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AI & BI use case · Business Intelligence

Cash-flow forecasting

Forecast and control liquidity precisely.

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What it's about

Cash-flow forecasting links orders, invoices, payment terms and seasonality into a reliable liquidity forecast, making shortages and surpluses visible early.

  • Better planning
  • Lower risk
  • More transparency
Business case & ROI
−30 %

forecast variance

−20 %

liquidity shortages

4–6 Mon.

payback

+15 %

planning confidence

Calculated from reduced overdraft interest, better investment planning and lower liquidity risk.

How we do it
  1. 01

    Data integration

    Consolidate data from ERP, MES and further sources for Cash-flow forecasting.

  2. 02

    Data quality

    Clean, harmonise and validate data for plausibility.

  3. 03

    Model development

    Train and validate the Cash-flow forecasting model on historical data.

  4. 04

    Pilot

    Pilot Cash-flow forecasting in one area and collect feedback.

  5. 05

    Rollout

    Scale the solution and integrate it into operational processes.

5

Steps

6

Data sources

4

Stakeholders

From first data access to production – every step delivers a tangible interim result.

Data typically needed

Financial data

Cost centres, budgets, cash flows and invoices.

ERP data

Master and transaction data from ERP.

Order data

Customer orders, line items and dates.

Sales data

Orders, revenue, channels and customer feedback.

Supplier data

Lead times, certificates, prices and ratings.

Customer data

Contracts, cases and communication.

Stakeholders

  • CFO

    Receives reliable financial and risk metrics.

  • Controlling

    Quantifies effects and supports budgeting.

  • Management

    Receives reliable metrics for strategic decisions.

  • IT

    Builds on a scalable and secure data infrastructure.

Typical business value
01

Better planning

02

Lower risk

03

More transparency

04

Better decisions

05

Cost reduction

The data platform advantage

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

Build a data platform →
Synergies & positive side effects

Demand forecasting

Data flow enables more precise forecasts.

Automated reporting

Metrics are provided without manual effort.

BI reporting

Metrics are delivered in dashboards.

More use cases

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.