Zippedi

Zippedi delivers an end-to-end retail intelligence system built around autonomous in-store robots and a cloud-based computer vision platform. Its mobile robots navigate live retail environments—grocery, home improvement, and mass retail—scanning shelves label by label and capturing more than one million high-resolution images per day. These images are processed through Zippedi’s AI stack to create a continuously updated digital twin of each store, enabling real-time detection of out-of-stocks, planogram non-compliance, pricing and label errors, backroom inventory issues, and in-store pickup inefficiencies. The software layer converts shelf data into prioritized, actionable tasks delivered through Zippedi’s Bruno mobile app, guiding store associates to exact shelf locations for restocking, relabeling, auditing, and order picking.

The company operates a robotics-as-a-service (RaaS), OPEX-led business model rather than selling robots as one-time CapEx equipment. Retailers subscribe to a bundled service that includes robot access, cloud AI, continuous algorithm updates, analytics dashboards, and operational support. A defining element of Zippedi’s model is its proprietary consortium structure, which spreads costs across retailers, CPG brands, and distribution or last-mile partners who all benefit from shared shelf-level data. This enables recurring revenue through subscriptions and data monetization while lowering per-participant costs and supporting rapid, phased rollouts across store networks.