Azure AI Document Intelligence - Centric Integration and Automation

Common Integration Use Cases Between Azure AI Document Intelligence and Centric

1. Automated supplier document intake into product development records

Flow: Azure AI Document Intelligence ? Centric

Supplier-submitted PDFs, spec sheets, compliance forms, and technical documents are captured by Azure AI Document Intelligence, which extracts key fields such as supplier name, part number, material details, certifications, and revision dates. The structured data is then pushed into Centric to create or update product development records. This reduces manual rekeying, improves data accuracy, and gives design and sourcing teams faster access to validated supplier information.

2. Invoice and cost document extraction for product cost tracking

Flow: Azure AI Document Intelligence ? Centric

Purchase invoices, freight documents, and cost breakdowns are processed by Azure AI Document Intelligence and the relevant financial and item-level data is sent to Centric. Product managers and sourcing teams can use this information to maintain more accurate product cost records during development and pre-launch planning. This supports better margin analysis, faster cost approvals, and more informed sourcing decisions.

3. Compliance and certification document linking to product lifecycle records

Flow: Azure AI Document Intelligence ? Centric

Certificates of origin, test reports, safety declarations, and regulatory forms are extracted from incoming documents and attached to the corresponding product, style, or component record in Centric. This helps compliance, quality, and product teams maintain a complete audit trail for each item. It also reduces the risk of launching products without required documentation.

4. Design change request processing from scanned or emailed forms

Flow: Azure AI Document Intelligence ? Centric

Change request forms, approval documents, and annotated design submissions received by email or scanned from paper are processed by Azure AI Document Intelligence. The extracted change details, approvers, dates, and impacted items are then created in Centric as change records or updates to existing product data. This shortens approval cycles and improves traceability across design, merchandising, and technical teams.

5. Product sample and prototype documentation capture

Flow: Azure AI Document Intelligence ? Centric

Sample submission forms, prototype test results, lab reports, and fit approval documents are extracted and linked to the relevant product development stage in Centric. Teams gain a centralized view of sample status, test outcomes, and approval history. This improves collaboration between design, QA, and product development teams and helps prevent delays caused by missing documentation.

6. Specification sheet ingestion for faster product record creation

Flow: Azure AI Document Intelligence ? Centric

When vendors submit product specification sheets in PDF or scanned format, Azure AI Document Intelligence extracts attributes such as dimensions, materials, color codes, packaging details, and care instructions. Centric uses this structured data to populate new product records or enrich existing ones. This accelerates onboarding of new products and improves consistency in product master data.

7. Bi-directional document and metadata synchronization for product governance

Flow: Bi-directional

Centric can send product identifiers, revision numbers, and workflow status to Azure AI Document Intelligence so extracted documents are automatically classified against the correct product context. In return, Azure AI Document Intelligence can send extracted metadata back to Centric for record updates and workflow routing. This creates a controlled document governance process where product teams always work from the latest approved information.

8. Launch readiness document consolidation

Flow: Azure AI Document Intelligence ? Centric

Launch checklists, packaging approvals, regulatory sign-offs, and retailer submission forms are processed by Azure AI Document Intelligence and consolidated into Centric as part of the product launch record. This gives cross-functional teams a single view of launch readiness and highlights missing approvals before go-live. The result is fewer launch delays and better coordination between product, compliance, and operations teams.