Data-Driven Assortment
Using sales data, demand forecasting, and customer analytics to optimize which products a retailer stocks and displays.
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Why It Matters
AI demand forecasting models recommend optimal assortments, but merchandisers who can blend data insights with local market knowledge and brand strategy make better inventory decisions.
How to Get Started
Learn retail analytics in Excel or Python, study category management frameworks from the Category Management Association, and practice assortment planning with sample POS data.
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