SKU Assortment Optimization

The SKU Assortment Optimization solution offers Retail and CPG companies an innovative way to manage product assortments across their business, ensuring each outlet gets the best product assortment based on local customer needs and preferences.

Optimize your inventory and delight customers.

Increase sales for your organization by stocking the right products on every shelf, ensuring high market penetration for all top-performing SKUs, increasing the ease and frequency of the portfolio management process, and equipping your business leaders, analysts, and field operators with data-driven insights.

Identify the best products for each market.

Receive personalized product assortment recommendations for each outlet with our SKU Optimization models. Our solution can process SKUs and buyers by segmenting sales data into peer groups for fair and detailed comparisons that also account for factors like local preferences, demographics, and purchasing habits.

This solution will help you identify the best products for each market segment. You’ll be able to compare similar segment portfolios, distribute SKUs to the locations they’ll perform best, and optimize operations by cutting cannibal products.

Identify top and bottom performing SKUs across your sales channels to increase market penetration and replace underperforming SKUs with your “diamonds in the rough” products needing wider distribution. This detailed level offers deeper insights so that you can dynamically tailor your inventory and keep up with customer demands.

Customized and integrated solution.

Our solutions can be customized to fit your unique business needs – optimizing the metrics important to your business (i.e., sales volume, product margin, returns/wastage, etc.).

SKU Optimization can also be integrated with additional data sources to provide demand forecasting, sales decomposition.

SKU Optimization requires a historical transaction-level sales data, a product description table (product names family/group, brand, package size, etc.), and a customer description table (customer name, location, trade channel, etc.).