In this How to video you will discover how AI Sales History in AGR can improve forecasting by using similar items to build meaningful sales history and demand patterns.
Takeaways
AI sales history can significantly improve forecast accuracy by analyzing similar items within specific locations and categories.
Enabling AI sales history is quick and provides immediate insights into demand patterns.
AI builds up to 25 months of sales data for capturing seasonal trends.
The AI model matches items based on location, item group 1 and 2, name, description, vendor, and sale price to generate similarity scores.
Forecasts can be tailored for new items using bulk update features and AI predictions.
Chapters
00:00 Introduction to AI Sales History and Its Benefits
01:08 Using the AI Sales History Feature in Inventory Management
02:08 Enabling AI Sales History and Viewing Forecasts
03:13 Understanding How the AI Model Matches Items for Forecasting
04:54 Applying AI Sales History to Improve Demand-Driven Ordering
05:29 Using Reports and Bulk Updates for New Items with AI Forecasts