The team developed an automated routing and capacity heuristics model that minimizes total drive time and reduces the number of trucks required while maintaining service levels. The model incorporates real-world constraints such as vehicle capacity, delivery time windows, and traffic patterns to ensure routes are both efficient and operationally feasible.

The solution replaces time-intensive manual routing with an automated approach, allowing territory managers to generate efficient daily routes through an intuitive interface. Pilot testing in Charleston confirmed operational feasibility and demonstrated meaningful impact, with approximately $9.6K in peak-season savings and $13.7K in off-season savings. When scaled across all regions, the model is projected to generate $82K–$130K in annual company-wide savings.

Beyond cost savings, the system streamlines operations, improves workload balance, and provides a replicable solution for implementation across VayKLife’s 14 regions.