Ocriva for Manufacturing
Digitize Factory Documents — Reduce QC and Procurement Time with AI
Pain Points / Daily Challenges in the Factory
- QC Reports from multiple production lines — each line uses a different form, and some factories still record data by hand on paper. Someone must manually enter each document into the MES or ERP one by one, leading to accumulated errors and difficult traceability.
- COA (Certificate of Analysis) documents — suppliers send them in many formats; some as scanned PDFs, some as photos. Every parameter must be verified individually against internal specs by hand — time-consuming and error-prone.
- Goods Receipt Notes / GRN — when goods arrive at the warehouse, warehouse staff must key data from paper documents into the WMS or ERP, causing delayed stock updates. Quantity or lot number errors are common.
- High volumes of Packing Lists and PO/PR documents — the procurement team receives hundreds of POs per month from customers and must convert them into system data. Doing this manually creates a bottleneck at data entry rather than at the actual purchasing decision.
- No end-to-end traceability — when a quality issue is found on the production line, tracing back to the raw material lot, supplier, or original QC record is difficult because data is scattered across paper and multiple Excel files.
- Compliance and audit reports — when an ISO, GMP, or customer audit cycle arrives, QC documents and COAs going back hundreds of records must be gathered. Finding and sorting them takes several days.
How Ocriva Solves These Problems
For QC/QA Teams and Production Lines
Create Templates separated by document type, define fields and validation rules once:
| Field | Example Validation |
|---|---|
| Lot Number / Batch Number | Format matching the factory's naming convention |
| Manufacturing Date (MFG Date) | Date format, must not be in the future |
| Expiry Date (EXP Date) | Date format, must be after MFG Date |
| Spec Value (Min / Max) | Numeric, validates that test result is within range |
| Test Result (Pass / Fail) | Enum: Pass, Fail, Conditional |
| Material / Product Name | Text field, mapped to material master |
| Quantity / Unit | Numeric + unit (kg, L, pcs, box) |
| Inspector / Approver Name | Text field, audit trail |
- AI automatically extracts every spec parameter from COA and QC reports
- Immediately flags any test result outside the spec range — QC staff no longer need to compare values manually one by one
- Batch upload COAs or QC reports 50 documents at a time — processed in parallel without waiting for each one individually
- Export CSV/XML directly into MES or ERP (SAP QM, Oracle Quality) — no duplicate key-in steps
For Warehouse and Goods Receiving Teams
- Warehouse staff photograph GRNs or Packing Lists → submit via LINE or upload from mobile → Ocriva OCR processes automatically
- Lot, quantity, and unit data enters the WMS within 30 seconds — real-time stock update without waiting for the office
- Webhook notifies ERP automatically when goods are fully received — triggers purchase order matching immediately
For the Procurement Team
- Batch upload POs or PRs from customers dozens at a time — AI extracts part numbers, quantities, prices, and delivery dates into the system automatically
- REST API connects directly to ERP systems (SAP MM, Oracle Procurement), eliminating double-entry between systems
- Create projects separated by supplier or product line — search and compare historical data easily
ROI Calculation
Assuming a factory processes 400 COAs and QC Reports per month:
| Before Ocriva | After Ocriva | |
|---|---|---|
| Time per document | ~4 minutes (read + compare spec + key-in) | ~40 seconds (upload + AI review) |
| Total time per month | 26.7 hours (≈ 3.3 working days) | 4.4 hours |
| Time saved | — | ~22 hours/month |
| Risk of out-of-spec passing undetected | High (human error) | Low (AI + validation rules) |
22 hours/month = time the QC team can redirect to root cause analysis, improvement projects, or supporting additional production lines.
Ocriva cost: starting at ฿729/month — compared to labour costs and the risk of out-of-spec products passing inspection undetected, the value is clear.
Integrations for Factories
| Channel | Use Case |
|---|---|
| CSV Export | Import into MES, ERP, or LIMS (Laboratory Information Management System) |
| REST API | Direct connection to SAP, Oracle, or internal factory systems |
| Webhook → Zapier / Make | Automatically notify the QC team when out-of-spec results are found; update dashboards in real time |
| LINE Integration | On-site staff photograph GRNs or QC records and submit to the system immediately — no need to return to the office |
| XML Export | Export data in ERP-specified formats such as SAP IDOC |
Get Started
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