On-demand logistics platform connecting drivers and shippers across Southeast Asia
Ahamove operates a two-sided logistics marketplace built on Python, Go, Node.js, PostgreSQL, MongoDB, and Kafka—a production-grade stack for real-time order matching and vehicle tracking. The company is actively adopting Claude and OpenAI while scaling truck services across cities and piloting new driver models, suggesting a push into AI-assisted operations and service expansion. Hiring velocity is minimal despite 31 open roles, concentrated in sales and ops, indicating a phase of consolidation around driver recruitment and operational KPI management rather than rapid growth.
Ahamove is a logistics platform founded in 2015 in Ho Chi Minh City, Vietnam, that connects shippers and drivers on-demand. The service spans instant order matching, real-time GPS tracking, 24/7 availability, and driver ratings. The company operates across three service layers: same-day delivery, moving services, and an emerging food delivery vertical (ahafood). Current focus areas include expanding truck services into new cities, improving driver onboarding, and optimizing fulfillment volume and upsell revenue. The organization is privately held with 201–500 employees, operating primarily in Vietnam.
Backend: Python, Go, Node.js, Java, Scala. Databases: PostgreSQL, MongoDB, BigQuery, ClickHouse. Infrastructure: AWS, GCP, Kubernetes, Docker. Streaming: Kafka, RabbitMQ, Redpanda. Analytics: Data Studio, Power BI, Looker, Tableau, Databricks, dbt, Apache Airflow.
Key projects include ahafood AI development, truck service expansion into new cities, driver recruitment and retention, user activation and upsell optimization, API partner integrations, and improvements to driver onboarding and operational support systems.
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