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Trax Connector
Seamless integration of image recognition with retail execution workflow
- Industries
- Consumer GoodsRetail
- Business Need
- SalesAnalyticsIntegration
- Requires
- Sales Cloud
- Compatible With
- Sales Cloud
Trax provides the most powerful and accurate solution for CPGs to collect and analyze physical shelves by utilizing image recognition technologies. This app seamlessly embeds Trax within Salesforce for retail execution and category management.
Highlights
Effortless Data Exchange: Our connector effortlessly transfers master data, including stores/accounts, users, and routes, from your Salesforce server to the Trax server. Say goodbye to manual data entry and embrace automation for enhanced efficiency.
Real-time Shelf Insights: Stay one step ahead with real-time in-store shelf Key Performance Indicator (KPI) data. Our integration solution facilitates the instant transfer of this vital information from the Trax server to your Salesforce server.
Seamless Mobile Experience: Enhance productivity with mobile deep linking between Trax and Salesforce apps. Seamlessly navigate between systems and enjoy a unified, intuitive user experience
Intelligent Decision-making: Our connector empowers Consumer Packaged Goods (CPG) companies to combine Trax datasets with other Salesforce data, unlocking the ability to calculate the next best action for your sales reps.
Streamlined Setup: Say goodbye to lengthy development cycles. Our integration solution provides a guided user experience for Salesforce Admins, enabling them to set up and configure the Trax-Salesforce integration within a matter of hours.
Provider Details
Pricing Details
You must pay for a product or service that is external to Salesforce for this solution to work.
Trax CPG NXT licenses required. Trax utilizes image recognition and machine learning to analyze retail shelves and provide real-time data insights aiming to help CPGs to enhance execution, gather valuable data, and boost sales.
Minimum of 300 users required.
CPG NXT - Trax Connector
$50 USD/user/year