| I&T Solution |
Image Recognition of Vehicle Parts for Inventory Management and Smart Procurement Solution
(REF: S-1971) |
| Trial Project |
|
| Solution Feature |
- AI Image Recognition: Accurately identifies parts via photos, even when installed.
- Mobile App: Enables on-the-go part search and information access using iOS devices.
- Centralised Web Platform: Streamlines market research, approval workflows, and supplier communication.
- LLM Automation: Generates quotation emails and summarizes supplier replies efficiently.
- Data Hardware Station: Captures standardised part images for high-quality AI model training.
|
| Trial Application and Expected Outcome |
- Pilot with Select Users: Test core features with a controlled user group to gather real-world feedback.
- Real-Scenario Validation: Use actual parts and simulate procurement to assess system performance.
- Measure Key Metrics: Track accuracy, time saved, and user satisfaction to quantify benefits.
- Iterative Refinement: Use trial feedback to fix issues and optimize AI models before full rollout.
- Validate Integration & Security: Test data API connections and ensure compliance with security standards.
|
| Additional Solution Information |
GreenAI_EMSD_EMSD Image Recognition of Vehicle Parts for Market Research Quotation Request and Inventory Management (1) 1.pdf
|
| Info on I&T Solution Provider |
| Solution Provider | : | Green AI Technology Limited | | Address | : | Room 503, 5/F, Building 19W, Science Park West Avenue, Pak Shek Kok, N.T. HK | | Contact Person | : | Mak Hoi Ho |
| Position | : | Chief Innovation Officer | | Tel | : | 96295360 | | Webpage | : | www.greenaitech.com |
|