Supply chain automation and demand-sensing platform for retail
Neogrid operates a supply chain data platform built on Postgres, SQL Server, Kafka, and cloud data warehouses (Azure Synapse, AWS, GCP), with observability via Prometheus and Grafana. The company is mid-transformation: actively reengineering legacy systems, consolidating product surfaces, and migrating databases — all while maintaining core demand-sensing and inventory optimization for retail networks. Hiring skews engineering-heavy (15 of 38 open roles), but with meaningful product and data investments, suggesting both infra modernization and capability-building around AI features.
Neogrid automates supply chain synchronization for retail networks, focusing on demand forecasting, inventory positioning, and store-level execution. The platform ingests point-of-sale behavior, demand signals, and shopper data to optimize product availability across store locations and time windows. Founded in 1999 in Brazil, the company serves retail chains across Latin America. The tech stack spans Python, Java, and C++ on the backend; React on frontend; Kafka for event streaming; and analytical engines (Trino, DuckDB) for real-time demand calculations. Current engineering priorities center on system modernization, performance optimization, and consolidating multiple product experiences into a unified customer layer.
Postgres, SQL Server, Amazon RDS, Azure Synapse, Python, Java, C++, Kafka, Kubernetes, React, Django, FastAPI, Trino, Elasticsearch, and AWS/GCP cloud infrastructure.
Joinville, Santa Catarina, Brazil. The company was founded in 1999 and currently employs 501–1,000 people.
Other companies in the same industry, closest in size