Revealing the Secret of How the Logistics Industry Uses Big Data to Fight Double Eleven

Revealing the secret of how the logistics industry uses big data to compete in Double Eleven

As Double Eleven is approaching, I wonder if your shopping cart is full? This year is already the seventh year of Double Eleven. Major e-commerce companies have also launched advertisements early to compete for consumers. Taobao's advertisements are also pervasive. It seems reasonable to break last year's record of 500 million packages.

Revealing how the logistics industry uses big data to compete on Double Eleven

Double Eleven is the busiest time for the logistics industry every year. According to the prediction of the State Post Bureau, this year’s Double Eleven for the entire industry "Express delivery volume will reach 760 million pieces, an increase of 40% over last year; the maximum daily processing volume may exceed 140 million pieces.

In order to cope with the huge number of express delivery, many logistics industries have recruited in advance after learning from the lessons of previous labor shortages. Even at the end of September, some companies were preparing for Double Eleven. According to statistics, only ordinary people The demand for online part-time job recruitment related to logistics and express delivery has increased by 45%.

Major logistics companies have other countermeasures. Zhongtong has completed the renovation and expansion of more than 4,000 sites across the country, adding 4,100 vehicles ahead of schedule. YTO has even purchased transfer flights for distribution. In addition, applying big data to the logistics industry is also a powerful tool to improve logistics efficiency and reduce costs. 2 Big data can optimize transportation routes

Big data can optimize transportation routes

The traditional delivery method is for the courier to plan the route himself, but if there is congestion on the frequently used road, it will be wasteful. Time also consumes costs. However, UPS delivery personnel do not need to think about whether the delivery route is optimal because UPS uses the Orion system to analyze 200,000 possible routes in real time and find the best route in 3 seconds.

UPS uses big data analysis to select the lowest-cost and most efficient route for delivery personnel. According to data from previous years, because of this system, UPS trucks can deliver more goods while reducing the distance traveled by 204 million. 350,000 packages were shipped.

In the future, through the use of big data, the efficiency of logistics transportation will be greatly improved. Big data will build a communication bridge between logistics companies, and the driving paths of logistics vehicles will also be minimized and optimized. 3 Big data can help predict and optimize inventory

Big data can help predict and optimize inventory

Through changes in Internet technology and business models, many online stores now skip dealers and go directly to Send goods directly from the factory to customers, use big data to continuously optimize inventory structure and reduce inventory storage costs, use big data to analyze product categories, and the system will automatically call which products are used for promotion and which products are used to attract traffic.

Just like the pre-purchase method now used on Double Eleven, consumers pay a deposit to buy in advance. Merchants not only have funds to inventory in advance, but also can estimate how many goods can be produced to ensure supply, and can judge the current goods at the moment. Safety stock, instead of predicting current inventory status based on sales in previous years, reducing inventory.

In the past, supply determined demand. In the future, we will increasingly start from demand and work backwards, redesigning the arrangement of corresponding supply points according to the demand pattern. These are all changes brought about by the advent of the big data era.

Big data can also optimize logistics distribution vehicles and allocate the optimal number of equipment to outlets to avoid resource waste; big data can also collaboratively manage the supply chain to find optimal solutions to production and supply problems. plan. After a period of development, after big data is maturely applied to the big data logistics industry, maybe our express delivery can be delivered to us in minutes.

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