Shopic Tech Stack

Computer vision smart carts for frictionless grocery checkout

Software Development Tel-Aviv 51–200 employees Privately Held

Shopic deploys clip-on computer vision devices that convert regular shopping carts into smart checkout terminals for supermarkets. The tech stack—Python, React, TypeScript, MySQL, MongoDB, PostgreSQL, plus Elasticsearch for real-time analysis—supports both the on-device inference layer and a backend data pipeline. Active projects focus on regional deployment (Chile), shrink detection via video annotation, and scaling the training pipeline, indicating the company is moving from initial deployments into multi-region operations and addressing the core profitability challenge of self-checkout: inventory loss.

Tech Stack 19 technologies

Core StackMixpanel Jira Confluence Zendesk Slack Linux Python Elasticsearch React TypeScript MySQL MongoDB PostgreSQL Bash Google Sheets Google Drive CVAT Kibana Git

What Shopic Is Building

◆Challenges

Reducing shrink at self-checkout
Expanding shopwatch footprint
Scalable training pipeline
Product identification from large catalog
Complex software issues
Meeting strict sla requirements
Improving retail operations
Scaling data operations function
Ensuring high data quality
Managing remote annotation teams

▲Active Projects

Shopwatch deployment in chile
Smartcart product development
Smart-cart solution
Scalable training pipeline
Technical escalation for chile region
Production environment monitoring
Video annotation for shrink detection
Technical support for shopwatch devices
Annotation pipeline improvement
Tool evaluation and implementation

Hiring Activity

Steady7 roles · 2 in 30d

Department

Engineering

Data

Research

Sales

Support

Seniority

Senior

Mid

Junior

Lead

Company intelligence

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

Get started free

About Shopic

Shopic builds intelligent cart hardware and software for medium and large grocery retailers. The core product is a clip-on device that uses computer vision to enable frictionless checkout, in-store promotions via a retail media channel, and real-time shopper insights without requiring store infrastructure overhauls. The company operates across Israel, Chile, Czechia, and the United States, with active engineering, data, and research teams focused on product development, regional deployment, and video annotation pipelines for shrink detection. The hiring mix—engineering-heavy with emerging data and research depth—aligns with the technical challenges of scaling computer vision model training and managing remote annotation teams across geographies.

HeadquartersTel-Aviv

Company Size51–200 employees

Hiring MarketsIsrael, Chile, Czechia, United States

Frequently Asked Questions

What is Shopic's technology stack?

Shopic uses Python, React, TypeScript for core development; MySQL, MongoDB, PostgreSQL for data storage; and Elasticsearch + Kibana for real-time analytics. Jira, Confluence, Mixpanel, and Zendesk support ops and product.

What is Shopic working on right now?

Active projects include smart cart product development, regional deployment in Chile, shrink detection via video annotation, and scaling the training pipeline for product identification across large grocery catalogs.