In-store size prediction for retailers using an iPad model

In-store size prediction for retailers using an iPad model targets a $1.2B = 12,000 multi-store apparel retailers (global target with >=5 stores) x $10,000 ACV. Assumptions: buyer is retail corporate (IT/omnichannel/operations), ACV includes app license, hardware subsidy, deployment and support. Uncertainty: retailer counts and ACV vary by region. total addressable market with low saturation and a year-over-year growth rate of 10% assumed for retail tech spend on fit and omnichannel tools, based on growing returns/omnichannel investment trends.

Key trends driving demand: Returns cost pressure -- retailers face rising return rates for apparel, creating urgency to invest in fit solutions that cut reverse logistics costs.; Improved on-device vision models -- advances in pose estimation and measurement from 2019-2025 enable quicker, lower-cost in-store body estimation without expensive rigs.; Shift to omnichannel personalization -- brands want unified fit data across online and offline channels to reduce size friction and improve recommendations.; In-store digital experience adoption -- retailers are piloting tablets and kiosks to improve conversion and reduce associate load, enabling an easy pilot entry point..