, anticipatory agility enabled by AI and Machine Learning can move the accuracy frontier forward in terms of validity and consistency driving significant business value.

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Automated Order Processing and Proactive Inventory Management

Speaker: Irina Rosca, Director of Supply Chain Operations, Helix

Organizations need to focus on demand driven supply planning, utilizing real time information on customer orders from all marketplaces (e-commence, Amazon - or other online retailers, and point of sale data from brick and mortar). etc) or online promotions (company run or 3rd party). April 3rd, 2019 11.00 AM PST, 2.00

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No More Hide & Seek for Supply Chain Uncertainty: How to Manage Variability

As unavoidable variability adds more complexity to your supply chain, this guide shares the effects of uncertainty on businesses and explores ways to alleviate uncertainty & increase manageability through greater forecast accuracy.

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Machine Learning: A Quantum Leap in Forecast Accuracy for the Modern Supply Chain

Whether you realize it or not, Machine Learning is having a profound impact on your everyday life.

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The 2023 Supply Chain Crystal Ball: Challenges and Solutions

Speaker: Olivia Montgomery, Associate Principal Supply Chain Analyst

The supply chain management techniques that dominated the last 30 years are no longer supporting consumer behavior or logistics and manufacturing capabilities. What should your plans for 2023 include? You'll learn more about: Trending supply chain tech investments to consider. Forecasting techniques to manage inventory.

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Key Questions for a Successful Distribution Network

Speaker: Irina Rosca, Director of Supply Chain Operations, Helix

As we plan for the world of eCommerce and the customer expectation of quick, free shipping, our ability to forecast is turned on its head. Can we use historical data to plan for demand and design our networks, or is there a better way? How to gain end-to-end visibility into any causes of delay in your global supply chain.