CB4’s software applies patented machine learning algorithms to your POS data to detect in-store operational issues affecting items with high local demand across your entire chain. Our web and mobile app alerts store managers to the issues within their stores, and gives guidance on how to quickly correct them.
Discovering Unmet Demand by Patterns
We start by analyzing simple POS data. No customer data is needed, only sales of products at stores. From this data, our solution uncovers consumer demand patterns that indicate high demand for SKUs. These patterns capture demand preferences on a very local level of SKU and store. Once the solution identifies high demand patterns for a particular SKU in a given store, and sees that the SKU is not meeting potential sales targets, an opportunity is uncovered.