Store management platform connecting IoT sensors, inventory, and digital signage across retail locations
Shop-IQ operates a web-based control system for multi-site retail operations, connecting IoT hardware (refrigeration, digital price displays, sensors) to inventory and point-of-sale systems through a centralized cloud platform. The stack reflects a data-forward engineering approach: Python + PostgreSQL + AWS, now adopting dbt and doubling down on AWS infrastructure. Active project work on scalable data pipelines for IoT sensors and a cloud-native data platform indicates the company is scaling beyond single-store deployments toward cross-location analytics and automation.
Shop-IQ develops a web-based store management platform for bakeries, butcher shops, convenience stores, and other small-to-medium retail chains in Germany. The product integrates hardware monitoring (cooling systems, digital signage), inventory management, and point-of-sale operations into a single browser-accessible dashboard, with no on-premises software installation required. Founded in 2013 and self-owned, the company operates from Schweinfurt, Bavaria, and maintains engineering-led hiring focused on backend systems development, cloud architecture, and data infrastructure. Current challenges center on automating internal processes and integrating fragmented legacy systems (POS, inventory) across customer networks.
Core stack: Python, PHP, Symfony, TypeScript, Angular. Infrastructure: AWS, Docker, Terraform, CloudFormation. Data: PostgreSQL, Snowflake, Redshift, BigQuery, Dagster, Apache Airflow. Now adopting dbt for data modeling.
Backend systems, web portal UI, AWS cloud strategy, a data platform in AWS, scalable data pipelines for IoT sensors, and dbt-based data modeling. Customer projects focus on modular process integration.
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