Smart shopping cart platform with embedded retail media network
Cust2Mate builds hardware and software for digitized in-store shopping, combining smart carts with a retail media network. The tech stack (Node.js, React, Angular, Python, Spark, BigQuery, dbt, Databricks, Airflow) is heavily weighted toward data pipelines and media infrastructure—matching their active work on batch/streaming ingestion, modular dbt models, and campaign management. Engineering-heavy hiring (10 of 22 roles) plus concurrent work on mechanical design and CI/CD suggests they're scaling both the cart hardware platform and the advertising software that runs on it.
Cust2Mate operates a smart shopping cart platform deployed in grocery retail chains. The core offering combines connected hardware (carts with embedded displays and sensors) with software for personalized promotions, checkout acceleration, and in-store media monetization. They process transaction and behavioral data to power on-cart offers and serve targeted ads to shoppers in real time. The business spans hardware manufacturing (operations in Israel and Brazil), software development (web and mobile interfaces), and a growing retail media network that monetizes ad placements for CPG brands. Customers include major grocery operators seeking to increase basket size, reduce shrinkage, and unlock new revenue streams through first-party retail media.
Frontend: Node.js, NestJS, React, Angular, TypeScript. Backend: Python, Java, Kotlin, Scala. Data: Apache Spark, BigQuery, dbt, Databricks, Airflow. Cloud: Azure, GCP. Operations: Jira, GitHub, Salesforce, HubSpot.
Headquarters in Givatayim, Tel-Aviv District, Israel. Currently hiring in Israel and Brazil.
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