An iconic footwear brand was constrained by a legacy distribution model that drove up costs and slowed fulfillment. Inefficient depot routing, redundant long-haul shipments, and poor warehouse design inflated the cost per delivery, especially for tier 2 and 3 city shipments. The absence of simulation tools meant network decisions were reactive rather than data-driven, leading to high cost-to-serve in remote zones and resource wastage in depot-to-depot transfers.
Translytics deployed an AI-powered network simulation and cost modeling engine to reimagine the logistics footprint. Within 8 weeks, the solution optimized warehouse count, redesigned fulfillment routes, and introduced multipoint shipping strategies. With AI-simulated design, the client achieved a more agile, cost-effective network that minimized redundant shipments and improved nationwide delivery speed.
Identifies opportunities for cost efficiency.
Optimizes resource and inventory allocation.
Provides actionable, real-time insights.
Simulates scenarios for informed decisions.
"Translytics helped us redesign our logistics backbone. By simulating warehouse and routing decisions before execution, we cut delivery costs while reaching our customers faster — a huge win for our nationwide distribution."