Trax Retail
Trax Retail uses computer vision, deep learning, and AI to analyze shelf images for consumer packaged goods brands and retail field teams.
What Trax Retail is
Trax Retail uses computer vision, deep learning, and AI to analyze shelf images for consumer packaged goods brands and retail field teams. Its system identifies products and their placement, then checks shelf execution against planograms and KPIs. Reporting covers availability, share of shelf, pricing, promotional and store compliance, market share, staff performance, and SKU performance; dashboards can be configured around client KPIs. AI-powered Next Best Action prioritizes sales representatives’ actions based on in-store performance against Perfect Store KPIs. A quality assurance team reviews and validates image-recognition data. The Trax app supports offline image capture during visits. Its Salesforce connector synchronizes store, account, user, and route information with Trax and returns shelf KPI data to Salesforce. Connector compatibility includes Salesforce Sales Cloud and Consumer Goods Cloud, plus Salesforce1 and CG Cloud mobile apps. Customers can also submit store-visit sessions, scenes, and images through the Input API for recognition and analysis. The platform serves CPG brands and retail field teams in categories including food and beverage, household, and pet care. Trax was founded in Singapore in 2010 and is available on iOS, web, and API, with pricing on request.
Good
- Compares shelf execution with planograms and KPIs
- Dashboards can reflect client KPIs
- Offline image capture during visits
- Input API accepts images from customer applications
Watch out
- Pricing is available on request
- Salesforce connector lists a maximum of 30 visits per 20 minutes
Who it suits
Trax Retail suits CPG brands and retail field teams that need image-based shelf analysis and in-store execution visibility. Its listed categories include food and beverage, household, and pet care.
Verdict
Trax Retail brings shelf-image analysis, field guidance, and Salesforce connectivity together for retail execution work. Teams should note the connector’s documented visit limit and request pricing details.
The facts
Each one read from Trax Retail's own pages, with the date it was checked.
What it does
- API
- Trax's Input API lets customers upload store-visit sessions, scenes, and images from their own application or service for recognition and analysis.checked 4 Oct 2026
- Authentication
- The integration documentation says optional single sign-on supports OAuth 2.0 authentication servers including ADFS, Salesforce, Okta, and PingFederate.checked 4 Oct 2026
- Availability and pricing
- The product provides visibility into on-shelf availability, share of shelf, pricing, and promotional compliance.checked 4 Oct 2026
- Field guidance
- AI-powered Next Best Action provides sales representatives with prioritized actions based on in-store performance against Perfect Store KPIs.checked 4 Oct 2026
- Image quality
- A quality assurance team reviews and validates image-recognition data for accuracy.checked 4 Oct 2026
- Integration limits
- The Salesforce integration documentation lists a maximum of 30 visits per 20 minutes and 750,000 active stores per project.checked 4 Oct 2026
- Offline use
- The Salesforce integration overview says the Trax app has built-in offline features for image capture during visits.checked 4 Oct 2026
- Product purpose
- Trax uses computer vision, deep learning, and AI to analyze retail shelves and support in-store execution.checked 4 Oct 2026
- Retail metrics
- Trax reports on execution, store compliance, market share, staff performance, and SKU performance, with dashboards configurable around client KPIs.checked 4 Oct 2026
- Salesforce compatibility
- The connector documentation lists compatibility with Salesforce Sales Cloud and Consumer Goods Cloud, and Salesforce1 and CG Cloud mobile apps.checked 4 Oct 2026
- Salesforce integration
- The Salesforce connector synchronizes store, account, user, and route data to Trax and returns shelf KPI data to Salesforce.checked 4 Oct 2026
- Shelf recognition
- Its system identifies products and placement from images, then compares shelf execution with planograms and KPIs.checked 4 Oct 2026
- Who it serves
- Trax describes its platform as serving CPG brands and retail field teams across categories including food and beverage, household, and pet care.checked 4 Oct 2026
The company
- Company history
- Trax says it was founded in Singapore in 2010 by Joel Bar-El and Dror Feldheim.checked 4 Oct 2026
- Founded
- 2010checked 4 Oct 2026
- Headquarters
- Singaporechecked 4 Oct 2026
