Cloud-native TMS for route planning, fleet management, and last-mile delivery
UNIGIS operates a Transportation Management System (TMS) platform built on Azure and AWS, with active deployments across Mexico, Brazil, Spain, and South America. The hiring mix is operations-heavy (8 ops roles) relative to engineering (2), paired with active projects in TMS configuration and API development—suggesting a services-led implementation model where customer-specific logistics workflows drive more revenue than product innovation alone. Pain-point data points to predictive modeling and logistics optimization as ongoing technical friction.
UNIGIS is a cloud-based Transportation Management System serving mid-market and enterprise logistics operators in Latin America and Spain. The platform consolidates order management, intelligent route optimization (multi-constraint solver for capacity, distance, time windows, and fleet constraints), real-time GPS monitoring, proof-of-delivery (POD) capture, and back-office transport administration. The product integrates e-commerce fulfillment workflows with carrier collaboration features and omni-channel notifications. UNIGIS runs on AWS and Azure infrastructure, operates across six countries (Mexico, Brazil, Spain, Canada, Chile, Colombia), and employs 51–200 staff with growing hiring velocity.
UNIGIS provides order-to-delivery management: order consolidation and validation, multi-constraint route optimization, real-time GPS tracking with deviation alerts, proof-of-delivery capture, and integrated back-office transport administration including fleet, driver, and tariff management.
UNIGIS runs on AWS and Azure cloud, with SQL Server and Linux backends. Development includes Python, TensorFlow, PyTorch, and scikit-learn for ML; API development is active. Testing and deployment leverage Jira, Zephyr, JMeter, and standard enterprise tooling.
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