Artificial intelligence in delivery technology

There are many reasons to believe that now is a ripe time to apply artificial intelligence - Artificial Intelligence (AI) for logistics.

The AI ​​was first mentioned in 1956 by a group of Dartmouth scientists, USA. Since then, artificial intelligence has always been in the imagination and the subject of lively discussions of many laboratories. The AI ​​took the first steps, from the first chatbot invented by MIT in 1964, to Apple's Siri in 2011 and recently the Google AlphaGo robot defeated the World Go chess champion Lee Sedol in 2016.

AI is so widespread in everyday life that many people don't even realize they're paralleling artificial intelligence. Early AI words such as computer gaming software, to more radical AI forms such as facial recognition on social networks, people are moving toward a more convenient and rich future with support aid of artificial intelligence. Gradually, from meeting the needs of simple entertainment, AI enters factories and is moving towards serving human production.

Like many other service industries, there are many reasons to believe that now is the best time for the shipping industry to embrace AI. This technology has never been accessible at such an affordable price. This makes AI no longer a distant part of the world, this technology has been and is being implemented in Vietnam.

The field of delivery with specific operation based on a huge information network, is an ideal field for developing and replicating AI. The survival of logistics companies depends on this information network, under a myriad of pressure on profitability, reasonable use of capital and limited processing time. Artificial intelligence can harmonize and coordinate this network in a smooth way to a level of efficiency that cannot be achieved by human thought alone. With AI, the logistics industry has the ability to reposition consumer behavior, increase chain productivity, forecast market trends, and above all, bring standardized services to a new level - customized reason for each customer.

According to the 2018 report on the application of artificial intelligence in the logistics industry of IBM and DHL, AI can be applied in almost every aspect of a supply chain - from processing and data mining, System analysis to line automation. The report also said that in the future companies that decide not to adopt AI are at risk of obsolescence, when competitors are able to catch and effectively use AI in their business.

In Vietnam, Ship60 is one of the few units currently applying artificial intelligence to delivery services. This technology delivery startup is built by Vietnamese engineers who have worked long time with major logistics companies around the world. Ship60 is applying AI at many important stages such as analyzing transport routes and controlling information systems. With AI and the support of Big Data, the Ship60's delivery app has the ability to analyze and suggest the most optimal transport route, saving time for shipper and customers. According to Tran Huynh Huy Phuong, Product Manager of Ship60, "This can be achieved through the development of AI algorithms, input data are operational processes that have been standardized by experience and position. human mind, weather data, traffic conditions, etc. "

After each package is shipped to the recipient, all data of the package transport such as route, delivery time, weather or traffic condition is recorded into the system. Compared to the traditional delivery model, using AI saves a tremendous amount of time - so the Ship60 is also one of the first confident startups with a 60-minute number - a speedy delivery figure. In the past two years, many delivery services have just stopped at delivery during the day.

With the traditional model, the manpower of 100, or 1000 people, will not be effective enough to build a separate service for each customer. AI and Big Data applications, technology delivery enterprises such as Ship60 can build a 'tailor-made' model, tailor-made for each customer - and that is also the predicted destination for the logistics industry, when the service does not stop at mass application for the majority but towards high-end service, serving individuals - Mr. Phuong concluded.