Receivables management
Target open items and accelerate incoming payments.
Receivables management prioritises dunning and reminders by default probability and customer value, balancing liquidity and customer relationships.
- Better cash flow
- Cost reduction
- Higher customer satisfaction
overdue receivables
incoming payments
payback
dunning effort
Calculated from reduced bad debt and lower dunning effort.
- 01
Data integration
Consolidate data from ERP, MES and further sources for Receivables management.
- 02
Data quality
Clean, harmonise and validate data for plausibility.
- 03
Model development
Train and validate the Receivables management model on historical data.
- 04
Pilot
Pilot Receivables management 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.
Financial data
Cost centres, budgets, cash flows and invoices.
Customer data
Contracts, cases and communication.
ERP data
Master and transaction data from ERP.
Sales data
Orders, revenue, channels and customer feedback.
Documents
Specifications, quotes, contracts and reports.
Order data
Customer orders, line items and dates.
CFO
Receives reliable financial and risk metrics.
Controlling
Quantifies effects and supports budgeting.
Sales
Uses data-driven pricing and sales steering.
IT
Builds on a scalable and secure data infrastructure.
Better cash flow
Cost reduction
Higher customer satisfaction
Higher efficiency
Lower risk
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
Demand forecasting
Data flow enables more precise forecasts.
Automated reporting
Metrics are provided without manual effort.
BI reporting
Metrics are delivered in dashboards.
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.