Traditional logistics dilemma: high cost and poor time efficiency
In the past, the transportation of goods from China to Africa often faced many challenges. Due to the large differences in infrastructure among African countries and the imperfect logistics network, traditional logistics planning methods are difficult to balance cost and time efficiency. For goods departing from eastern ports in China, if direct flights are chosen, the transportation time can be shortened, but some routes have high freight rates due to the small number of ports and large fluctuations in transportation demand; while choosing to transit through Southeast Asia or Europe, although mature logistics networks can be used to reduce costs, the transportation cycle is lengthened, affecting the timeliness of goods delivery. According to statistics, the average transportation time of goods from China to Africa in the past exceeded 30 days, and the logistics cost accounted for 15% - 20% of the value of the goods, which seriously restricted the development of trade.
AI "Logistics Routing Brain": Accurate planning, intelligent decision-making
This "Logistics Routing Brain" relies on powerful AI algorithms and massive logistics data to realize intelligent routing planning. The system first collects multi-dimensional data such as global ports, routes, transportation tools, customs policies, etc. to build a huge logistics database. When there is an order sent to Africa, the AI algorithm quickly analyzes information such as cargo attributes, destinations, and delivery times, and combines real-time logistics market dynamics such as shipping schedules and freight fluctuations to select the best "curve out to sea" solution from thousands of possible paths. For example, for a batch of electronic products shipped to the Port of Mombasa, Kenya, the "Logistics Routing Brain" calculated and recommended that they be shipped from Shanghai Port to Singapore for transit, and then take a feeder ship that is consolidated with other goods to Mombasa, while ensuring delivery within 20 days, while reducing logistics costs by 25%.
The actual results are remarkable and the industry has broad prospects. At present, many cross-border logistics companies have applied the "Logistics Routing Brain". Data shows that after using the system, the logistics cost of orders from China to Africa has been reduced by an average of 18%, the transportation time efficiency has been improved by 35%, and the on-time delivery rate of goods has jumped from 70% to 90%. The head of a logistics company said: "AI makes our logistics planning more scientific, wins more customer trust in the African market, and the business volume has increased by 30%." As AI technology continues to mature, the "Logistics Routing Brain" is expected to be further optimized and expanded to more regions and logistics scenarios, injecting strong impetus into the cost reduction and efficiency improvement of the global cross-border logistics industry, and promoting more efficient development of international trade.
