When we came up with the idea for Reflector, we immediately became extremely excited as we realized it would extend the benefits of web-style conversion funnels and analytics into the physical world for retail stores.
Complete Features:
- front facing camera converts devices into mirrors
- automatic recognition of a retailer's products in mirror (Ocutag)
product metadata displays on screen (name, price, etc.) (Macy's, Best Buy)
Omron integration tracks demographic info about persons in front of mirror (gender, age, expressions)
demographic data is piped into Google Analytics
snapshots of users in mirror are saved for realtime or after-the-fact analytics (Firebase, partially complete)
Incomplete Features:
- demographic data around store entry and purchase conversions
- demographic data around store displays and interest/reactions
- add to cart option tracks items throughout the store
- active recommendations displayed on screen around what people of similar demographics purchased with this item
- a woman purchasing a purse may be recommended matching shoes that another woman in her age range purchased while a man purchasing the purse may be recommended jewelry or a pocket book that another man in his age range purchased to help complete that birthday/valentines day gift
- call for assistance button
- selfie option and social sharing
Log in or sign up for Devpost to join the conversation.