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Patent Searching and Data


Title:
ARTIFICIAL INTELLIGENCE-BASED METHOD AND SYSTEM FOR PREDICTING DEMAND AT STORE
Document Type and Number:
WIPO Patent Application WO/2022/163956
Kind Code:
A1
Abstract:
An operation method of a system for predicting demand at a store may comprise the steps of: obtaining, from a database, existing sales data of a store including reservation history information and visit history information of customers of the store by date; preprocessing the existing sales data of the store; generating multiple store demand prediction models by using multiple preconfigured algorithms obtained by learning the preprocessed existing sales data of the store; determining a store demand prediction model on the basis of an evaluation result of each of the multiple store demand prediction models; and predicting demand at the store by using the determined store demand prediction model.

Inventors:
CHOI HOON MIN (KR)
Application Number:
PCT/KR2021/009022
Publication Date:
August 04, 2022
Filing Date:
July 14, 2021
Export Citation:
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Assignee:
TABLEMANAGER INC (KR)
International Classes:
G06Q30/02; G06N3/04; G06N3/08
Foreign References:
KR20200131549A2020-11-24
KR20010077329A2001-08-17
KR100986624B12010-10-08
KR20190088395A2019-07-26
JP6736530B22020-08-05
Attorney, Agent or Firm:
BAIK, Seungyeob (KR)
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