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Trax Retail Features:
- High-accuracy AI image recognition to detect SKUs on shelves (≈ 96% accuracy)
- Cloud-based & on-device image recognition modes for offline usability
- Shelf condition monitoring: out-of-stock, gaps, misplaced SKUs, missing planograms
- Planogram compliance verification and corrective action suggestions
- In-store execution workflows & task management for field teams
- Real-time alerts and actionable insights via dashboards and mobile reporting
- Integration with external systems via APIs / SDK for data exchang
- Consumer engagement & shopper journey tools (via Shopkick) for full-funnel marketing
- Historical trend analysis, comparisons across stores, and benchmarking
- Scalable deployment supporting global operations, multi-market coverage
Trax Retail Description:
Trax Retail is a sophisticated AI-powered analytics and execution platform tailored for consumer goods brands and retailers. It uses computer vision and deep learning technologies to transform images of retail shelves into actionable insights, capturing real-time data about SKU presence, stock gaps, planogram compliance, and promotional display performance. Its hybrid architecture supports cloud image recognition as well as on-device recognition, which allows field teams to scan shelves even in limited or offline network environments.
With billions of trained image references and patented algorithms, Trax ensures data quality, delivering accuracy rates upward of 96 percent in identifying products on shelves. The platform monitors shelf conditions continuously, detecting out-of-stock items, misplaced SKUs, promotional compliance, and adherence to shelf layouts. These insights are then surfaced through dashboards, alerts, and prioritized task lists, enabling retail and merchandising teams to take corrective action swiftly at the store level.
To enable effective in-store execution, Trax offers workflow and task management tools for field teams. These tools coordinate merchandising, audits, and corrective tasks, making execution more organized and efficient. Trax also integrates with external systems through APIs and SDKs, so the insights can feed into existing enterprise systems—such as CRM, category management, or BI platforms. In addition, Trax’s engagement suite—powered by Shopkick—enables brands to bridge the gap from shelf optimization to consumer interaction, supporting shopper engagement, loyalty, and data-driven marketing across the customer journey.
Because Trax supports large-scale deployment across multiple markets, it is suited for global brands and retail chains. It handles regional heterogeneity in products, store formats, and merchandising rules. Over time, it builds historical trends, comparative benchmarks, and predictive signals to help brands allocate resources more effectively. In essence, Trax Retail is not just a shelf-monitoring tool; it is a strategic platform that blends image analytics, execution orchestration, and shopper engagement to drive growth in modern retail environments.
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