Drive Retail Performance with AI and Computer Vision

Computer Vision & AI is a computer-vision platform that monitors shelves in real time to provide accurate, actionable inventory insights. Using connected shelf-edge cameras and AI, it identifies empty spaces, misplaced items, and low-stock situations. These insights trigger automated tasks for store teams, improving precision and speed in daily inventory management. Computer Vision & AI turns shelf data into operational decisions that directly support availability, replenishment, and merchandising execution.

Computer Vision & AI detects gaps the moment they appear and immediately alerts store associates. This ensures products are replenished at the right time, improving OSA and reducing lost sales. Retailers use Computer Vision & AI to prioritize tasks based on actual shelf conditions rather than manual scans. As a result, stores maintain stronger product presence across aisles and recover sales that would otherwise be lost when items are missing from the shelf.

Yes. Computer Vision & AI is designed to connect seamlessly with retail IT ecosystems. Data can integrate with POS, ERP, planogram management systems, and supply chain tools to enhance forecasting, replenishment, and store execution workflows. The platform supports standardized APIs, enabling retailers to unify shelf data with operational and supply chain intelligence.

Computer Vision & AI leverages image recognition models trained on millions of shelf and product data points. It consistently identifies gaps, low stock, and planogram deviations with a high level of precision across categories. Its accuracy improves over time through continuous machine learning, making Computer Vision & AI reliable in both high-volume grocery environments and specialty retail contexts.

Yes. Manual gap scans can consume hours each day across a store network. Computer Vision & AI automates this process, identifying gaps and assigning replenishment tasks automatically. Store teams focus only on the aisles and SKUs that require immediate action. This reduces labor time, simplifies scheduling, and frees associates to concentrate on higher-value duties that impact shopper experience.

Computer Vision & AI supports grocery, convenience, drugstores, specialty retail, and mass merchandise formats. Its camera and AI technology adapts to multiple shelf types, from ambient categories to fresh products packaged for shelf display. It scales across small convenience stores to large multi-format retailers with complex assortments.

Computer Vision & AI provides visibility into shelf movement and product availability, giving supply chain teams clearer signals about true demand. By detecting out-of-stocks early and improving replenishment accuracy, Computer Vision & AI reduces upstream uncertainty. Retailers use Computer Vision & AI’s data to refine demand forecasts, adjust order quantities, and optimize warehouse-to-store flows.

Yes. Computer Vision & AI links shelf data with sales and product movement information to estimate the revenue impact of out-of-stocks. Retailers gain a clear view of lost sales, the root causes of availability issues, and the financial benefits of improving OSA. This enables more informed decisions across merchandising, operations, and supply chain functions.

Computer Vision & AI automates the detection of shelf issues, the creation of restocking tasks, and the prioritization of actions for store associates. This reduces reliance on manual checks and accelerates response times. Computer Vision & AI effectively becomes an automated inventory monitoring layer that supports both in-aisle execution and overall store efficiency.

Computer Vision & AI captures images of shelves—never of customers—and processes them using secure cloud or on-premise infrastructure depending on retailer preference. Data is encrypted, access-controlled, and aligned with privacy standards. Retailers receive only operational insights relevant to inventory, not identifiable shopper information.

Deployment timelines depend on store size and the number of store formats involved. Computer Vision & AI is designed for rapid rollout, with hardware installation and software onboarding that scale efficiently. Retailers typically start with a pilot in a small group of stores before expanding network-wide once processes and KPIs are validated.

Yes. Computer Vision & AI’s real-time shelf data enhances omnichannel accuracy by ensuring that online and in-store stock levels reflect actual product availability. This reduces cancelled orders, improves Click & Collect readiness, and strengthens fulfilment reliability—especially in hybrid store environments.

Retailers track:
• On-shelf availability
• Inventory accuracy
• Time to replenish
• Lost sales due to out-of-stocks
• Planogram compliance
• Productivity gains in store operations
These KPIs help HQ teams and store managers monitor performance and guide continuous improvement across the network.

Retailers typically see benefits such as increased on-shelf availability, fewer lost sales, improved inventory accuracy, and reduced labor hours spent on manual checks. Computer Vision & AI also supports upstream supply chain efficiencies by providing reliable shelf-level data. ROI comes from recovered revenue, operational savings, and better alignment between demand signals and replenishment actions.

Computer Vision & AI can integrate with Vusion’s Category Optimization, Store Operational Excellence, and Local eCommerce solutions. Its shelf-level insights strengthen category decisions, support automated workflows, and enhance omnichannel accuracy. Combined with the Memory platform, Computer Vision & AI provides CPGs and retailers with a shared understanding of execution, assortment performance, and availability.