Container logistics and supply chain optimization platform
Conexwest operates a container sales and leasing business built on a data-driven logistics stack: Python, TensorFlow, PyTorch, and Kafka power three core optimization projects—container tracking with ETA prediction, route and load optimization, and predictive maintenance. The tech shape (ML + streaming + cloud infrastructure across AWS/Azure/GCP) reveals a company shifting from pure hardware sales toward software-driven supply chain efficiency, addressing pain points around empty repositioning costs, yard turnaround, and fleet visibility.
Conexwest supplies new, used, and custom shipping containers, alongside leasing and modification services, since 2012. The company operates in the 51–200-person range from Oakland, California, with distributed hiring across the United States, Poland, Ukraine, and Romania. Beyond the core container business, engineering and ops teams are building internal logistics software to optimize routing, predict container failures, and reduce operational waste—indicating a shift toward becoming a software-enabled supply chain player rather than a pure hardware vendor.
Python, TensorFlow, PyTorch, scikit-learn, AWS, Azure, GCP, Kafka, Apache Spark, Oracle NetSuite, and GPS systems. The stack emphasizes ML and real-time data processing.
United States (primary), Poland, Ukraine, and Romania. Hiring spans engineering, ops, sales, construction, and logistics roles.
Other companies in the same industry, closest in size