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Repsly Adds Planogram Compliance to ShelfScan: Four Automated Metrics Score Shelves in Store, Announced November 12

Thursday, November 12, 2026 · Technology · GSM News

Repsly announced on November 12, 2026, in Boston, Massachusetts, in a BusinessWire release, the launch of Planogram Compliance, a new capability within ShelfScan, its image recognition solution. Built directly into Repsly's retail execution platform, the capability replaces manual audits with objective, data-driven compliance scores that empower in-visit corrective action and ensure trade spend accountability. The feature can create gold-standard planograms directly from real-world shelf photos that field teams already capture, or import existing planograms via Excel or API. It verifies stores with four automated live metrics, a Compliance Score, Presence Rate, Facing Accuracy and Unauthorized Rate, highlights exact shelf discrepancies on the spot with an automated checklist to fix layout errors and place new orders before leaving the aisle, and gives back-office teams dashboards to track compliance trends across accounts, stores, product categories and display types, plus export of real-world planogram and compliance data to category and trade planners. Chief executive Caitlin Will said technology is only as valuable as the action it drives on the store floor, and that the company views image recognition not as a data-collection exercise but as an engine for sales, accountability and smarter planning. Senior product manager Maja Kranjcec said field teams get an objective, actionable view of what is on the shelf versus what should be there while they are still in the store. Planogram Compliance is available today as an advanced capability within ShelfScan, offered as an add-on to the Repsly platform, whose customers include more than 650 field teams, including Kraft Heinz, Revlon and AB InBev, according to the company.

(Source: Repsly)

Source: Repsly

Published by GSM · USA (original Chinese edition)

Photo: 图:超市货架上陈列的牛奶商品。維基小霸王,CC BY-SA 4.0,经 Wikimedia Commons。 / Photo: 維基小霸王, CC BY-SA 4.0, via Wikimedia Commons.

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