A supply chain control method based on AI technology, its system and storage medium
A supply chain, management and control technology, applied in data processing applications, instruments, computing, etc., can solve the problems of low store concentration, distortion of inventory at the counter, and internal personnel theft and damage, to ensure the turnover rate of goods and optimize procurement. needs, real-time performance and effects
Inactive Publication Date: 2021-07-09
深圳云行智能科技有限公司
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Problems solved by technology
[0004] (2) Distortion of the inventory at the cabinet and the quantity of replenishment lead to theft and loss of internal personnel and high loss of goods;
[0005] (3) The degree of store concentration is not high, and the points are scattered, resulting in low replenishment efficiency;
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[0043] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0044] Such as figure 1 In the flow block diagram shown, an AI technology-based supply chain control method is introduced, including the following steps:
[0045] S1: Use AI visual recognition technology to read the inventory at the cabinet in real time, and obtain the number of existing commodities Hi at the cabinet, the size of existing commodities on all shelves, the available length of the shelf, and the available width of the shelf. Among them, AI is the English abbreviation, artificial intelligence (Artificial Intelligence). It is a new technical science that studies and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence.
[0046] Artificial intelligence is a...
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The invention discloses a supply chain management and control method based on AI technology and its system and storage medium. The method includes the following steps: S1: using AI visual recognition technology to read the inventory at the cabinet in real time to obtain the information at the cabinet; S2: calculate the commodity Area, the maximum number of cabinets Fi of individual commodities at the end of the cabinet; S3: Calculate the shelf utilization rate Bi, the shelf idle rate Ci, and the number of commodities that can be replenished Di; S4: Obtain the preset shelf utilization threshold Ei and the commodity Replenishment quantity threshold Gi; S5: If Bi≤Ei and Di≤Gi, then add the store at the counter to the list of stores to be replenished; S6: Sort the list of stores to be replenished; S7: Execute replenishment. The supply chain management strategy adopted by the present invention can calculate and maintain the sales time according to the remaining quantity of each product category of the cabinet machine and the historical sales data. If the maintenance sales time is lower than the set value, the replenishment order will be triggered, which reduces the replenishment frequency and man-made. Predictive subjectivity.
Description
technical field [0001] The present invention relates to a supply chain management and control method, in particular to a supply chain management and control method based on AI technology, a system and a storage medium thereof. Background technique [0002] At this stage, the goods damage and delivery cost of unattended retail terminals remain high. The reasons are mainly concentrated in the following points: [0003] (1) The capacity of the cabinet machine is small, the replenishment cycle is short and the frequency is high; [0004] (2) Distortion of the inventory at the cabinet and the quantity of replenishment lead to theft and loss of internal personnel and high loss of goods; [0005] (3) The degree of store concentration is not high, and the points are scattered, resulting in low replenishment efficiency; [0006] In order to solve the above pain points in the industry, the present invention innovates ideas in the operation process, uses AI visual recognition technol...
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IPC IPC(8): G06Q30/02G06Q10/08
CPCG06Q10/083G06Q10/087G06Q30/0202
Inventor 程宏达位海博张慧
Owner 深圳云行智能科技有限公司