Mitsubishi Electric’s New AI Forecasts Demand for Appliance Repair Parts
Mitsubishi Electric Corporation has unveiled an innovative AI technology to enhance demand forecasting for repair parts, leveraging its Maisart® AI system. This development aims to rectify over/under-supply issues by improving inventory management and service quality. The new forecasting method shows a remarkable average accuracy improvement of 25.6% over existing models by analyzing specific demand trends for various parts. This advancement is expected to significantly boost operational efficiency and customer satisfaction.
- Improved demand forecasting accuracy by 25.6% through new AI technology.
- Enhanced inventory management and service quality, potentially benefiting customer satisfaction.
- None.
Company's first AI for accurate forecasting will help to strengthen maintenance services
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Product Features
1) More accurate demand forecasting
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By incorporating Maisart AI, demand forecasts for individual parts have been improved on average by
25.6% compared to the company’s existing production–sales–inventory (PSI) planning and management solution, which is based on factors such as seasonally adjusted 12-month shipment-volume averages. Mitsubishi Electric’s new method uses AI learning data on characteristic demand trends for each type of part, such as air filters and controller boards. To forecast demands, the technology clusters trend components, then matches clustered trends to specific repair parts, and finally adjusts the results for seasonal factors.
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