About
Trax Retail is an AI-first retail intelligence platform built for consumer packaged goods (CPG) brands and retailers seeking to dominate the shelf and drive sales growth. Founded on pioneering computer vision technology—with over 55 patents—Trax has been delivering world-class AI solutions since 2010. Its integrated platform combines cloud-based and on-device image recognition, autonomous data collection, on-demand merchandising, and a full-funnel consumer engagement engine into one cohesive system. At its core, Trax digitizes retail environments by processing billions of product images annually, giving brands visibility into every SKU across millions of store visits per month. Real-time insights cover transactional data, backroom inventory, in-store shelf conditions, and point-of-sale materials (POSM), enabling data-driven decisions at both HQ and regional levels. Key capabilities include planogram compliance monitoring, retail execution management, KPI tracking dashboards, and flexible workforce deployment for merchandising resets. Trax's agile deployment model ensures rapid setup for in-store engagement programs and sales campaigns without sacrificing quality. The platform serves industries including Food & Beverage, Alcohol, Household, Baby & Children, Over-the-Counter, and Pet Care. With a global team and presence in 80+ countries, Trax tailors solutions for markets of all sizes—from brands with tens of thousands of distribution points to those reaching their first thousand doors. It is consistently recognized with awards for AI excellence and retail innovation.
Key Features
- AI Image Recognition: Cloud-based and on-device image recognition processes billions of product images annually to give brands full visibility into every SKU on the shelf.
- Real-Time Retail Data: Aggregates transactional, in-store, backroom, and POSM data in real time so brands can make informed decisions and execute objectives faster.
- Planogram Compliance Monitoring: Automatically detects shelf deviations from planograms and flags execution gaps, helping brands maintain consistent store standards at scale.
- On-Demand Merchandising: Provides access to a flexible workforce for in-store merchandising resets and execution tasks, deployable rapidly across thousands of locations.
- Full-Funnel Consumer Engagement: Connects in-store retail execution with consumer engagement programs to drive brand loyalty and long-term customer retention.
Use Cases
- A global beverage brand uses Trax's image recognition to monitor planogram compliance across 50,000 retail locations, reducing out-of-stock incidents and boosting shelf share.
- A CPG company's category management team leverages Trax's real-time shelf data to identify distribution gaps and prioritize sales rep activities in underperforming regions.
- A household goods manufacturer deploys Trax's on-demand merchandising workforce to execute store resets and promotional displays ahead of a major product launch.
- A food and beverage brand integrates Trax's consumer engagement platform to run in-store loyalty programs that convert shelf shoppers into repeat buyers.
- A regional procurement team uses Trax's analytics to benchmark competitive shelf performance across multiple retail chains and adjust their trade promotion strategy accordingly.
Pros
- Pioneer in Computer Vision: With 55+ patents and over a decade of AI development, Trax offers one of the most mature and proven retail image recognition platforms available.
- Global Scale: Operates in 80+ countries with local market expertise, making it suitable for multinational CPG brands needing both regional and HQ-level insights.
- Integrated Platform: Combines data collection, shelf analytics, merchandising execution, and consumer engagement in one system, eliminating the need for multiple point solutions.
- High Client Retention: Strong retention rates reflect consistent ROI delivery and platform reliability for leading global consumer goods companies.
Cons
- Enterprise-Focused Pricing: Trax is designed for large CPG brands and retailers; pricing and implementation complexity may be prohibitive for small businesses or emerging brands.
- Limited Self-Serve Information: Pricing, onboarding timelines, and feature details are not publicly available, requiring direct sales engagement to evaluate the platform.
- Requires On-the-Ground Data Collection: Accurate insights depend on consistent in-store data capture, which may require workforce coordination or device deployment across many locations.
Frequently Asked Questions
What industries does Trax Retail serve?
Trax serves CPG brands across multiple verticals including Food & Beverage, Alcohol, Baby & Children, Household, Over-the-Counter (OTC), and Pet Care.
How does Trax collect in-store retail data?
Trax uses a combination of cloud-based and on-device AI image recognition, autonomous data collection methods, and a flexible field workforce to capture shelf and store data across millions of locations monthly.
Does Trax support global retail operations?
Yes, Trax operates in over 80 countries with local teams and tailored solutions for both regional and global retail execution needs.
What is the difference between Cloud IR and On-Device IR?
Cloud IR processes images via Trax's cloud infrastructure for large-scale analytics, while On-Device IR enables real-time image recognition directly on mobile or edge devices for immediate field insights without relying on connectivity.
How quickly can Trax be deployed?
Trax emphasizes an agile deployment model designed for rapid setup of in-store engagement programs, KPI dashboards, and merchandising workflows so brands can begin generating insights quickly.
