system
The system enhances order prediction accuracy by integrating data collection, analysis, and generative AI to provide interactive consultation for optimal order quantities, addressing inaccuracies in existing systems and minimizing waste.
JP2026107797APending Publication Date: 2026-06-30SOFTBANK GROUP CORP
Patent Information
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- SOFTBANK GROUP CORP
- Filing Date
- 2024-12-18
- Publication Date
- 2026-06-30
AI Technical Summary
Technical Problem
Existing systems for predicting order quantities are subjective and prone to inaccuracies due to the consideration of event and weather information, leading to opportunity loss and waste.
Method used
A system comprising a data collection unit, analysis unit, forecasting unit, and proposal unit that collects event and weather data, analyzes historical sales data, and uses generative AI to provide an agent for interactive consultation on optimal order quantities based on user preferences.
Benefits of technology
Improves ordering accuracy by predicting optimal order quantities considering event and weather information, reducing lost opportunities and waste through interactive user consultation.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure 2026107797000001_ABST
Abstract
The system according to this embodiment aims to predict the number of orders by taking into account event information and weather information, and to propose the optimal number of orders. [Solution] The system according to the embodiment comprises a collection unit, an analysis unit, a prediction unit, and a proposal unit. The collection unit collects event information. The analysis unit analyzes the event information, past sales data, and weather information collected by the collection unit. The prediction unit predicts the number of orders based on the data analyzed by the analysis unit. The proposal unit consults with the user in an interactive manner regarding the number of orders predicted by the prediction unit and proposes the optimal number of orders.
Need to check novelty before this filing date? Find Prior Art