Reduce time spent restocking by automating scheduling, forecasting, and tasking

Reduce time spent restocking by automating scheduling, forecasting, and tasking targets a $3.0B = 1.5M retail locations globally × $2K ACV for store-level operations and stocking software total addressable market with medium saturation and a year-over-year growth rate of 8% YoY — retail operations software and automation spending is growing as labor costs rise and retailers invest in efficiency (sources: industry reports and analyst estimates).

Key trends driving demand: Labor pressure — rising wages and labor shortages push retailers to invest in technology that reduces in-store manual hours and increases throughput.; AI for short-term forecasting — improved ML models make reliable short-window demand forecasts feasible, creating opportunities for per-shelf optimization.; Mobile-first store operations — store associates increasingly use smartphones and handhelds, enabling rapid rollout of workflow and task apps.; Integration-first expectations — retailers prefer modular SaaS that integrates with POS/WMS, creating demand for lightweight connectors and APIs..