Order today, receive tomorrow

Order today, receive tomorrow. This is the standard we accept today. For logistics service provider CB, this norm creates new challenges. They were searching for an answer to their daily question: “To what customers are we expected to deliver tomorrow and what quantity?” We accepted the challenge of answering this transportation question, using artificial intelligence (AI). The result is a model that predicts orders per delivery address which increased planning accuracy by 80%, resulting in a 10% cost reduction. We guided and supported CB in numerous areas:

“Because we are dealing with a huge amount of information and because the logistical process is complex and vulnerable due to time pressure, we have reached out to Conclusion Intelligence. The aim was to develop a model that enables us to determine whether we can use AI to get a clear answer to the logistics question: to what customers do we expect tomorrow to deliver how much volume? Using machine learning algorithms, Conclusion Intelligence has developed an AI model that allows us to get answers based on our historical order data.” – Arjan De Jong, CB

The forecast shows an improvement of more than 80% in predicting the number of addresses CB needs to deliver to, resulting in a 10% cost reduction. The AI model itself looks for patterns in the data that influence the forecast and, based on this, predicts the drop size per delivery address. This enables CB to further realize an optimization in cost, quality and efficiency. The power of the Microsoft cloud enables them to deliver a specific customized forecast in no more than half an hour for approximately 2,500 addresses.