T

Trax Retail Tech Stack

AI-powered shelf monitoring and retail execution platform for CPGs and retailers

Information Technology & Services Boston, Massachusetts 501–1,000 employees Privately Held

Trax builds computer-vision and AI-driven shelf monitoring solutions for major CPG and retail brands across 80+ countries. The stack—Python, Java, C++, PyTorch, TensorFlow, Kubernetes, and multi-cloud (AWS, GCP, Azure)—reveals a mature ML platform architecture, yet active pain points around production performance, model deployment reliability, and recognition accuracy suggest the company is scaling AI capabilities faster than its infrastructure can absorb. Active projects span core platform development, model lifecycle automation, and image recognition optimization, paired with a sales focus on solution planning and customer onboarding.

Tech Stack 23 technologies

Core StackSalesforce SAP Python Java C++ C# Go Rust PyTorch TensorFlow scikit-learn Apache Airflow Kubeflow MLflow AWS Kubernetes Docker Excel JSON ClearML Triton GCP Azure

What Trax Retail Is Building

◆Challenges

Production performance gaps
Lack of real-time shelf visibility
Process bottlenecks
Recognition accuracy
Integration management
Reporting and kpi maintenance
Scaling ai capabilities
Model deployment reliability
Onboarding and delivery of solutions
Adoption and value realization

▲Active Projects

Core ai platform development
Recognition factory
Model lifecycle automation
Rfi/rfp response development
Product demonstration and presentation
Full sales cycle solution planning
Digitization of images
Optimization of recognition processes
Setup of trax solutions
Finalize reporting requirements

Hiring Activity

Decelerating8 roles · 1 in 30d

Department

Engineering

4

Data

2

Sales

2

Seniority

Senior

4

Mid

2

Junior

1

Lead

1

Company intelligence

Find more companies like Trax Retail by tech stack, pain points and active projects

Get started free

About Trax Retail

Trax operates an AI-powered platform connecting CPG brands, retailers, and shoppers through shelf monitoring, retail execution, analytics, and shopper engagement solutions. The company serves 30 of the world's top 50 CPG companies and leading retailers, delivering real-time visibility into in-store execution and merchandising. Trax operates globally from hubs in the United States, Singapore, France, Hungary, China, Mexico, Japan, Brazil, and Israel, with 501–1,000 employees and hiring concentrated in the United States, Canada, and Israel. The organization is engineering and data-heavy, with current hiring skewed toward senior and lead-level roles in AI/ML and platform development.

HeadquartersBoston, Massachusetts

Company Size501–1,000 employees

Hiring MarketsUnited States, Canada, Israel

Frequently Asked Questions

What is Trax Retail's tech stack?

Trax uses Python, Java, C++, Go, Rust, PyTorch, TensorFlow, scikit-learn, Kubernetes, Docker, and multi-cloud infrastructure (AWS, GCP, Azure). Orchestration runs on Apache Airflow, Kubeflow, and ClearML. Enterprise systems include Salesforce and SAP.

Where is Trax Retail headquartered?

Boston, Massachusetts. The company operates global hubs in Singapore, France, Hungary, China, Mexico, Japan, Brazil, and Israel, and serves customers across 80+ countries.