Assortment Analytics
The Importance of Assortment Analytics
Assortment analytics involves analyzing product assortments to optimize inventory and enhance customer satisfaction. This process helps retailers understand which products are most appealing to customers and how to arrange them effectively. By leveraging data analytics, businesses can make informed decisions about product offerings.
Key Benefits
- Product Selection: Analyzing sales data helps identify which products to keep in stock.
- Space Optimization: Understanding customer preferences allows for better product placement.
- Sales Forecasting: Predicting future sales trends helps in planning inventory levels.
Effective assortment analytics can lead to increased sales and improved customer experiences.
Authors
Dan LeBlanc
Dan LeBlanc, CEO and Co-Founder of Daasity, is a data analytics expert with a background in aerospace engineering and extensive experience in customer intelligence.
Elizabeth Cruz
Elizabeth Cruz, Senior Director of Merchant Strategy at Daasity, combines her public health policy background and MBA with extensive experience in e-commerce merchandising to empower consumer brands through data-driven decision-making.
