ACI incorporates the Transport Cost Optimization to streamline the delivery process and deliver greater customer experience for a Kitchen Tap manufacturer​

A a leading manufacturer of kitchen taps, located in New York ​

Goals/ Challenges

Goals​

• Selection of the best possible routes to cut down the transportation time ).- Reduction of the transportation cost​
• Better partner collaboration wherever possible )0- Access to real time Information​
• Contingency planning against external factors​

Challenges​

• Integration of available statistical tools with the ERP systems to gather data ​
• Computational difficulty with growing number of customers​

Our Solution/ Approach​

Solution​

• Analysis of distance/travel time data between customers, depots, and pick up points​
• Constraint-based identification of optimal routes from all feasible routes between the nodes, considering several factors​
• Detailed delivery schedule for real-time monitoring of dispatch of goods with respect to trucks, products, and routes​

Approach​

• Route optimization and generation of delivery schedule in terms of vehicle, driver, location, time and customer details ​
• Leveraged meta-heuristic-based swarm intelligence optimization algorithms​
• Proposed improved efficiency for trucks by identifying the root causes of delay and analyzing the past delivery data​