| I&T Solution |
AI-assisted Multi-Appliance Data Submission Analysis System for MEELS
(REF: S-2104) |
| Trial Project |
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| Solution Feature |
- A centralized AI-assisted intake platform for MEELS submissions, supporting manual upload, API-based submission, DMS/e-submission import, and SMTP/email intake where interface specifications are available.
- Automatic document classification to identify Form 1, appliance appendix, test report, Business Registration Certificate, laboratory certificate, laboratory scope and supplementary documents, with company chop and signature detection for scanned submissions.
- Configuration-first extraction workflow using OCR, VLM/LLM and table-aware processing to convert printed, handwritten and semi-structured content into reviewable structured data.
- Appliance-specific workflow packs apply relevant extraction fields, calculations, cross-document checks, certificate-validity checks and alert logic for selected appliance types, while reusing a common core engine.
- Officer review interface, dashboard, controlled self-learning workflow using correction memory, error analytics and approved prompt/rule refinement, plus draft summary/correspondence generation and structured export.
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| Trial Application and Expected Outcome |
- Run a pilot batch of selected MEELS appliance applications, such as LED lamps, air-conditioners or washing machines, subject to confirmed sample availability and user priorities.
- Validate automatic classification and routing of mixed submissions into the correct appliance workflow, including different appendices, supporting-document combinations and scanned chop/signature detection where applicable.
- Target overall accuracy of 95% or above for agreed trial scenarios, with detailed measurement by document type, field type, appliance category, scan quality and criticality.
- Demonstrate a web-based review workflow with source evidence, mismatch alerts, correction logging and controlled learning outputs for future prompt, rule, workflow and model refinement.
- Assess integration readiness for API exchange, certificate validity checking, e-submission/DMS import, SMTP/email intake, validated data export and draft summary/correspondence generation.
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| Additional Solution Information |
EMSD-Automated Data Extraction for Energy Label Application-Proposa-Datax-20260609.pdf
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| Info on I&T Solution Provider |
| Solution Provider | : | Datax Limited | | Address | : | 10A, Wang Kwong Industrial Building, 45 Hung To Road, Kwun Tong, Kowloon | | Contact Person | : | Fung Siu Hin |
| Position | : | Account Director | | Tel | : | 91438473 | | Email | : |
aric.fung@datax.io | | Webpage | : | https://datax.io/ |
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