The company operated a vast cold-chain network with high logistics costs, misaligned supply-to-consumption mapping, and poor scalability during seasonal peaks. Inefficient secondary routes, rising fuel expenses, and frequent spoilage reduced profitability and impacted brand reliability.
Translytics deployed its AI-Powered Cold-Chain Network Optimization Engine, simulating multiple routing scenarios, reducing transport distances, and improving supply point alignment. This ensured cost efficiency, reduced spoilage, and improved cold-chain responsiveness during demand peaks.
Ensures product quality and preserves margins across the network.
Anticipates spoilage risks to minimize losses and waste.
Optimizes delivery routes for timely, cost-efficient distribution.
Monitors shipments continuously to maintain quality and responsiveness.
"Translytics transformed our cold-chain operations. We cut costs, reduced spoilage, and improved responsiveness in peak season demand."