Sushijie Logistics(Suzhou) Co., LTD
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Logistics distribution management: What are the secrets to improving transportat
Many people think that distribution is delivery, but as the logistics industry gradually develops and has a variety of forms, compared with traditional sales-type delivery, delivery belongs to a special form of delivery from the logistics base to the user. Logistics distribution is not simply the transportation or delivery of goods to a certain place, but a closed-loop logistics distribution operation activity from the user orders to the warehouse to distribute goods, dispatch vehicles, arrange transportation, and finally deliver to the user.
Distribution is very important in the entire logistics process. It is not simply transportation, distribution, delivery, but according to user requirements, the goods are selected, processed, packaged, divided, assembled and other operations, and delivered to the designated place on time. In addition to the various "shipping" and "delivery" mentioned above, the distribution process will also involve the confirmation of goods, sorting, picking, distribution, loading, etc. We often say that delivery is only a small part of the transportation activities in the logistics distribution supply chain, which can be called "secondary delivery", "branch delivery", and "terminal delivery".
Then, to do a good job in logistics distribution management and improve the efficiency of enterprise distribution, the following three points can be considered:
1. Use advanced technology
Enterprises should choose a more advanced management system, which can make our work more efficient. For example, the warehouse management system (WMS) is very important for the turnover rate of goods; the transportation management system (TMS) mainly manages the coordination and monitoring of goods during transportation; the order management system (OMS) mainly refers to the ability to quickly process user orders.
There are many management systems of this type on the market today. They have different functions and different emphasis. Therefore, first of all, we should know what problems we need to solve in order to find the most suitable management system. In addition, because each company's business model is different, many general-purpose logistics distribution systems do not fully meet their own needs. In addition to the general version, Tukawa Technology also supports customization of special needs, such as special form analysis, data submission, business type, operator development, etc.
2. Connect all relevant personnel
A large amount of automated data tracking will greatly improve our logistics and transportation efficiency, but in addition to data collection and tracking, only those who connect these systems and equipment can work more effectively. Therefore, in the business design, warehouse personnel, dispatchers, drivers, stores / consumers, and other management personnel must be fully connected.
The information in the logistics transportation process changes in real time, and the quickest response ability explains the transportation efficiency to a certain extent. If special circumstances occur during the delivery process, such as the warehouse is out of stock after the user places an order, if the warehouse personnel and the driver are not docked in time, the driver will run away or the user will not be satisfied with the goods. Or the user's temporary refund and replacement of goods will invisibly consume enterprise resources and reduce transportation efficiency.
3. Big data analysis
Big data is closely related to the system algorithm. Every information node in the distribution process will be stored in the background database by the system, which is convenient for personnel management, monitoring and analysis. Enterprise managers can predict the data changes in advance and adjust the business direction.
The role of big data cannot be underestimated. On the one hand, it connects users, improves the experience of distribution services by better meeting the diversified needs of users, and thus promotes business improvement; on the other hand, it connects suppliers and optimizes supply chain logistics in depth Management level and operational efficiency.
Big data analysis can specifically help companies achieve business data analysis, assist in decision-making, or ultimately determine strategic directions. For example, according to user big data analysis, they can predict the sales demand for mainstream single products in each district of the core city and pre-ship at each site And other measures.