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Demand Planning. When The Answer To Two Simple Questions Is Not So Simple.

Supply Chain Shaman

A large consumer products manufacturer with nine Enterprise Resource Planning (ERP) instances and several divisions wanted to discuss forecasting. The planning team was defending the status quo without questioning current practices and how to improve them.) What Is a Forecast Anyway? Let’s start with the basics.

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Don’t Forecast Demand, Model Your Demand

ToolsGroup

Demand modeling is different from demand forecasting. Simply put, it doesn’t forecast demand, it models demand. Forecasting typically starts with a time series of data—usually presented as a bar chart displaying demand by month or by week. Model demand from the bottom up.

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Demand Forecasting in Retail: Challenges, Solutions, and Future Trends

ThroughPut

Retailers are caught between the dilemma of empty store shelves and overstocked warehouses—a balancing act that demands constant attention. It’s evident that food retailers particularly must rise to the occasion, thinking strategically and reacting with agility to these ever-changing market conditions, both now and in the future.

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ChatGPT and the Revolution of AI-First Forecasting

Logility

In a world characterized by market volatility and unpredictability, businesses constantly navigate supply chain disruptions, erratic demand patterns, and unexpected risks. While traditional forecasting methods have served us well, they often fall short when addressing the evolving challenges of today’s dynamic business landscape.

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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 many distribution centers do we even need, and is that number feasible?

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Causal Forecasting Brings Precision to your Forecasting

Logility

Causal f orecasting shines a light on , and isolates, actual demand signals from market “chatter,” thus improving forecast quality. Causal f orecasting techniques can uncover complex patterns that are often missed, helping supply chain professionals focus on the truth and ignore market noise and irrelevant activity.

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Success Strategies for Demand Forecasting in Supply Chain

ToolsGroup

There’s been a lot of change in how we view supply chain demand forecasting: we moved from a focus on supply—what and how much to supply or replenish—to the demand-driven supply chain, which placed too much emphasis on the intermediate goal of an accurate demand forecast.