Customer portal data integration
Provide customer data centrally for service and sales.
Customer portal data integration links orders, machine data, service history and documents in one portal, giving customers and internal teams a unified data base.
- More transparency
- Higher customer satisfaction
- Higher efficiency
service inquiries
customer satisfaction
payback
data consistency
Calculated from reduced service effort, stronger loyalty and additional service revenue.
- 01
Data integration
Consolidate data from ERP, MES and further sources for Customer portal data integration.
- 02
Data quality
Clean, harmonise and validate data for plausibility.
- 03
Model development
Train and validate the Customer portal data integration model on historical data.
- 04
Pilot
Pilot Customer portal data integration 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.
Order data
Customer orders, line items and dates.
Machine data
Condition, parameters and production counters.
Documents
Specifications, quotes, contracts and reports.
ERP data
Master and transaction data from ERP.
Service data
Service history, reports and warranty cases.
Service
Improves customer satisfaction through faster response.
Sales
Uses data-driven pricing and sales steering.
IT
Builds on a scalable and secure data infrastructure.
Management
Receives reliable metrics for strategic decisions.
More transparency
Higher customer satisfaction
Higher efficiency
Higher margins
More trust
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
Aftersales monitoring
Customer and machine data enable proactive service.
Automated reporting
Metrics are provided without manual effort.
Document management
Reports and protocols are managed centrally.
Lakehouse Architecture
A central lakehouse replaces the patchwork of data warehouse, data lake and Excel exports.
Data Integration from ERP & MES
Automatically merge ERP and MES data instead of exporting and reconciling manually.
Streaming & Real-Time Data
Instead of daily batch runs, relevant metrics are available within seconds.