Mitsubishi Electric’s New AI Forecasts Demand for Appliance Repair Parts
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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