Aftersales monitoring
Recognise machine usage and service needs at the customer.
Aftersales monitoring captures operating data from sold machines and forecasts maintenance and spare-parts needs, enabling proactive service planning.
- More transparency
- Higher margins
- Better planning
service revenue
unplanned dispatches
payback
customer satisfaction
Calculated from additional service orders, lower warranty costs and stronger customer loyalty.
- 01
Data integration
Consolidate data from ERP, MES and further sources for Aftersales monitoring.
- 02
Data quality
Clean, harmonise and validate data for plausibility.
- 03
Model development
Train and validate the Aftersales monitoring model on historical data.
- 04
Pilot
Pilot Aftersales monitoring 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.
Machine data
Condition, parameters and production counters.
Customer data
Contracts, cases and communication.
ERP data
Master and transaction data from ERP.
Maintenance data
Faults, maintenance and spare-parts consumption.
Sales data
Orders, revenue, channels and customer feedback.
Documents
Specifications, quotes, contracts and reports.
Service
Improves customer satisfaction through faster response.
Sales
Uses data-driven pricing and sales steering.
Controlling
Quantifies effects and supports budgeting.
IT
Builds on a scalable and secure data infrastructure.
More transparency
Higher margins
Better planning
Higher customer satisfaction
Higher efficiency
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
Predictive maintenance
Sensor data provides wear indicators.
Inventory optimisation
Forecasts drive inventory and procurement.
Automated reporting
Metrics are provided without manual effort.
Management Cockpits
Revenue, margin and cash at a glance – updated daily instead of once a month.
Finance & Controlling Reporting
Month-end close and cost-center reports without an Excel marathon at the start of the month.
Sales & CRM Analytics
Make pipeline, forecast and customer potential visible instead of guessing in the CRM.