E-commerce operation method based on intelligent agent

By using an agent-based e-commerce operation method, which generates operation strategies using agents, the problem of slow speed and low efficiency in the existing manual formulation of e-commerce operation strategies is solved. This achieves the timeliness and accuracy of strategies, adapts to market changes, and improves the efficiency of e-commerce operations.

CN121032597APending Publication Date: 2025-11-28SHENZHEN BIT EMERGENCE TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202511177349.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-08-21
Publication Date
2025-11-28

AI Technical Summary

Technical Problem

The current method of manually developing e-commerce operation strategies is slow, inefficient, and inaccurate, making it difficult to cope with the ever-changing market environment.

Method used

An agent-based e-commerce operation method is adopted. By collecting e-commerce operation data, the agent generates the first operation information, and optimizes the current operation strategy based on preset optimization algorithms, constraints and reward functions to generate the target operation strategy.

Benefits of technology

It enables dynamic adjustment of e-commerce operation strategies based on real-time data, improving the timeliness and accuracy of strategy formulation, enhancing the efficiency of strategy formulation, accurately aligning with the current market environment, and improving e-commerce operation results.

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Abstract

The invention provides an e-commerce operation method based on an intelligent agent, and the method comprises the steps: collecting current e-commerce operation data, and transmitting the e-commerce operation data to the intelligent agent according to the type of the intelligent agent; first operation information generated by the intelligent agents based on the e-commerce operation data and the current operation strategy is obtained, the current operation strategy is optimized based on the first operation information, the e-commerce operation data, a preset optimization algorithm, a constraint condition and a reward function, a target operation strategy is obtained, and the current operation strategies corresponding to different intelligent agents are different; and obtaining target operation information generated by the intelligent agent based on the target operation strategy and the e-commerce operation data, and performing e-commerce operation according to the target operation information. The e-commerce operation strategy can be dynamically adjusted according to the real-time e-commerce operation data, the problem that the operation strategy needs to be made manually is effectively solved, the timeliness and accuracy of strategy making are improved, the strategy making efficiency is improved, the current market environment can be accurately fitted, and the e-commerce operation effect is improved.
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