Quote configurator
Create quotes faster and without errors.
The quote configurator combines customer requirements with product rules, prices and lead times, automatically determining suitable variants and prices.
- Faster processes
- Less manual work
- More transparency
quote time
incorrect quotes
payback
quote volume
Calculated from more processed inquiries, fewer renegotiations and higher win rates.
- 01
Data integration
Consolidate data from ERP, MES and further sources for Quote configurator.
- 02
Data quality
Clean, harmonise and validate data for plausibility.
- 03
Model development
Train and validate the Quote configurator model on historical data.
- 04
Pilot
Pilot Quote configurator in one area and collect feedback.
- 05
Rollout
Scale the solution and integrate it into operational processes.
Steps
Data sources
Stakeholders
From first data access to production – every step delivers a tangible interim result.
Customer data
Contracts, cases and communication.
Product data
Bills of materials, variants and life cycles.
ERP data
Master and transaction data from ERP.
Documents
Specifications, quotes, contracts and reports.
Order data
Customer orders, line items and dates.
Supplier data
Lead times, certificates, prices and ratings.
Sales
Uses data-driven pricing and sales steering.
R&D
Uses data for product and process improvements.
Controlling
Quantifies effects and supports budgeting.
IT
Builds on a scalable and secure data infrastructure.
Faster processes
Less manual work
More transparency
Higher margins
Higher customer satisfaction
With a solid data foundation this use case gets faster, cheaper and far more stable.
Central data platform
Real-time data integration
Scalable analytics pipelines
Reusable data products
GenAI assistance
Language models unlock documents and knowledge.
Document management
Reports and protocols are managed centrally.
Demand forecasting
Data flow enables more precise forecasts.
Internal Enterprise GPT
A company-owned chat assistant that reliably answers questions on processes, policies and expertise.
Document Chat (RAG)
Search large document sets via chat instead of manually digging through contracts and reports.
Service & Repair Assistant
Technicians get precise repair guidance on-site, drawn from manuals and ticket history.