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Trax Solution

Work smarter, not harder with real-time store conditions at your fingertips

Get eyes on the shelf

Get the visibility to take action where and when it matters most

The world’s most successful CPG brands use Trax’s computer vision and AI powered solutions to measure what’s really happening in the store. We think this data should be available to all. That’s why we’ve developed these solutions for fast-growing brands like yours. 

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30

 of the top 50 CPG brands trust Trax to drive growth

 

500+ 

emerging and high growth brands as customers

“For those who need a strong in-store retail support with boots on the ground, we highly recommend Trax.”

Chris Valleta,
Co-Found of MISSION

Understand what’s happening in store

Over 3,000 brands come to market every year, each vying for their place on the shelf. Knowing what’s happening on the shelf—and being able to pivot accordingly—can make all the difference to your brand’s success. With Trax, you get the intel you need to:  

✓  Understand how your products are being presented to shoppers in the store

✓ 
Be nimble and calibrate your launch strategy in real-time based on shelf data

✓  Discover and fix out-of-stock issues to protect your sales story and revenue growth

Gain retailer compliance  

Compliance is one of the most critical factors for your brand’s success in retail.

   Know whether stores are displaying your products and promotions according to your retailer agreements

   Use data-driven recommendations to build your relationship with retailers

✓   See what your shoppers see today—not weeks from now—and quickly fix mistakes

Optimize your field team     

Do you have your own field force? If so, you can also use shelf data to make sure they’re using their time in store in the best way possible to drive brand growth and sales uplift incremental uplift 

   Empower sales reps to make smart decisions with shelf insights at their fingertips 

   Send out-of-stock alerts to your reps to act on during their store visits

   Turn your sales team into a well-oiled machine with performance data and insights