Shulou(Shulou.com)11/24 Report--

Artificial intelligence is the core driving technology. With the continuous iteration of artificial intelligence technology, the supply chain will become more and more intelligent.

With the continuous development of machine vision, autopilot and other technologies, the supply chain will accelerate the transformation, and the supply links which are highly dependent on manual operation in the past will be upgraded to the direction of intelligence.

In this process, artificial intelligence is the core driving technology. With the continuous iteration of artificial intelligence technology, the supply chain will become more and more intelligent.

What is a mature supply chain like?

The transformation and upgrading of the supply chain is the use of technology to optimize every link of products from production to consumer terminals. with the development of technology, we will see the accelerated development of smart factories, intelligent equipment and smart shipping. Machine vision, self-driving and other technologies will play a more and more important role in improving worker safety, optimizing inventory management, reducing maintenance costs and simplifying production processes, helping to intelligentize the whole process of the supply chain.

First of all, in the manufacturing process, the Internet of things sensors in production workshops and factories will be greatly increased, which can be used to predict machine failures through machine deep learning. Especially for the industrial manufacturing industry, reducing machine failures means stable production. In the past, if the machine and equipment failed, it may take a long time to retrieve and then troubleshoot, but depending on sensor and data management, the root cause of the problem can be checked and repaired in time.

When it comes to transportation, autopilot and data transmission will play a greater role. For example, in the past, relying on manual driving heavy trucks to transport goods, manual driving for a long time will lead to driving fatigue, then need to rest, which will undoubtedly affect the transport efficiency. After the autopilot technology is mature, the autopilot heavy truck can drive without gap every day, which will greatly improve the work efficiency, and the autopilot technology will not cause hidden dangers such as fatigue, and can be transported to the destination more quickly and safely.

At the same time, relying on the cloud-driven data freight network, it can provide real-time freight data, and it will be more efficient if it encounters emergencies such as bad weather to help people change and optimize transport routes in time.

Previously, when the goods arrived at the destination, most of them were sorted manually, but in the future, robot sorting and automated transmission will become more popular and will be transmitted to the last link. For example, we can also see that during the peak hours of logistics, due to the large number of parcels, various types and the limited number of couriers, there will be problems such as slow logistics transportation and overstocking of goods, but with the continuous development of technology, these problems will be gradually alleviated.

With the continuous innovation of robot technology, goods can be refined through artificial intelligence, machine vision and other technologies, and robots will also play a greater role in warehousing and transportation.

02. Artificial Intelligence promotes supply chain change

"Science and technology is the primary productive force". To promote the transformation and upgrading of the supply chain is inseparable from the strong support of science and technology, especially the continuous innovation of key technologies such as machine vision, deep learning, big data and cloud computing. It provides a huge imagination space for supply chain reform.

Machine vision, for example, plays an important role in building an intelligent supply chain system. In the production link, quality inspection can be carried out through industrial vision, taking printed matter packaging inspection as an example, content recognition, design proofreading, font size recognition, etc., can be carried out to check whether the packaging meets the standard; in the link of commodity circulation, based on machine vision technology, logistics warehouse links can be rebuilt to help robots carry out patrol inspection, and accurate identification technology can be used to assist robots to grab automatically. In the consumer terminal, especially in some store scenes, through the product picture recognition and in-depth learning, it can help stores to carry out intelligent settlement, integrated marketing and so on.

Machine vision is only a branch of artificial intelligence, magnifying the field of vision, artificial intelligence technology will reshape the supply chain in all directions. According to public data, artificial intelligence will dramatically change the way business operates. It is estimated that artificial intelligence will contribute $15.7 trillion to the global economy by 2030. According to a survey by McKinsey, supply chain management ranks in the top three among the industries that benefit most from artificial intelligence applications. It can be seen that artificial intelligence has a great impact on supply chain upgrading.

Specific to the application, there are a large number of links suitable for artificial intelligence in the supply chain, such as self-driving warehouse trolley, inspection robot and so on, from the production end to the final consumer terminal, can integrate artificial intelligence technology. A large amount of data will be produced in the overall supply process of commodities, and relying solely on manual data processing will undoubtedly increase labor intensity. Through artificial intelligence technology, from data generation to tracking analysis, anomalies can be found in time and detection reports can be generated to continuously improve the supply chain.

At present, there are still a lot of repetitive manual labor in various links, and some of them can be upgraded automatically through artificial intelligence technology, which can also improve operation efficiency and further reduce costs. The autopilot technology mentioned above also has a relatively great impact on the supply chain. At present, in the warehouse storage link, there is still a lot of work to rely on manual work, which can be carried out through the autopilot warehouse cart and so on.

Machine vision, deep learning and autopilot are all based on the development of artificial intelligence and integrate cutting-edge technologies such as big data. In the future, with the continuous development of artificial intelligence technology, it will accelerate the transformation and upgrading of the supply chain.

03. The biggest challenge is still people.

The biggest challenge in the process of promoting the transformation and upgrading of the supply chain through artificial intelligence still comes from people, and it is impractical to rely solely on artificial intelligence to completely replace artificial intelligence. First of all, the personnel involved in each link should ensure that they have the basic skills to understand and use artificial intelligence technology, such as self-driving warehouse trolleys. If the warehousing personnel do not know the basic operation, the self-driving warehouse carts will not receive instructions and will not work well.

In addition, it is necessary to constantly train personnel to enable participants in both upstream and downstream links to have a deep understanding of artificial intelligence. In the whole supply chain system, artificial intelligence is not a completely isolated operation, but needs to be matched with people. Because the artificial intelligence system will also be damaged, it also requires personnel to have a deep understanding of the technology, avoid system problems, and ensure the smooth operation of all links.

The advantage of artificial intelligence is that it can rely on massive data to make more accurate predictions and judgments than human beings. there is a premise here that it needs massive data support, and the data should be of high quality, so it is necessary to provide effective data for the artificial intelligence system through artificial means, otherwise, the judgment made by artificial intelligence may not be accurate and may even mislead people to make decisions.

For example, in the self-driving technology, if this technology does not analyze and learn the massive road conditions, it will be impossible to judge when the vehicle is on the road, and there will be greater safety risks.

The information provided in this article is for general guidance and information purposes only, and the content of this article should not be regarded as investment, business, legal or tax advice under any circumstances.

This article comes from the official account of Wechat: new Research (ID:chuxinyanjiu), author: Feifei, Editor: Tang Shi

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