system

JP2026101931APending Publication Date: 2026-06-23SOFTBANK GROUP CORP

Patent Information

Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
SOFTBANK GROUP CORP
Filing Date
2024-12-11
Publication Date
2026-06-23

AI Technical Summary

Benefits of technology

【0005】 本発明は、外部情報を収集し、その情報に基づいて商品需要を予測するシステムを提供する。具体的には、予測された需要に基づき、動的に商品価格を調整する手段を含むことで、需要変動に応じた最適な価格設定を実現する。また、在庫情報をリアルタイムで監視し、需要予測に応じた物資の補充を提案する機能を備えることで、適切な在庫管理を可能にする。さらに、外部情報として天候情報や地域イベント情報を取り込み、これらを商品需要予測のパラメータとして活用することにより、より精度の高い予測と店舗運営の効率化を可能にした。

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Abstract

We provide the system. [Solution] A means for collecting external information and predicting product demand based on said information, A means for dynamically adjusting the price of a product based on a forecast of the demand for that product, A means of monitoring inventory information and proposing replenishment of supplies in accordance with predicted demand, A means of providing additional functions to streamline store operations based on the collected information, A means of providing information to administrators in real time using smart devices, A means by which managers can review price adjustments and inventory replenishment suggestions based on predicted demand, A system that includes this.
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Claims

1. A means for collecting external information and predicting product demand based on said information, A means for dynamically adjusting the price of a product based on a forecast of the demand for that product, A means of monitoring inventory information and proposing replenishment of supplies in accordance with predicted demand, A means of providing additional functions to streamline store operations based on the collected information, A means of providing information to administrators in real time using smart devices, A means by which managers can review price adjustments and inventory replenishment suggestions based on predicted demand, A system that includes this.

2. The system according to claim 1, which adjusts prices based on pre-registered conditions in response to predicted product demand.

3. The system according to claim 1, which incorporates weather information and local event information as external information, uses them as parameters for forecasting demand for each product, and presents them to the administrator via a smart device.