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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. Fortunately, with the advent of artificial intelligence (AI), demand forecasting software has undergone a significant transformation.

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Thoughts. Selecting Supply Chain Software

Supply Chain Shaman

In 2012, when I started Supply Chain Insights , I believed that I could revolutionize the purchase of supply chain planning solutions by initiating a rating and review process across trading partners. Business leaders see the open sharing of feedback on software as too risky. How can I improve the process of software selection?

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The Forecasting Accuracy Bugaboo

Logistics Viewpoints

Solvoyo’s Solution Bugaboo: something that causes fear or distress out of proportion to its importance. When it comes to running a company, when things break down executives have traditionally said “we need to improve our forecasting!” Would better forecasting accuracy be a good thing? Absolutely!

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Coupa Leverages Community Intelligence to Power AI

Logistics Viewpoints

Coupa is a supplier of spend management solutions. She knew the company was innovative; after all, Coupa created a new software enterprise category: business spend management. Coupa also has a supply chain collaboration solution that runs on the platform. This solution provides for purchase order collaboration.

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4 Steps to Skyrocket Your Demand Forecasting Accuracy

Logility

In the intricate world of supply chain management, the accuracy of demand forecasting often serves as the cornerstone of business growth. Yet, despite its significance, demand forecasting continues to be a thorny issue for many businesses, particularly manufacturers. What is Demand Forecasting Accuracy? Let’s get started!

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Demand Forecasting in the new normal

SYSPRO Smarter ERP

Manufactures are continuously faced with the challenge of forecasting how much (raw material) to purchase and how much (finished goods) to produce. To manage this delicate balance of demand and supply, manufacturers often use statistical forecasting techniques to predict future demand by looking at historical sales data.

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For Distributors, Mitigating Supply Uncertainty Begins with a Better Forecast

ToolsGroup

Accurate forecasting of uncertain demand. Probabilistic forecasting then produces a range of possible outcomes with probabilities assigned to all values within the range. Probabilistic forecasting then produces a range of possible outcomes with probabilities assigned to all values within the range. Right-sizing inventory.