Shelf automation boosts retail productivity

Retailers are deploying computer vision and shelf sensors to automate stock tracking and pricing and reduce in-store execution failures. A Coresight Research study, produced with Simbe and RELEX Solutions, estimates operational shortfalls will cost the hardware, mass merchandise and grocery categories $196.4 billion in 2026. The study finds inefficiencies consume about 6.4% of gross sales and that the monetary value of these losses rose 21% year over year while projected industry sales growth is 3%.

Nine in ten retailers report active difficulties managing shop floors. The study identifies empty shelves and inaccurate pricing as major drivers of margin pressure, and it finds 89% of operators experience margin erosion exceeding 5%. Mispricing rates are forecast to reach 13% in 2026, up four percentage points since 2024.

Adoption of store intelligence platforms has accelerated. Full-scale deployments now operate across 60% of enterprise footprints, up 18 percentage points year over year, while 18% of activity remains at the pilot stage. Deployment is concentrated among the largest operators: 73% of retailers with more than $5 billion in annual revenue report fully scaled systems, compared with 42% of companies with under $1 billion. The study also reports that treating physical stores as separate from digital channels reduces customer lifetime value.

Retailers are directing capital at out-of-stock tracking, automated pricing, planogram verification and assortment planning. The study finds many companies are missequencing investments: 43% of technology leaders prioritise pricing optimisation software, 36% invest in supplier collaboration platforms and only 33% invest in shelf-digitisation hardware such as cameras and sensors. Analysts recommend installing shelf-level sensors and cameras first, then analytics and inventory tracking, and finally pricing automation to avoid feeding downstream systems with outdated counts.

BJ’s Wholesale Club deployed Simbe robotics to monitor inventory and price accuracy and built digital twins of its clubs to create real-time visibility. Management used those models for route planning for online orders and curbside fulfilment and recorded a 40% year-over-year improvement in picking efficiency; BJ’s chief executive Bob Eddy reported the technology helped raise quality standards in fresh categories. Albertsons plans to capture $1.5 billion in productivity gains over three fiscal years, according to CEO Susan Morris. Lowe’s reported savings of 80 non-productive labour hours per store each week after deploying workforce management and inventory tools and provided financial bonuses tied to documented productivity gains.

The study finds store intelligence applications produce an average 14% reduction in time spent on manual in-store tasks, and 86% of organisations report declines in manual assignment hours. Larger operators report greater time savings: 56% of firms with revenues above $5 billion versus 36% of mid-market companies. The study also finds customer lifetime value rises about 11% for properly deployed systems, conversion rates improve for roughly half of operators, loyalty enrolment increases for nearly half, and online review scores rise for about 47% of respondents.

Analysts and operations leaders recommend treating store intelligence as an interconnected system rather than separate point solutions. The study frames verified, shelf-level visibility as a prerequisite to scaling pricing automation, supplier collaboration and forecasting tools and notes that downstream software can produce inaccurate recommendations if it relies on outdated physical inventory counts.