Company profile

RetailNext Tech Stack

In-store shopper analytics using computer vision and multi-sensor tracking

IT Services and IT Consulting Campbell, California 201–500 employees Founded 2007 Privately Held

RetailNext sells physical-store analytics built on an edge computer-vision stack: OpenCV, OpenVINO, TensorFlow Lite, ONNX and FFmpeg on C++ and Python, with CVAT and Label Studio for annotation. Data flows through Kafka, Pub/Sub, Cassandra and Elasticsearch across AWS and GCP. Accelerating, sales-led hiring centered on German and Italian market expansion sits alongside engineering work on stereo sensors and 3D shopper tracking.

Tech Stack 39 technologies

Core StackPython MATLAB C++ Salesforce HubSpot Go Cassandra Redis Elasticsearch gRPC Kafka Ruby Node.js Java AWS Docker Aurora Bluetooth Pub/Sub AWS SQS GCP TensorFlow Lite OpenVINO ONNX OpenCL OpenMP OpenCV FFmpeg CVAT Label Studio+5 more

What RetailNext Is BuildingChallenges and projects from their job posts

◆Challenges

Scaling computer vision to large installations
Retail shrink and organized retail crime
Complex multi-location rollouts and vendor coordination
Improving performance of existing algorithms
Slow investigations

▲Active Projects

Computer vision for shopper detection and tracking
Aurora stereo sensor development
Software integrating multiple sensors and tracking systems
Multi-view geometry for 3D reconstruction
Go-to-market expansion into German accounts
Localized marketing for Italian market entry

Hiring Activity

Accelerating7 roles · 4 in 30d

Department

Sales

Engineering

Ops

Seniority

Junior

Senior

Mid

Notable leadership hires: Account Director

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About RetailNext

RetailNext, founded in 2007 and headquartered in Campbell, California, provides analytics for brick-and-mortar retailers, brands and malls. Its platform combines video analytics, Wi-Fi detection, on-shelf sensors and point-of-sale data to show how shoppers move through and convert in stores. It integrates external inputs such as staffing systems, promotional calendars and weather data. The privately held company employs 201–500 people and hires in the United States, Germany, Taiwan and South Africa.

HeadquartersCampbell, California

Company Size201–500 employees

Founded2007

Hiring MarketsTaiwan, Germany, United States, South Africa

Frequently Asked Questions

What tech stack does RetailNext use?

RetailNext uses C++, Python, Go and Java with computer-vision tools like OpenCV, OpenVINO, TensorFlow Lite and ONNX, plus Kafka, Cassandra, Redis and Elasticsearch on AWS and GCP. Salesforce and HubSpot support sales.

Is RetailNext hiring in Europe?

Yes. Hiring is accelerating and skews toward sales, with roles including an Account Director, focused on markets such as Germany and Italy. RetailNext also hires in Taiwan, South Africa and the United States.

What is RetailNext working on?

RetailNext is developing computer-vision algorithms for shopper detection and tracking, Aurora stereo sensors, multi-view geometry for 3D reconstruction, and software that integrates multiple sensors and tracking systems.

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How this profile is built

RetailNext's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.