Smart.Mirror
A clothing suggestion system for retail stores.

Customers face many issues when shopping—lack of time, lack of interest, uncertainty about style, and inability to find matched sets of clothes. Smart.Mirror gives customers a fun and convenient personalized option to make their shopping experience more valuable.

 Smart.Mirror enables retailers to provide and maintain quality service, without the additional expense of increasing staff. Smart.Mirror will increase overall store revenue by increasing the total number of items a customer purchases per visit, a measure used to evaluate store performance.

Smart.Mirror utilizes RFID technology (RFID chips on clothing tags, stationary and hand-held RFID readers , and a touch-screen LCD panel for suggestion displays) to create personalized recommendations for store customers. Recommendations will include similar and complementary products to such items as shirts, sweaters, and trousers. In addition to recommendations, Smart.Mirror aims to integrate an RFID inventory management system, so that retail clothing stores may benefit from an all-in-one inventory suggestion system.

Smart.Mirror Team:

• Vincent Sethiwan
  Masters of Information Systems Management, Heinz College, Carnegie Mellon University
• Kevin Chia
  Masters of Information Systems Management, Heinz College, Carnegie Mellon University
• Jonathan Ma
  Masters of Information Systems Management, Heinz College, Carnegie Mellon University
• Philip Croul
  Masters of Information Systems Management, Heinz College, Carnegie Mellon University
• Carolyn Fu
  Masters of Information Systems Management, Heinz College, Carnegie Mellon University

SocialGood