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Enterprise Layer Intelligence
Categories/IoT & Connected Hardware/Zippedi
Zippedi

Zippedi

Founded 2017

Track retail shelf inventory and identify pricing errors using autonomous robots

Pricing model

Demo

You can use Zippedi to track inventory and maintain shelf accuracy across physical retail stores. The service deploys autonomous mobile robots that navigate aisles daily, taking high-resolution photos of every shelf. Computer vision models process these images to detect out-of-stock items, misplaced products, and pricing errors. Store associates receive prioritized task lists through the Bruno mobile app to correct discrepancies quickly. You can also export store audit data via API to connect with existing inventory management systems and improve replenishment planning.

What Zippedi does

Scan retail store aisles autonomously each morningFlag price tag discrepancies between shelves and cash registersSend restock alerts to store employees via mobile appMap product locations into a digital store modelExport shelf inventory records via REST APIAudit planogram compliance across product categoriesAutonomous mobile robots that navigate grocery and retail aislesHigh-resolution cameras capturing shelf images automaticallyComputer vision models that identify out-of-stock itemsAutomated price tag verification and mismatch detectionCompanion mobile application that generates prioritized tasks for workersDigital twin mapping of physical retail storesAPI data export for external inventory and ordering systems

Pricing breakdown

Pricing model: Book a demo

Frequently asked

Google, Nvidia, Toshiba, Ricoh

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Zippedi, Inventory Management, retail robotics, shelf monitoring, stock-out detection, price verification, digital twin, computer vision, retail automation, Bruno app, autonomous robots, shelf audit, store digitization, retail operations, out of stock tracking