CN-122022314-A - Interlocking store operation management system based on intelligent wind control and intelligent scheduling AI model

CN122022314ACN 122022314 ACN122022314 ACN 122022314ACN-122022314-A

Abstract

The invention relates to the technical field of operation management of interlocking stores, in particular to an operation management system of the interlocking stores based on an intelligent wind control and intelligent scheduling AI model, which comprises an basic archive management module of the interlocking stores, an operation instruction management module of the interlocking stores, an operation rule management module of the interlocking stores, a commission management module of staff of the interlocking stores, a clothing display management module of the interlocking stores and an intelligent operation management module of the interlocking stores, wherein the modules work cooperatively and realize intelligent operation management of the stores by combining with an AI large model; the intelligent wind control system realizes information real-time sharing through data centralized management, reduces manual data input and query time, optimizes operation instruction distribution by an intelligent scheduling AI model, improves instruction execution efficiency, shortens approval time by an online approval process, improves overall store operation efficiency, early warns inventory risk and operation risk by an intelligent wind control algorithm, reduces resource waste and loss, optimizes parameters and strategies by the AI large model, and reduces operation cost.

Inventors

ZHOU MENGJIA
HU YULEI
KE ZHICHAO
YANG CHENHUI

Assignees

苏州司南观星数据科技有限公司

Dates

Publication Date: 20260512
Application Date: 20260128

Claims (10)

1. The interlocking store operation management system based on the intelligent wind control and intelligent scheduling AI model is characterized by comprising an interlocking store basic file management module, an interlocking store operation instruction management module, an interlocking store operation rule management module, an interlocking store staff commission management module, an interlocking store clothing display management module and an interlocking store intelligent operation management module, all the modules work cooperatively and are combined with an AI big model to realize intelligent operation management of the stores, wherein the interlocking store basic file management module centrally manages basic information of the interlocking store to provide basic data support for subsequent operation management, the interlocking store operation file management module collects and manages data in the process of store operation to provide a data basis for operation analysis and rule formulation, the interlocking store operation instruction management module is based on the intelligent scheduling AI model to realize automatic generation, allocation, scheduling and tracking of operation instructions, and support mobile terminal operation, the interlocking store rule management module is configured and manages various rules in the store operation process, the automatic customization and dynamic updating of the supporting rules are combined with the AI big model to provide basis, the interlocking store basic information is automatically preset, the interlocking store operation file management module collects and manages data in the process of the interlocking store operation file management module to realize real-time optimization of the operation analysis and the operation command formulation of the intelligent operation rules, and the intelligent operation management system is combined with the intelligent operation management scheme of the interlocking store operation command management module, and the intelligent operation management module is based on the intelligent scheduling AI model, and the intelligent operation management system is optimized.
2. The linked store operation management system based on the intelligent wind control and intelligent scheduling AI model of claim 1, wherein functions of the linked store intelligent operation management module comprise data acquisition and integration, AI large model analysis and scheme generation, intelligent wind control and risk prompt, scheme pushing and execution tracking.
3. The system for operation management of a linked store based on intelligent wind control and intelligent scheduling AI model as set forth in claim 2, wherein for data collection and integration, various data of six modules including basic archive management, operation archive management, job instruction management, operation rule management, employee commission management and clothing display management of the linked store are collected in real time, and the collected data are cleaned, converted and integrated to form a unified operation data warehouse.
4. The interlocking store operation management system based on the intelligent wind control and intelligent scheduling AI model of claim 2, wherein the AI large model based on a transform architecture is adopted for AI large model analysis and scheme generation, and the model is trained through operation data of the clothing retail interlocking store and has data analysis, trend prediction and scheme generation capability.
5. The linked store operation management system based on the intelligent wind control and intelligent scheduling AI model of claim 2, wherein for intelligent wind control and risk prompt, an intelligent wind control algorithm is integrated, potential risks are identified by monitoring store operation data in real time, and the risk prompt is timely sent.
6. The interlocking store operation management system based on the intelligent wind control and intelligent scheduling AI model of claim 2, wherein for scheme pushing and execution tracking, parameter optimization schemes, instruction optimization suggestions and strategy adjustment schemes generated by the AI large model are pushed to corresponding management modules and management staff, and the management staff can select adoption or adjustment schemes according to actual conditions.
7. The linked store operation management system based on the intelligent wind control and intelligent scheduling AI model of claim 3 wherein the six modules of each type of data comprise store base information, operation data, instruction execution data, rule configuration data, commission data, and display data.
8. The linked store operation management system based on the intelligent wind control and intelligent scheduling AI model as set forth in claim 4, wherein the model takes data in an operation data warehouse and rules of each module as input to perform parameter optimization schemes, instruction optimization suggestions and strategy adjustment schemes.
9. The interlocking store operation management system based on the intelligent wind control and intelligent scheduling AI model of claim 5 wherein the potential risks include job risks, inventory risks, display risks, personnel risks.
10. The linked store operation management system based on the intelligent wind control and intelligent scheduling AI model of claim 6, wherein after the scheme is adopted, the system automatically decomposes the scheme into specific operation instructions or rule adjustment instructions, sends the specific operation instructions or rule adjustment instructions to related modules for execution, tracks the execution progress and effect of the scheme, and feeds back the scheme execution condition in time.

Description

Interlocking store operation management system based on intelligent wind control and intelligent scheduling AI model Technical Field The invention relates to the technical field of operation management of interlocking stores, in particular to an operation management system of an interlocking store based on an intelligent wind control and intelligent scheduling AI model. Background The operation and management of interlocking stores in the current clothing retail field mainly depends on the scheme of combining the traditional decentralized management mode with basic informatization tools. In the aspect of store basic information management, an Excel table or a simple ERP sub-module is adopted to record store basic information, personnel information and the like, information storage is scattered, inquiring and updating are needed to be manually operated, business peak and valley time, operation productivity and other data are mostly recorded by store long experience, a system acquisition and analysis means is lacked, operation instruction management is mainly manually conveyed, instructions are issued in modes of telephone, weChat and the like, execution progress of the instructions is difficult to track in real time, an approval process also needs online paper signature, efficiency is low, operation rule management is used for making unified fixed rules, such as unified personnel scheduling rules and display rules, regional differences of different stores, passenger flow characteristics and other personalized factors are not considered, staff commission management needs financial staff to manually calculate according to sales data, calculation errors easily occur, staff cannot see commission details in real time, clothing management depends on a display operator's personal experience scheme, effect feedback after the scheme is implemented lacks data support, the whole operation management is lacked in intelligent analysis and early warning mechanism, and risk avoidance is not possible to be carried out in advance after problems occur. The current technology of the interlocking store operation management system has the following disadvantages: 1) The data are scattered and the utilization rate is low, namely various operation data of a store are scattered in different tools or systems, so that the data intercommunication sharing cannot be realized, the complete operation data image is difficult to form, the data value cannot be fully mined, and effective support cannot be provided for operation decisions. 2) The operation scheduling efficiency is low, the operation instruction transmission and approval are dependent on manual work, the flow is complicated, the instruction execution progress is opaque, the situation of instruction delay and omission is easy to occur, the scheduling scheme cannot be flexibly adjusted according to the real-time operation condition of a store, and the operation efficiency of the store is affected. 3) The operation rules lack of flexibility and pertinence, namely the unified fixed operation rules cannot adapt to the different demands of different stores, such as different business peak-valley time and different consumer group preference of the stores in different areas, and the fixed operation rules can cause resource waste or insufficient service to influence the operation effect of the stores. 4) The display management is high in subjectivity and difficult to evaluate, the clothing display depends on personal experience, scientific data basis is lacked, after the display scheme is implemented, effect data cannot be timely and accurately collected and analyzed and evaluated, the display scheme is difficult to continuously optimize, and clothing sales transformation is affected. 5) The commission calculation is easy to be error and has low transparency, the manual commission calculation is not only low in efficiency, but also easy to generate calculation errors due to data statistics errors, rule understanding deviation and the like, and staff cannot inquire the commission calculation process and result in real time, so that the work enthusiasm of the staff is reduced. 6) The intelligent wind control and optimization capability is lacking, potential risks in the store operation process, such as service quality reduction caused by insufficient operation productivity, brand image damage caused by display violations and the like, cannot be monitored in real time, an optimization scheme cannot be intelligently generated according to operation data, and the intelligent level of operation management is low. In view of this we propose a linked store operation management system based on intelligent wind control and intelligent scheduling AI model to solve the existing problems. Disclosure of Invention The invention aims to provide an interlocking store operation management system based on an intelligent wind control and intelligent scheduling AI model, so as to solve the problems in the b