| I&T Solution |
AI Vehicles’ Spare Parts Inventory Control System
(REF : S-1251)
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| Trial Project |
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| Solution Feature |
- The system will be utilizing NLP technologies to extract specific data through keywords into a structured format for subsequent handling for the purpose of prediction training.
- The system should be able to compare new predictions with past records and generate a confidence score for operator/engineer reference.
- The system will be able to provide a reminder of the inventory level for the operator/engineer reference.
- The system should be able to fulfil the intelligent procurement plans in accordance to Store Procurement Regulation.
- The solution shall be able to analyze the data in existing Corporate Computer System.
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| Trial Application and Expected Outcome |
- Achieve data correlation among vehicle models, types and frequency of maintenance activities, replacement of spare parts
- Employ just-in-time (JIT) procurement strategy to improve the inventory turnover rate and minimize the inventory hoarding in the warehouse.
- Avoid shortage of spare parts to repair the vehicles.
- Enhance the operation efficiency on spare parts procurement and planning by forecasting the demands of different spare parts.
- Develop an ever-improving prediction model.
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| Info on I&T Solution Provider |
| Solution Provider | : | Datax Limited |
| Address | : | Innocentre, Lion Rock 72, 1/F, 72 Tat Chee Ave, Kowloon Tong |
| Contact Person | : | Yu Shun Kit |
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Position | : | Project Management Trainee
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Tel | : |
64339899
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Email | : |
calvin.yu@datax.io
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Webpage | : |
https://datax.io/
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