Footfall & Conversion Rate
Shopper footfall and conversion reports have become the most important metric in 21th century brick-and-mortar retail management tasks. Visitor counting numbers combined with sales figures reflect the most basic and beneficial KPI, namely conversion rate, in order to evaluate the performance of stores. Undoubtedly, the retail executives need to obtain accurate conversion rate reports in a low-cost manner.
RetailFlux people counting software offers both the lowest cost solution and the most sophisticated analytic technology in the market. RetailFlux people counting solutions are based on our property Artificial Intelligence (AI) technology, called FluxVision. Our FluxVision based counting solution provides best-in-class data quality with the lowest implementation cost possible thanks to its AI core. That is, regular CCTV cameras are transformed into the World’s most accurate and versatile counter devices with the help of our unique AI software platform. The exclusive features brought by RetailFlux people counters include staff exclusion, occupancy and shopping time metrics.


Enhancing the Benefits from Footfall
It is no-brainer that modern era retailers require footfall data obtained from door counting devices in order to assess their performance. Nearly all major retail management tasks such as marketing, staffing, pricing and daily operations can be better understood with the help of conversion rate metric. In RetailFlux people counting software platform, low cost CCTV cameras are utilized in the conjunction with the AI algorithms to come up with the most advantageous counting product in the market.
FluxVision: Genuine AI
FluxVision is the revolutionary AI based video content analysis technology developed by RetailFlux. FluxVision apps outperform both 2D and 3D stereo based video analytic products thanks to its AI based object recognition engine. FluxVision technology enables the users to not only detect movements but recognize the objects in the scene. FluxVision algorithms can recognize common objects such as humans, shopping carts and baby trolleys. Moreover, it can adaptively deal with ambient challenges such as illumination variation and high shadowing.

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