Established in partnership with the process mining and execution management pioneer Celonis, AB InBev GCC first implemented a pilot program in Brazil to examine the company’s purchase-to-pay, order-to-cash, and auditing processes. The company was able to save millions of dollars in value realization after identifying potential interventions to plug the outflows. Thereafter, the company implemented the program in the Middle American Zone to drive efficiencies across the global finance and logistics domain. This success was followed by a rollout at centers across U.S, Mexico, and Europe, where AB InBev GCC established a process mining COE to scale the capacity across various zones.
The COE has had a significant impact on the company logistics, wherein it has been able to improve on several fronts including a 6.6% increase in overall capacity, a 4.1% reduction in the number of trucks used for delivery, and an 8.5% increase in time adherence.
Speaking about the success of the COE, Sanjeev Ravindranathan, Global Director - Operations, AB InBev GCC said, “Logistics is a complex function with thousands of deliveries to be made in a day. Our process mining capability allows us to consolidate information at various levels and leverage insights to optimize the delivery process. Earlier, our trucks had an 83% success rate of delivering an order in the first attempt. Process mining has enabled us to take this success rate to 86% while also helping us save millions of dollars.”
AB InBev GCC’s process mining proposes an ideal delivery slot for the drivers to reduce rejections, manages optimum load volume, and highlights when the vehicles are overloaded or underloaded. Thus impacting costs, ensuring driver safety, and improving first-attempt deliveries enabling us to reduce the number of delivery cycles and throughput time.
“We have traditionally looked at data mining to derive insights and generate business value. However, the amalgamation of process mining with data mining will help the industry move towards a more sustainable future by making E2E adjustments to derive value rather than looking at scattered value pockets.”, adds Sanjeev.
