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The client faces significant fuel cost overruns due to inefficient refueling decisions, lack of real-time fuel price data integration, and absence of dynamic route optimization capabilities for their truck fleet.
A US-based logistics company specializing in freight transportation, seeking technology-driven solutions to optimize operational costs and improve fleet efficiency.
Initial implementation is projected to reduce annual fuel costs by minimum 15% through optimized refueling decisions, with potential for additional savings through expanded fleet management capabilities in subsequent development phases.