Case Study: The Paper Store achieves high in-stock rates and automated replenishment with Retalon Predictive Analytics

The Paper Store - Customer Case Study

The Paper Store is a rapidly growing gifts and fashion retailer with a very broad, highly seasonal assortment and a strong e-commerce presence. As growth, promotions, and web competition increased, manually reviewing purchases and replenishment for every store/SKU became untenable, so The Paper Store engaged Retalon to apply predictive analytics across its merchandising operations.

Retalon deployed its unified predictive analytics platform—including Purchasing, Replenishment, and Promotions—to generate accurate demand forecasts for seasonal, new, and sporadic items, automate most replenishment decisions, and flag only a small number of exceptions for manual review. As a result, Retalon helped The Paper Store maintain a high in-stock percentage even on hot items during seasonal peaks, run more successful promotions, and substantially reduce the manual workload.

The Paper Store