Case Study: Shoppermotion achieves real-time in-store shopper insights and a 9% sales increase with Cloudera Enterprise

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Preview of the Shoppermotion Case Study

Shoppermotion Reinventing In-store Analytics to Give Brickand- Mortar Retailers Meaningful Insight

Shoppermotion (formerly Proximus.io) helps brick-and-mortar retailers understand in-store shopper behavior by mapping customer paths and engagement in real time. The company set out to solve a long-standing retail problem: physical stores have been “black boxes” with limited visibility into how shoppers browse, where they stop, and which in-store actions drive purchases.

Using an IoT architecture built on Cloudera Enterprise, Shoppermotion attaches beacons to carts and baskets and uses ceiling Bluetooth sensors to stream location and dwell-time data into a high-performance analytics engine and customizable dashboards. Retailers gain real-time insights to optimize product placement, staffing, and promotions—resulting in measurable outcomes such as a reported 9% sales lift in a major category for one client and the ability to track in-store conversion rates and predict traffic peaks.


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Shoppermotion

Jorge García Bueno

Chief Executive Officer


Cloudera

293 Case Studies