RetailNext is a well-established in-store analytics platform. Its Aurora sensor, designed and manufactured by RetailNext, uses AI-powered computer vision and stereo analytics to count people with a stated 95 to 99% accuracy and to measure paths, dwell and engagement. The platform combines Traffic Analytics, Insights and Asset Protection, and RetailNext says it is trusted by more than 600 retailers in over 100 countries.
Shoppermotion takes a different route. Small Bluetooth tags on trolleys and baskets are located by Angle of Arrival antennas on the ceiling with sub-metre precision, with no cameras and no personal data. At the checkout, each anonymous trip is paired with its own receipt through ticket matching, so every stop in the path has an outcome.
Both approaches have their place. If you need entrance counts, staffing forecasts and loss prevention in one platform, RetailNext covers that ground. If you run grocery stores or an in-store Retail Media Network and need path-to-purchase data per trip, offline attribution is where Shoppermotion is built to help.
Looking for a RetailNext alternative? When Shoppermotion fits
If you are looking for a RetailNext alternative for grocery stores, Shoppermotion is built for that case. RetailNext measures people with a ceiling-mounted computer vision sensor. Shoppermotion follows every tagged trolley and basket from the entrance to the till, using Bluetooth tags and Angle of Arrival antennas, with no cameras and no personal data, and matches each trip with its own receipt. It fits if you run supermarkets or hypermarkets, need conversion at bay and SKU level, or sell in-store media to brands and need impressions, views and sales lift per placement. It is not the right alternative if your main need is entrance counts, staffing forecasts and loss prevention across a specialty or apparel network, or if most of your shoppers do not use a trolley or basket. The comparison below sets both side by side, with sources. See how in-store analytics works for supermarkets.