Developing an MVP for fuel cost optimization software
The project involves a cost optimization tool built for U.S. trucking companies to reduce operational expenses and plan more efficient routes. The product provides on-demand access to optimized shipping routes across the country, factoring in fuel levels, tank capacity, fuel station locations, prices, and available driver discounts.
Within less than a week, we integrated a junior Ruby on Rails developer into the client’s team to accelerate their timeline. Working under the technical leadership of the founder, our engineer focused on implementing route optimization logic, fuel price analytics with trucker-specific discounts, and personalized station filtering.
As a result, the client received a robust MVP with 100% test coverage for the core logic, capable of managing complex variables.
delivered features
- route optimization logic for long-haul trucking
- fuel price analytics with real-time trucker discount integration
- end-to-end route and cost calculation for fleet efficiency
- automated customer journey testing for logistics SaaS
team
- 1 RoR developer