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Logistics control system and method with artificial intelligence

A technology of artificial intelligence and control method, applied in the field of intelligent logistics, can solve problems such as insufficient utilization of resources, and achieve the effect of reducing space waste

Pending Publication Date: 2019-11-01
JIANGSU BZISLAND INTELLIGENT TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, consumer demand varies from place to place, and consumer group preferences vary from region to region, storing the same type and quantity of clothing in each warehouse may result in underutilization of resources

Method used

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  • Logistics control system and method with artificial intelligence

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Experimental program
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Effect test

Embodiment 1

[0023] A logistics control system equipped with artificial intelligence, including a cloud system module, a data acquisition module, and a graphical display module, wherein the cloud system module includes a master server and a backup server, and the master server and the backup server include A data collection unit, a data calculation unit and a data analysis unit.

[0024] Furthermore, the region and the products ordered by customers in each region are uploaded to the main server as features, and the main server builds a prediction model with the collected information, and the staff promptly configures the goods in the corresponding region’s warehouse with the same goods as the model’s prediction results. There is only one working between the server and the standby server at the same time and the data is synchronized in real time. When the failure of the primary server is detected, the standby server becomes the primary server.

[0025] Through the above technical solution, ...

Embodiment 2

[0033] A logistics control system equipped with artificial intelligence, more specifically, clothing including shirts for men, dresses for girls and sneakers for children. Warehouses include Shanghai Warehouse, Beijing Warehouse, and Chengdu Warehouse. The warehouse and the corresponding clothing sales volume are put into the supervised learning algorithm as the training data set, and the weight is calculated to obtain the model. It is predicted that the Shanghai Warehouse should store 100 pieces of men’s shirts, 120 sets of girls' dresses, 140 pairs of children's sports shoes, Beijing warehouse should store 200 pieces of men's shirts, 220 sets of girls' dresses, 240 pairs of children's sports shoes, Chengdu warehouse should store 300 pieces of men's shirts, 320 sets of girls' dresses, and 340 pairs of children's sports shoes . If you find that there are only 10 men’s shirts in the Shanghai warehouse, you should pre-order enough shirts in advance. If you find that there are 1,...

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Abstract

The invention relates to the field of intelligent logistics, discloses a logistics control system and a logistics control method with artificial intelligence. The invention solves the technical problem of intelligently calculating the cargo allocation quantity of each warehouse. The data of regions and clients in each region are used as features. Multiple historical data features are used as a training data set to train a prediction model. The prediction model can predict the number of each kind of clothes stored in each region warehouse. A worker can configure a corresponding number of garments in a corresponding warehouse in advance. The storage space can be fully utilized according to preferences of consumers. The situation of space waste is reduced. The prediction model is a supervisedlearning algorithm in the field of machine learning. When the sales volume of products in each region changes, the information is fed back to the model for adjustment purpose. The model is updated intime. The supervised learning can calibrate the model for real-time purchase data. The prediction model is continuously optimized.

Description

technical field [0001] The present invention relates to the field of intelligent logistics, more specifically, it relates to a logistics control system and method with artificial intelligence. Background technique [0002] Modern people are busy with get off work and have no time to go to the mall to buy clothes after work. Therefore, e-commerce rises in time, allowing people to judge whether they meet their needs through the pictures of clothes and the display of models on the Internet, which greatly reduces the cost of buying clothes. Time costs. For clothing manufacturers, physical stores are no longer needed, and only need to store warehouses for delivery, which greatly reduces rental costs. [0003] Nowadays, in order to improve logistics efficiency, many large-scale clothing manufacturers have set up warehouses in various regions of the country. After buyers place orders online, they will ship from the nearest warehouse, reducing the time for goods to reach buyers. ...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q10/08G06Q30/02
CPCG06Q10/06315G06Q10/0875G06Q30/0201
Inventor 赵峥来
Owner JIANGSU BZISLAND INTELLIGENT TECH CO LTD
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