A 2007 research study conducted by the University of Colorado states that retailers lose 4% of annual sales due to empty shelves and out of stock products. Remote access to real-time, shelf level data would enable stores to efficiently manage inventory to ensure optimized sales and business growth. Existing solutions either only quantize or identify products on a shelf. Our solution should effectively do both.