DATA PROCESSING APPARATUS, DATA PROCESSING METHOD, AND PROGRAM

The data processing device employs a learning model to predict future cash balances based on past cache balances and account item data, addressing the challenge of inaccurate cash flow forecasting in existing systems and enhancing funding planning for businesses.

JP7648974B1Active Publication Date: 2025-03-19YAYOI CO LTD
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Patent Information

Application Number
JP2024168398
Authority / Receiving Office
JP · JP
Patent Type
Patents
Current Assignee / Owner
Filing Date
2024-09-27
Publication Date
2025-03-19
Estimated Expiration
2044-09-27

AI Technical Summary

Technical Problem

Existing accounting management systems lack the capability to accurately predict future cash balances for businesses, which is crucial for timely funding decisions.

Method used

A data processing device that utilizes a learning model incorporating past cache balances and corresponding account item data to forecast future cash balances, enabling businesses to anticipate and manage their cash flow effectively.

Benefits of technology

The solution allows for accurate prediction of future cash balances, reducing the risk of financial shortages and enabling businesses to plan funding requirements proactively.

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Abstract

A data processing device, method, and program that contribute to predicting the timing of fund raising are provided. [Solution] A data processing device that acquires business data and accounting data of multiple business operators from an accounting data management device via a network 50 is equipped with a memory unit that stores a learning model in which multiple monthly cash balances in the past before a base month and amounts corresponding to one or more account items in the month prior to the base month are at least explanatory variables, and multiple future monthly cash balances are objective variables, a prediction unit that inputs multiple monthly cash balances in the past before a base month of a target business operator and amounts corresponding to one or more account items in the month prior to the base month into the learning model, and obtains multiple future monthly cash balances output from the learning model as multiple future monthly predicted cash balances of the target business operator, and an output control unit that controls the output of multiple future monthly predicted cash balances of the target business operator.
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