Prediction of Vehicles’ Spare Parts Inventory Control using Artificial Intelligence Technology

I&T Solution	Prediction of Vehicles’ Spare Parts Inventory Control using Artificial Intelligence Technology (REF : S-1252)
Trial Project
Solution Feature	SAP Data Extraction - Extracting data regarding vehicles, their spare parts, and maintenance schedule. Data Analysis and Trend Identification - Data analyzed by the AI system and clusterized based on the ABC-XYZ technique and Copy Past Period algorithm. Demand Forecasting - Machine Learning Model built for estimating the demands for different spare parts and generating a predictive analysis based on Just-in-Time strategy. Procurement List Generation - A suggested procurement list is developed based on the ML algorithm which allows a smart estimation of the optimal order quantity and allows customisation of the limits with change in market trends. Automated Machine Learning Training - New dataset imported will be automatically used for model training. Future prediction will be adopted with the updated model.
Trial Application and Expected Outcome	Minimizes manpower from data preparation and consolidation by saving time from inspection Enhances user experience with interactive user interfaces Uses consolidated historical datasets to provide accurate prediction which helps in improving inventory turnover rate, minimizing the inventory hoarding in the warehouse and avoiding shortage of spare parts to repair the vehicles The solution is suggested with keeping the changes in Government Fleet Management & Service demands in mind
Additional Solution Information	W-0420_Prediction of Vehicles’ Spare Parts Inventory Control using Artificial Intelligence Technology.pdf
Info on I&T Solution Provider	Solution Provider : Kodifly Limited Address : 香港九龍觀塘偉業街118號啟迪中心6樓609室 Contact Person : Lawrence Wong Position : COO Tel : 51463516 Email : lawrence@kodifly.com Webpage : https://www.kodifly.com/

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