Given the pain points in the vehicle logistics business, such as low efficiency in the circulation of paper waybills, high costs in checking accounts, inability to adapt to the delivery of combined transportation business, the long storage time for paper waybills, and impact of damaged vehicles on the settlement of the whole bill, we establish multi-party trusted E-waybill public ledger through the tamper-proof and distributed block chain technology, to realize vehicle delivery, improvement in dealer receiving process and online reconciliation. The project has been fully implemented in BAIC BJEV, with efficiency in delivery and reconciliation increased by 10% and the time rate of returned orders increased by 100% (without returned orders).

By the use of machine learning and big data analysis techniques, we analyze and learn the data of past orders. According to priority principles such as the urgency of orders, vehicle model, route, loading condition, the least cost, and the shortest distance, we carry out an intelligent combination, allocation, and scheduling on sales orders to achieve the best allocation, the highest transportation efficiency and the best resource matching of orders. At present, the project has been implemented in Beijing Benz, and the efficiency of house B/L is improved by 75% compared with that under the traditional model.