Truck booking and fleet management platform for India's logistics market
WheelsEye operates a two-sided marketplace connecting shippers and truck owners across India's fragmented logistics network. The stack—Java, Spring, Python, SQL, Kafka, RabbitMQ, Redis on Kubernetes/AWS—supports real-time booking and fleet coordination. Hiring has decelerated to a single role in the past month; the org is lean across engineering, ops, and product, with identified pain points in data processing scale and manual workflow inefficiency suggesting the platform is hitting friction points common to high-transaction-volume marketplaces.
WheelsEye is an India-based truck booking platform serving traders, manufacturers, and fleet operators. The platform connects 50,000+ businesses shipping goods with over one million truck owners, covering 1,000+ cities across India. The company handles full-truck-load bookings, fleet management, fuel and insurance coordination, and GPS tracking. Operating at 1,001–5,000 employees from Gurgaon, WheelsEye competes in India's fragmented trucking logistics sector, where standardization and reliable fulfillment remain key differentiators.
Java, Spring, Python, SQL, Spring Boot, MySQL, PostgreSQL, MongoDB, Kafka, RabbitMQ, Redis, Docker, Kubernetes, AWS, and GCP. The emphasis on event streaming (Kafka, RabbitMQ) and caching (Redis) reflects real-time booking and fleet operations.
Active projects include an ops product and automation roadmap, a central ops control tower, and an automated customer support model. These align with stated pain points around manual workflow inefficiencies and scaling data processing.
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