Focal has developed the most accurate Deep Learning Computer Vision models in the retail industry, trained on over 2 billion labeled images captured from retailers around the globe from over 200,000 deployed cameras. First, these AI models scrub the images of all PII (Personally Identifiable Information) so no customer or employee image data is ever retained or tracked. Then, these AI models accurately detect ins, outs, lows, planogram non-compliance, restock events, and spoiled produce hourly. This data is fed downstream to all other applications to “drive the store” for you. If the AI detects an out-of-stock and inventory in the backroom, FocalOS adds the product to the picklist in Stocker Action Tool in order of Lost Sales. If no backstock, FocalOS orders more products. All restock events are tallied up per associate, so you can track productivity automatically.