Case Study: PhooDi creates a smarter grocery shopping experience with Catchoom Image Recognition

PhooDi Grocery Scanner App Turns You Into A Smart Shopper - Customer Case StudyW

PhooDi, a concept mobile app developed by students at BarcelonaTech, wanted to create a versatile grocery scanner to help shoppers instantly access product information and rewards. The challenge was to move beyond barcodes and QR codes to allow users to identify items simply by pointing a phone at a product's packaging, requiring highly accurate and robust image recognition technology. They partnered with vendor Catchoom to utilize its CraftAR Image Recognition technology.

Catchoom implemented its image recognition solution, which instantly matches a scanned product against a large database of reference images. The technology is highly accurate, even recognizing three-dimensional, crumpled, or poorly lit items, and it includes on-device capabilities for use without an internet connection. The result is the PhooDi app, which provides users with seamless access to nutritional data, discounts, and shopping lists, demonstrating an accessible and engaging application of image recognition for the food retail industry.

PhooDi