Delivery: artificial intelligence and big data improve delivery efficiency

10/09/2019

 

China, to make the best use of artificial intelligence in the delivery sector, will start building around 15 national logistics hubs this year

 

 

Artificial intelligence is becoming increasingly familiar and, above all, predominant in the delivery sector. Suffice it to say that ten Chinese workers took about 8 hours to sort 15,000 packages, while a robot completed the work in two hours. This scenario has already become a reality in logistics services.

The use of AI and big data in the delivery industry could better allocate relevant resources and services, while helping companies become smart and digital. This was confirmed by experts in the 2019 World Conference on Artificial Intelligence (WAIC).

 

Big data will simplify work and bring greater savings

 

Big data, seen from the customer’s side, makes it more convenient to claim parcels by means such as facial recognition technologies. A community in the city of Shenzhen, in southern China, for example, has adopted facial recognition technologies that allow residents to claim their packages by scanning their faces if they forget their passwords.

The researchers also estimated that, as logistics efficiency increases in the European Union from 10% to 30%, costs will be saved from 100 to 300 billion euros. A great advantage, therefore, also in economic terms, with proceeds that could be used to search for cutting-edge machinery.

 

China’s e-commerce platforms are not new to heavy investments in the logistics sector

 

China, in order to make the best use of artificial intelligence in the delivery sector, will begin to build around 15 national logistics hubs this year, according to an implementation plan published by the National Development and Reform Commission and the Ministry of transport.

The move will strengthen the coordination of modern logistics and production, gathering together the logistic resources. The improvements will go from strengthening efficiency to reducing costs, up to improving competitiveness and promoting the development of the manufacturing sector.

Moreover, China’s e-commerce platforms are not new to heavy investments in the logistics sector, especially in the new generation. Alibaba, for example, has relied heavily on Cainiao – so much so as to arrive in Spain with a service dedicated to Iberian post offices – that uses as many as 700 robots from the automated guide (AGV) to process orders.

JD.com, on the other hand, has developed different delivery solutions thanks to drones or cars with autonomous driving. The future of delivery, especially in China, therefore passes through the development of new technological solutions such as IoT, IA and 5G.

 

 

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