View source for 18515777. DEMAND PREDICTION DEVICE, DEMAND PREDICTION METHOD, AND RECORDING MEDIUM simplified abstract (NEC Corporation)

=DEMAND PREDICTION DEVICE, DEMAND PREDICTION METHOD, AND RECORDING MEDIUM=


==Organization Name==

[[:Category:NEC Corporation|NEC Corporation]]


[[Category:NEC Corporation]]

==Inventor(s)==

[[:Category:Naoki Washizuka of Tokyo (JP)|Naoki Washizuka of Tokyo (JP)]][[Category:Naoki Washizuka of Tokyo (JP)]]

[[:Category:Kyohko Akazawa of Tokyo (JP)|Kyohko Akazawa of Tokyo (JP)]][[Category:Kyohko Akazawa of Tokyo (JP)]]

==DEMAND PREDICTION DEVICE, DEMAND PREDICTION METHOD, AND RECORDING MEDIUM - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18515777 titled 'DEMAND PREDICTION DEVICE, DEMAND PREDICTION METHOD, AND RECORDING MEDIUM

==Simplified Explanation==

The patent application describes a demand prediction device that acquires prediction models for both individual products and product categories, calculates the accuracy of demand predictions, and selects the most accurate model for use.

* Model acquisition means: Acquires prediction models for individual products and product categories.
* Calculation means: Calculates the accuracy of demand predictions for individual products and product categories.
* Adoption means: Selects the most accurate prediction model for use based on the calculated accuracy.

== Potential Applications ==
This technology could be applied in various industries such as retail, e-commerce, and supply chain management to improve demand forecasting accuracy.

== Problems Solved ==
1. Inaccurate demand predictions for individual products and product categories.
2. Difficulty in selecting the most suitable prediction model for accurate demand forecasting.

== Benefits ==
1. Improved accuracy in demand prediction.
2. Enhanced decision-making for inventory management and production planning.

== Potential Commercial Applications ==
Optimizing inventory levels, improving supply chain efficiency, and enhancing customer satisfaction through better demand forecasting.

== Possible Prior Art ==
There may be existing demand prediction systems that focus on either individual products or product categories, but the combination of both in a single device for accuracy comparison may be a novel approach.

== Unanswered Questions ==

=== How does the device acquire and update the prediction models over time? ===
The patent application does not provide details on the process of acquiring and updating the prediction models for individual products and product categories.

=== What factors are considered in calculating the accuracy of demand predictions? ===
The application does not specify the specific metrics or criteria used in the calculation of accuracy for demand predictions.


==Original Abstract Submitted==

A demand prediction device of the present disclosure includes a model acquisition means that acquires a single article prediction model that predicts a demand of a target product and a category prediction model that predicts a demand of a category including the target product, a calculation means that calculates accuracy of demand prediction of the target product in the single article prediction model and the category prediction model, and an adoption means that adopts any one of the single article prediction model and the category prediction model based on the accuracy.



[[Category:G06Q30/0202]]