The ability to "see is believe" runs through all aspects of supply chain management
| createtime：2023-08-17 19:03:24 |
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Super busy, but also super excited, the former vice president of IBM China Research Institute, IBM global outstanding engineer, 17 years of cutting-edge digital intelligence technology exploration and practice, and now is the founder of Beijing Xinyuan Technology Shao Ling, this is his biggest feeling in the past three months. Busy is facing the cooperation and exchange of industry head partners and various industrial platforms, as well as lining up to test experience and delivery orders, excited to see that the Broad AI visual perception and analysis ability of AIaaS replacement is becoming the bottom standard capability of the supply chain, and has found a rich landing scene in all aspects of various categories.
Eagle Cloud AIaaS platform: one-stop warehousing logistics AI visual cloud platform
At the beginning of the establishment of Xinyuan Vision Technology, Shao Ling had a clear belief that "seeing is believing" is the bottom configuration of supply chain management, but also the only way to upgrade the supply chain. Over the past year, customers have been saying the same problem, "We have developed a strict process, but as soon as we arrive at the site, we find that the gap is too big", "Is the book data and physical changes really one-to-one correspondence?" Why is there no inventory right, and do not know from which start the problem ", "hundreds of warehouses across the country, thousands of cameras, the vast majority are cooperative warehouses, the video equipment and network structure of each warehouse are different, and 90% of our group's warehouse pictures can not be picked up and can not be used for analysis, how to talk about unified data intelligent control", etc., Xinyuan technology has given a fresh case. Z, a large warehousing operation group, is committed to providing refined third-party warehousing services across the country. More than 50% of the customers are top 500 enterprises and famous foreign enterprises. Xinyuan Technology entered because of a major complaint from an important customer. At that time, Chen said that he stared at the process every day and invested so much money every year to improve and even restructure the process. At the same time, it also allowed parallel access to the customer's ERP system, but there was a complaint, and it took a full 3 days to replay the video frame by frame to find the problem link, the number is wrong, the job library is wrong, the job object is wrong, and the process can still be passed after human intervention. Within a week after the online meeting, the Xinyuanshi team opened a test account for Z Group. In the case of fully using the existing camera, the substitute accurately captured the operation behavior and inventory change events in the hot control area one by one. There was no missing alarm in the test stage, and the false alarm rate was about 10%. The result was much better than Group Z had expected. The official plan given by Xinyuan Vision is to select the existing cameras in the warehouse to quickly access the AIaaS platform of Yingyun Vision, and each camera can designate more than 10 hot areas for independent control of different cargo owners. For each operation and each cargo change within the control, it provides identification from the type and quantity of goods to the mode of operation, and compares and verifies the operation data in the system in real time. Within 1 month after the formal deployment, the false alarm level is reduced to less than 5%, and once new inventory types, job types are identified and interference items are filtered, the training is completed within 1-3 days. What is more interesting is that the two sides have seen the opening of these AI vision capabilities to more third-party service providers and ecological partners, enabling the financing, operation and landing and risk control of more third-party services, which will also form a new revenue model for the group.
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