Turn production knowledge into productive capacity.
Variant complexity puts pressure on engineering, inspection and changeovers. Skilled people lose time reconciling drawings, machine records and quality evidence.
The industrial opportunity
Make every variation easier to handle.
Connect vision-based inspection and engineering knowledge to the production task. Aim for less manual preparation and earlier detection of defects; measure both against a representative baseline.
Inside the workflow / example
Prepare an RFQ for technical review.
One potential application. Welf connects your data and systems, engineering the application with the people who understand the operation.
What comes in
The customer’s RFQ, drawings and requested delivery date; approved product data, comparable historical offers and current commercial rules.
What AI prepares
Extract requirements, match relevant product variants and build a requirements-to-evidence list. Separate confirmed matches, assumptions and unanswered questions.
What your team decides
A sales engineer checks feasibility and gaps. Commercial staff approve price and terms before the agreed system creates or updates the quotation.
A closer look
What goes into the work.
Explore the questions that matter for your project.
Put product knowledge
where decisions happen.
Sales engineering · Quality · Operations
Quote to order
Read requests for quotation, retrieve comparable offers and prepare a technical response for commercial review.
Engineering knowledge
Connect specifications, product lifecycle records and service history with source-linked answers.
Quality operations
Assemble evidence of quality deviations and draft investigation records for the quality team.
Integrated into your operation.
Technical feasibility, price and quality-release decisions stay with the responsible specialist. Product versions and source references travel with every recommendation.
System environment
SAP · Product lifecycle management · Manufacturing execution · Quality management · Technical documents
Responsibility
Access, permitted actions, approvals and recovery paths are defined before deployment.
Measure preparation effort
and review quality.
Compare engineering minutes per accepted quote, elapsed response time and rework for similar complexity. Check that shorter preparation does not increase pricing errors or missing requirements.
Candidate measures
Quote cycle time · Engineering effort · Correction rate
Start with one product family.
Choose one product family and a representative mix of straightforward, incomplete and exceptional requests. Bring sales engineering, the product-data owner and the ERP owner into the scope.
Plan the first deliveryBring a case your team knows too well.
Describe the task, the systems involved and what makes it difficult. We can use that context to discuss a first workflow and the evidence it would need.
Start a conversation