Heineken has partnered with Blue Yonder to further transform its supply chain planning capability.
It will implement cognitive demand planning, a next generation cloud-native, microservices-based saas solution, that utilises artificial intelligence (ai) and machine learning (ml) to improve forecast accuracy and reduce bias by considering dynamic external and internal variables.
Heineken has been implementing Blue Yonder solutions for multiple years unlocking value for its business, especially with the potential to improve forecast accuracy through ML demand forecasting solution.
It has selected Blue Yonder, as one of the current major supply chain solution providers, to future proof its demand planning process and leverage AI/ML, autonomous scenario planning, planning process orchestration and solution extensibility.
Corneel Hindriks, manager, digital & technology – global planning, Heineken said: “We want to continuously improve our supply chain processes and adopting Blue Yonder Cognitive Demand Planning is an important step in that ambition.
“Working together with Blue Yonder will support us in our ambition to become the best-connected brewer and foster functional excellence in demand planning, leading to improved customer experience.
“And with the right supply response it could generate a positive impact on our sustainability targets as well, for example by reduced write-offs and less goods movements.”
Once the Blue Yonder Cognitive Demand Planning solution is implemented, Heineken expects to achieve the following benefits:
“Make more informed, data-driven decisions: get all the real-world and business data Heineken needs in a unified data cloud and integrate all planning processes to make better decisions – with speed and scale.
“Manage complexity and boost accuracy: combine the best output from statistical forecasting and extensible ML to deliver higher forecast accuracy and reduce bias.
“Respond faster: compress the planning cycle and empower planners to drive strategy and respond in the moment, not on a fixed schedule.
“Create and deploy customized and extended solutions: build, test and confidently deploy customised and extended ML models, workflows, personalised user experiences, and business logic at production scale with minimal effort.”
