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ManufacturingSolution

Engineering Change and Bill of Materials Copilot

Answer engineering change impact questions in minutes by retrieving across specifications, drawings, change history and bill of materials rather than asking three engineers who have been there longest.

Solution
Generative AI
Industry
Manufacturing
Company Size

Solution Overview

industry
Manufacturing
solution
Generative AI
technologies
Azure OpenAI, Azure AI Search, Microsoft Fabric, Azure AI Document Intelligence, Microsoft Purview, Microsoft Teams

The Challenge

Assessing an engineering change means understanding which products, variants, plants and suppliers are affected, what changed last time something similar was attempted, and which specifications constrain the options: information spread across PLM, ERP, drawings, specifications and a decade of change records.

  • 1Change impact spread across PLM, ERP, drawings, specifications and change history
  • 2Search failing across systems, so engineers ask colleagues instead
  • 3The most experienced engineers becoming a bottleneck on every change assessment

Our Approach

CloudGate builds an engineering copilot grounded in specifications, drawings metadata, change history and bill of materials, answering impact questions with citations back to the source document or record.

  • Retrieval across specifications, drawing metadata, change records and bill of materials
  • Where-used analysis returning affected products, variants, plants and suppliers from the BOM
  • Similar prior change retrieval so previous attempts inform the current assessment

Typical Outcomes

Minutes
TO AN IMPACT ASSESSMENT, NOT DAYS
Cited
BACK TO SPECIFICATION OR CHANGE RECORD
Complete
AFFECTED POPULATION FROM THE BOM

Typical outcomes for this solution pattern, not the results of a named client engagement.

Technologies Used

Azure OpenAIAzure AI SearchMicrosoft FabricAzure AI Document IntelligenceMicrosoft PurviewMicrosoft Teams
Full architecture and data flow in the Data & AI Catalog

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