Description
Smart Fitting Rooms offer great potential to enhance customer shopping experience in retail fashion stores. To this end, they leverage auto-id technology to detect product selections of customers and offer additional services based on these selections on screens within the Smart Fitting Room cabins (e.g., product recommendations or Omnichannel services). While current implementations mainly rely on hardware-based approaches to reliably detect customer’s product selection, we investigate the applicability of software-based approaches to distinguish between products in individual cabins. In addition, we show that software-based approaches can be used to sort products in fitting rooms by relevance to the customer which is a valuable information for providing additional services.
Empowering Smarter Fitting Rooms with RFID Data Analytics
Smart Fitting Rooms offer great potential to enhance customer shopping experience in retail fashion stores. To this end, they leverage auto-id technology to detect product selections of customers and offer additional services based on these selections on screens within the Smart Fitting Room cabins (e.g., product recommendations or Omnichannel services). While current implementations mainly rely on hardware-based approaches to reliably detect customer’s product selection, we investigate the applicability of software-based approaches to distinguish between products in individual cabins. In addition, we show that software-based approaches can be used to sort products in fitting rooms by relevance to the customer which is a valuable information for providing additional services.