Computer vision boosts retail productivity, cuts losses

A Coresight Research study, produced with Simbe and RELEX Solutions, finds computer vision shelf-tracking is lifting retail productivity by automating shelf monitoring and reducing in-store execution failures. The report estimates inefficiencies consume 6.4% of gross sales and could cost retailers $196.4 billion in 2026, a 21% increase from 2025.

The study measures costs from out-of-stocks, mispricing and planogram errors. Nine in ten retailers report active difficulties managing store floors, and 89% report margin erosion exceeding five percent. The estimated loss in hardware, mass merchandise and grocery categories exceeds the sector’s projected 3% sales growth for 2026.

Full-scale deployments of store intelligence platforms now run across 60% of enterprise footprints, an 18-percentage-point increase year-over-year. Experimental pilots account for 18% of activity. Deployment maturity favors large retailers: 73% of companies with more than $5 billion in annual revenue have fully scaled systems, compared with 42% of operators under $1 billion.

Retailers are investing in out-of-stock tracking, automated pricing, planogram verification and assortment planning. The report finds 43% of technology leaders are directing capital to pricing optimisation software, while only 33% are investing in shelf digitisation hardware such as cameras and sensors.

The report states prioritising software before installing sensor infrastructure produces downstream data failures. Mispricing rates are projected at 13% in 2026, up four percentage points since 2024. Inventory availability remains a top concern: 52% of operators rank out-of-stocks as highly demanding, and 40% are directing capital toward three or more operational inefficiencies at once.

BJ’s Wholesale Club deployed Simbe robotic platforms to monitor inventory and pricing and used the data to build digital twins of individual warehouse clubs. BJ’s applied those models to route planning for online orders and curbside fulfilment and recorded a 40% year-over-year improvement in picking efficiency. Bob Eddy, CEO of BJ’s Wholesale Club, reported the technology helped raise quality standards in fresh categories.

Albertsons plans to target $1.5 billion in productivity gains over three fiscal years by applying AI to pricing, promotions and assortment. Susan Morris, CEO of Albertsons, stated the company will equip merchants with AI-driven insights and automated execution to optimise pricing, promotions and assortment decisions.

Lowe’s Perpetual Productivity Improvement initiative combined workforce management tools and inventory solutions to eliminate redundant associate work, saving 80 non-productive labour hours per store each week. The company distributed performance bonuses, including $5,000 to associate store managers and varied payouts for hourly staff. The report finds intelligence applications typically reduce time spent on manual store tasks by 14% on average, and 86% of organisations report decreases in manual assignment hours.

When retailers establish real-time, shelf-level visibility before deploying pricing automation and forecasting tools, the study documents improvements in customer metrics. Companies that implement physical automation frameworks show an 11% lift in customer lifetime value, conversion improvements for 50% of operators, increased loyalty enrolment for 48%, and better online review metrics for 47%.

The study concludes store intelligence functions as an interconnected ecosystem and warns that fragmented deployments without verified shelf data can produce inaccurate outputs from pricing and forecasting models. The report notes adoption rates differ sharply between top-tier and mid-market retailers.