Trax Retail · raw details

Cloud-based Retail Management Solutions · Tel Aviv-Yafo · Founded 2010

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Highlights

Profile claimed by owner

About

Cloud-based Retail Management Solutions

Trax specializes in providing image-recognition technology and market data services for tier-one manufacturers. Trax enables in-store execution controls and the ability to unlock revenue opportunities at all points of sale. The company’s technology can be integrated as a plug-in with existing merchandising or retail execution systems.

The Trax platform utilizes iOS, Android, and Windows smartphones and tablets to capture images of retail shelves. Analysis within the Trax cloud provides immediate, actionable mobile reports to sales reps and aggregated web reports to management teams.

Trax is an OEM partner with more than 25 retail solution providers, and many brands use Trax to manage their in-store execution and increase revenues, including Coca-Cola, AB InBev, Nestl, and Henkel.

Frost & Sullivan chose Trax as the winner of its 2017 New Product Innovation Award, and Trax has been ranked among the top 25 fastest-growing companies on the Deloitte Technology Fast 500 list.

Identity

NameTrax Retail
Slugtrax-retail
Former namesTrax Technology Solutions
Type / kindstartup
Crunchbase IDtraxretail
Source _idagxzfmlsbGlzdHNpdGVyGAsSC05ld19Db21wYW55GICAgL6sq8wJDA

Status

Statusacquired
Status reasonAcquired by Form on Feb 2026
Last update2026-05-17

Location

HQ country codeIL
HQ region/districtCenter District
HQ cityTel Aviv-Yafo
HQ addressYigal Alon Street 114, Tel Aviv-Yafo, Israel

Web & social

Websitehttps://traxretail.com
Careers pagehttps://traxretail.com/company/careers
LinkedInhttps://www.linkedin.com/company/1799284
Twitter / Xhttps://twitter.com/TraxRetail
Facebookhttps://www.facebook.com/TraxRetailTech
YouTubehttps://www.youtube.com/channel/UCZVwlEb5oGzQ3X5129bzUUw

Classifications

Primary sector Business Software
Sub-sectors
Business SoftwareSales & Marketing Solutionse-Commerce Tools
Technologies
Artificial IntelligenceImage RecognitionMachine LearningComputer Vision
Target customers
Commerce & RetailConsumer Goods
Business models
B2B
Tags
machine-learningimage-recognitionretailsaasreal-timemobile-applicationsimage-processingcomputer-visionunicorn-2019artificial-intelligencefood-and-beveragebrandingretail-technologymarketingbusiness-intelligence

Funding

Total raised$1.0B
Current stageAcquired

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