Distribution Cost Effect Estimation for Demand Forecast Accuracy
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Solution Overview
Problem
Existing demand prediction technologies lack the ability to present the specific effects of improved accuracy in a comprehensible manner to users, hindering effective decision-making in product distribution strategies.
Innovation Solution
An information processing apparatus and method that acquires current status and assumed information related to product distribution costs, estimates the effect of improved demand prediction accuracy as a monetary amount, and outputs this effect in a comprehensible format using an estimation model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If demand prediction accuracy is improved, then the effectiveness of product distribution strategy is enhanced, but the ability to present specific effects to users in a comprehensible manner is insufficient
Solution Approach 1:
The patent introduces an effect amount calculation unit that acts as an intermediary between the demand prediction accuracy improvement and the user. This unit calculates and quantifies the specific effects (e.g., cost reductions, profit increases) as monetary values, making the abstract improvement in prediction accuracy comprehensible and tangible for users in business decision-making contexts.
2Loss of information
If the effect amount is calculated and presented, then user comprehension is improved, but the system complexity increases
Solution Approach 1:
The patent divides the system into distinct functional units: a demand prediction accuracy calculation unit, an effect amount calculation unit, and a presentation unit. This segmentation allows each unit to perform its specific function independently, managing complexity through modular design while still providing comprehensive effect presentation to users.
3Measurement precision
If current status information and assumed information are acquired and processed, then the accuracy of effect estimation is improved, but the information processing time and computational resources increase
Solution Approach 1:
The patent acquires current status information and assumed information in advance before performing the effect amount calculation. By preparing and storing this data beforehand, the system reduces the computational burden during the actual effect estimation process, thereby reducing processing time while maintaining high estimation accuracy.
Data Source
AI summary
An information processing apparatus includes at least one memory storing instructions, and at least one processor configured to execute the instructions to: acquire current status information related to a current status of cost related to distribution of a product, acquire assumed information including accuracy improvement information indicating a degree of improvement assumed for demand prediction accuracy regarding the product and current status improvement information indicating a degree of improvement assumed for the current status information, and estimate an effect amount indicating an effect due to improvement in the demand prediction accuracy as an amount of money based on the current status information and the assumed information.