ABELL and Erun join forces to combine data-driven decision-making and transportation optimization to improve logistics efficiency and customer satisfaction

As competition becomes increasingly fierce, logistics companies have entered the era of stock from the era of incremental growth, and the focus of operations has also shifted from channel operations and product operations to customer operations. Many logistics companies that rely on extensive management are in urgent need of transformation and further focus their business logic on segmented customer operations. However, in actual operations, ABELL found that most logistics companies are powerless, and how to improve work efficiency, increase customer stickiness, and improve asset retention rates have become business challenges faced by many companies. Next, this article uses the latest logistics customer case operated by ABELL to explain both business strategy and business practice.

Data operation is ABELL's core strength. After fully communicating with customers, we provide customers with complete underlying logic. The ABC classification method makes data clear and easy to understand, solving classification problems in warehousing; the EIQ analysis method drives decision-making with data, improves warehousing operation efficiency, and solves the problem of formulating sorting operation methods; the EOQ analysis method sets up an intelligent early warning mechanism to avoid inventory risks and solve the problem of rationalizing warehouse capacity.

The business logic is complete and needs to be put into practice. ABELL adheres to the principle of "one-stop service" and provides customers with a complete operation plan. Then it joins hands with Erun to provide a platform for logistics customers to achieve closed-loop operation. Erun is a company that focuses on providing high-efficiency transportation solutions. It mainly serves the fields of logistics and supply chain management. They have the most complete POS, CRM, and ERP systems. In the customized inventory management system provided to logistics customers, they can realize automatic data collection and real-time update through barcodes, RFID, sensors and other technologies to ensure the accuracy and timeliness of inventory data. Accurate data collection lays the foundation for efficient management.

ABELL believes that with the rapid development of technologies such as the Internet of Things, cloud computing, and big data, intelligent warehousing systems have emerged. Intelligent warehousing systems integrate a variety of technical means such as automated equipment, intelligent algorithms, and data analysis, which can realize the automation, intelligence, and visualization of warehouse management, helping companies to further improve efficiency, reduce costs, and enhance competitiveness. However, in the early stages of transformation or the transition period, self-development or asking ABELL staff to develop a complete system is not cost-effective. Using the "molded system" + "data-enabled operations" on the market is the growth code for most small and medium-sized enterprises to increase their turnover.