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Eyrene

AI-powered mobile image recognition technology to improve on-shelf presence.

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Description

Eyrene offers a comprehensive digital merchandising solution centered around its advanced AI-powered mobile image recognition technology. Designed for retail environments, the platform enables field staff using standard Android or iOS devices to capture shelf images, which are then processed in real-time, even offline. The system accurately identifies products, price tags, promotions, and POS materials, significantly reducing the time and errors associated with manual shelf and price audits. This core recognition capability feeds into a powerful analytics engine, providing immediate, actionable data.

Beyond image recognition, the Eyrene platform includes a KPI engine supporting standard retail metrics like Share of Shelf (SOS), On-Shelf Availability (OSA), and planogram compliance, with options for customization. Data visibility and management are handled through an enterprise web portal and integrated BI dashboards powered by Microsoft PowerBI Embedded. Eyrene emphasizes seamless integration with existing IT systems via robust APIs and offers professional services for tailoring the solution, alongside dedicated technical support, aiming to deliver substantial ROI through increased efficiency and sales uplift.

Key Features

  • Mobile Image Recognition: Real-time, offline recognition of products, prices, promos on Android/iOS.
  • KPI Engine: Calculates key retail KPIs (SOS, OSA, OOS, Planogram Compliance) with customization options.
  • Web Portal: Enterprise platform for data visibility, task management, and system control.
  • BI Dashboards: Embedded PowerBI for standard and custom retail data visualization.
  • Integrations and API: Rich options for connecting with existing IT systems (REST, SQL, ESB, etc.).
  • Supervisor Mobile App: Real-time monitoring and task management for team leaders.
  • High Accuracy & Speed: >95% SKU and >98% price accuracy; 1-2 sec recognition time.
  • Scalability & Reliability: Proven high throughput (25M images/month) and uptime (99.95%).

Use Cases

  • Automating retail shelf audits
  • Conducting mobile price checks
  • Monitoring planogram compliance in real-time
  • Tracking Share of Shelf (SOS) and On-Shelf Availability (OSA)
  • Improving field force efficiency and reducing audit time
  • Optimizing product placement and visibility
  • Reducing out-of-stock situations
  • Generating in-store execution analytics and reports

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