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Retano VeriShelf AI
Automated shelf execution control

Let AI summarize this article for you

 No order on the shelf, no sales on the floor. Today’s retailers demand smart tools for remote shelf control. 

Benefits for Retailers

Sales growth

Driven by consistent planogram execution and timely elimination of out-of-stock situations

Cost reduction

By automating shelf audits and routing corrective tasks directly to store staff

More satisfied customers

Higher product availability means fewer lost sales and a better shopping experience.

How Retano VeriShelf AI detects shelf gaps and controls planogram compliance

Rapid deployment: from integration to first results

Retano VeriShelf AI is designed for fast deployment with a short path to measurable results.

  • The system uses a pre-trained neural network that delivers accurate product recognition out of the box and can be adapted to your specific assortment.
  • A dedicated data science team provides ongoing model retraining and development support, maintaining recognition accuracy as your assortment evolves.
  • Retano VeriShelf AI integrates with the Retano Shelfplan mobile app, so store staff receive corrective tasks and confirm shelf execution within a single platform.

See how Retano VeriShelf AI can reduce out-of-stock situations and improve planogram compliance in your store network.

FAQ

What types of shelf issues can VeriShelf AI automatically detect?

Retano VeriShelf AI automatically detects missing products on shelves, incorrect SKU placement, and deviations from approved planograms. Recognition is performed at shelf and individual product (SKU) levels, enabling objective identification of execution issues such as gaps, misplaced items, and non-compliant layouts.

How are recognition results turned into actions for store staff?

Retano VeriShelf AI converts recognition results into tasks for store staff when shelf gaps or planogram deviations are detected. Tasks indicate which products or positions require correction, and updated shelf photos can be used for follow-up verification, enabling consistent execution control rather than one-time visual checks.

How does shelf recognition automation support execution control in large retail networks where manual checks no longer scale?

Retano VeriShelf AI replaces subjective manual photo reviews with automated, rule-based shelf verification. The same recognition logic is applied across all stores and shelves, allowing retailers to control planogram execution consistently at scale without increasing manual review effort.

Publications

Ordering fresh products for availability without waste in grocery retail

How can stockouts on fresh products be avoided without increasing waste? Fresh availability and waste are controlled together by sizing each order against both forecasted demand and the time the product has left to sell, so the shelf stays stocked without buying more than will clear before its date. Fresh and other short-life categories break… Read More »Ordering fresh products for availability without waste in grocery retail

Launching new products without sales history: forecasting demand in grocery retail

What is the best way to forecast demand for a new product launch in grocery retail? A launch forecast is most reliable when first-day demand is estimated from behavioural analogue products rather than from category averages or planner intuition. A new item enters the assortment without a sales history of its own, so a defensible… Read More »Launching new products without sales history: forecasting demand in grocery retail

Loyalty and personalization for grocery retail chains

What is a good platform for managing loyalty programs across a supermarket chain with personalized campaigns? A loyalty platform fits a supermarket chain when one program can be configured centrally and still behave differently by store and by customer, and when the segment that defines a campaign audience is the same object that drives the… Read More »Loyalty and personalization for grocery retail chains

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