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Logistics Technology Information>Logistics Technology Information Detail

The Cainiao Smart Logistics Transportation System is selected as an excellent case of commercial technology innovation application.

Time : Invalid date Category: Logistics Technology Information

Recently, the Ministry of Commerce held a national video conference on e-commerce work, at which outstanding cases of commercial technology innovation and application in 2022 were announced, and Cainiao's smart city delivery logistics system was selected.

Since 2019, Cainiao has been building an artificial intelligence-based smart city logistics big data platform to promote the development of smart logistics in cities.

By applying time and space AI prediction capability to urban logistics prediction problems, Rookie significantly improves timeliness and accuracy of path prediction based on its self-developed deep time and space prediction model, enhancing the quality of delivery services.

In the process of delivering goods to the door, Cainiao comprehensively applies logistics multimodal AI cognitive decision-making technology to the logistics decision-making process in order to enhance the consumer logistics experience. The building code technology of rookies can help deliverymen sort packages in advance based on consumers' buildings, increasing the efficiency of home delivery by 10%. The 'Real On-site Performance Identification Model' ensures the authenticity and effectiveness of express delivery through AI technology. Currently, this technology has been widely used in scenarios such as "Tmall supermarket home delivery" and Cainiao post station home delivery.

It is reported that Cainiao's smart city delivery logistics system has been applied to multiple logistics scenarios such as Cainiao Direct, Cainiao Guoguo Returns and Personal Shipping, and Cainiao Post Station Delivery, effectively improving the operational efficiency of vehicles, couriers, and post station staff. Through capabilities such as order allocation, intelligent packaging, and decision-making, an automated organizational management process has been established, providing the industry with a set of cost-reducing and efficiency-increasing solutions.

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