ShelfMind tracks retail shelves

ShelfMind is pitching software that turns retail shelf plans into live alerts and analytics for brands and merchandising teams, instead of spreadsheet-heavy reporting. (shelfmind.io) The company says users upload PSA planogram files — the standard export used by tools such as JDA, Blue Yonder, Relex, Apollo, and Shelf Logic — and get facings, share-of-shelf, adjacency, and compliance data back without coding. ShelfMind says it supports PSA versions 8.x, 9.x, and 10.x. (shelfmind.io) A planogram is the map for how products should appear on a shelf. ShelfMind says brands, category managers, business intelligence teams, and suppliers can use those files to compare the intended layout with store-level execution and spot gaps faster. (shelfmind.io) On its site, ShelfMind frames the problem as delayed shelf visibility: compliance reports that arrive weeks late, manual audits that consume thousands of labor hours, and planning tools that miss what is physically happening in stores. The company says its system surfaces prioritized fix lists and “real-time visibility” across store fleets. (shelfmind.io) That pitch lands in a market where consumer packaged goods brands still spend heavily to answer a simple question: is the product actually on the shelf right now. NielsenIQ has described store-level stock monitoring as essential for consumer packaged goods companies because inventory data alone does not show whether an item is physically available to shoppers. (nielseniq.com) The money at stake is large. IHL Group’s 2025 inventory distortion study said retailers globally were losing $1.73 trillion a year to out-of-stocks and overstocks, after putting the 2023 figure at $1.77 trillion, with out-of-stocks accounting for $1.2 trillion of that earlier total. (ihlservices.com) (blueyonder.com) ShelfMind is not the first company chasing that budget. Pensa, MC1, StayinFront, Arpalus, and Planorama have all sold tools that use images or analytics to track stockouts, planogram compliance, and shelf conditions for retailers and brands. (crunchbase.com 1) (crunchbase.com 2) (crunchbase.com 3) (crunchbase.com 4) (crunchbase.com 5) ShelfMind’s distinction is that it is leaning hard on the planogram file itself as the starting point. The company says it can ingest planogram archives, product masters, and store metadata, then export analytics tables to comma-separated values files, Excel, or a representational state transfer application programming interface on enterprise plans. (shelfmind.io 1) (shelfmind.io 2) The company is also selling security and enterprise readiness alongside the analytics. ShelfMind says it uses schema-per-tenant isolation, AES-256 encryption at rest, Transport Layer Security 1.3 in transit, Microsoft Azure infrastructure, and has Service Organization Control 2 Type II certification. (shelfmind.io) ShelfMind says it was built by retail operations engineers who were tired of juggling PSA files, spreadsheets, and manual compliance checks. Its bet is that shelf data becomes more useful when it arrives as an alert a field team can act on, not as another dashboard someone has to interpret later. (shelfmind.io)