Trax Retail

Trax Retail is a shelf-analysis and field-execution platform for consumer packaged goods (CPG) brands and retail teams. It suits organizations that need store-level visibility and guidance tied to their own performance measures. Its combination of image recognition and prioritized field actions is compelling, though custom pricing and Salesforce connector limits warrant careful evaluation.

Overview

Trax applies computer vision, deep learning, and AI to retail-shelf images. It identifies products and their placement, then compares observed execution with planograms and KPIs. That focus makes it a fit for teams whose work depends on measuring shelf conditions, rather than a general-purpose field-sales tool.

Founded in Singapore in 2010 by Joel Bar-El and Dror Feldheim, Trax serves CPG brands and retail field teams in food and beverage, household, and pet care categories.

Key features

Shelf visibility and performance reporting

Trax provides visibility into on-shelf availability, share of shelf, pricing, and promotional compliance. Its reporting also covers store compliance, market share, staff performance, and SKU performance, with dashboards configurable around client KPIs. This breadth can connect store conditions to a brand’s execution priorities; it is most useful when those measures inform decisions, rather than when a team needs only basic visit tracking.

Recognition review and field guidance

A quality assurance team reviews and validates image-recognition data, an important check when teams use shelf measurements to assess execution. AI-powered Next Best Action prioritizes sales representatives’ actions based on in-store performance against Perfect Store KPIs. Together, these capabilities link shelf evidence with suggested field work, though the recommendations are anchored to those performance measures.

Salesforce integration and API

The Salesforce connector synchronizes store, account, user, and route data to Trax and returns shelf KPI data to Salesforce. It is compatible with Salesforce Sales Cloud and Consumer Goods Cloud, as well as the Salesforce1 and CG Cloud mobile apps. Optional single sign-on supports OAuth 2.0 authentication servers including ADFS, Salesforce, Okta, and PingFederate.

The connector documentation sets a maximum of 30 visits per 20 minutes and 750,000 active stores per project. Those are substantial operating boundaries for high-volume deployments and should be checked against expected usage. The Trax app supports offline image capture during visits. Separately, the Input API lets customers submit visit sessions, scenes, and images from their own application or service for recognition and analysis.

Pricing

Trax Retail is paid, with custom pricing. Teams will need to request pricing to assess fit against their budget; no plan tiers, seat terms, trial period, or renewal conditions are stated. This makes cost harder to compare before engaging with the provider, particularly for buyers who need a published entry price.

Platforms

Trax Retail supports API, iOS, and web. The API can accept image and visit data from a customer’s own application or service, while the Salesforce connector supports the named Salesforce clouds and mobile apps. Android is not among the listed platforms.

Who it's for

Trax is aimed at CPG brands and retail field teams, including those in food and beverage, household, and pet care. It is a strong candidate when shelf recognition, planogram comparison, configurable KPI reporting, and prioritized field actions are central to store execution. Teams primarily seeking a broad field-sales workflow, or whose Salesforce workload exceeds the connector’s stated limits, should weigh other options.

Pros and cons

Pros

• Connects shelf conditions to business measures: Product recognition and planogram comparison feed reporting on availability, share of shelf, pricing, promotions, and other KPIs.
• Turns performance measures into field priorities: Next Best Action helps representatives focus on actions tied to Perfect Store KPIs.
• Supports customer-specific workflows: Configurable dashboards, an Input API, offline image capture, and Salesforce synchronization offer several routes for fitting the platform into existing operations.
• Recognition data receives review: A quality assurance team validates image-recognition data, adding a review step to the image-analysis process.

Cons

• Custom pricing reduces upfront cost clarity: Buyers cannot compare a published plan price before requesting one.
• Salesforce usage has explicit ceilings: The connector allows at most 30 visits per 20 minutes and 750,000 active stores per project, which may constrain some deployments.
• Platform coverage is limited to API, iOS, and web: Teams requiring a listed Android platform should consider alternatives.

Alternatives

Retail Execution Software is a useful starting point for comparing products in the category.

• Movista is a paid option for teams looking for Android, API, iOS, and web platforms.
• ZenOwn Shelf Compliance AI is a paid option with Android, iOS, and web support.
• MC1 Retail Execution is a paid option with Android, iOS, and web support.
• StayinFront TouchCG is a paid Android and iOS option with custom pricing; contact sales for information or a demo.
• FORM is a paid alternative supporting Android, API, iOS, self-hosted, web, and Windows. FORM OpX has a 10-user minimum, while GoSpotCheck by FORM has a billed 20-user minimum.
• Neurolabs ZIA is a paid option with Android, iOS, and web support.
• Pensa Systems is a paid option with Android, iOS, and web support.
• Shelfr is a paid option with Android, iOS, and web support.

Verdict

Choose Trax Retail if your CPG or retail field team needs image-based shelf measurement connected to configurable KPIs and prioritized actions. Its strongest reason to choose is the link from shelf recognition to field guidance, reinforced by Salesforce and API options. Look elsewhere if you need published pricing, Android support, or Salesforce connector capacity beyond its stated limits.