Case study / B2B services / Working capital

How a DACH services group built an independent weekly cash-in forecast.

A working-capital engine connects unbilled work, invoices and open receivables at item level. Group Finance gains its own data-backed 12-week forecast across eight regions.

All case studies

Company profile

B2B-Servicegruppe

01

DACH services group with several thousand employees and eight regional units

02

Recurring contract services plus project and call-off business

03

Central Group Finance and Treasury with eight regional finance directors

04

Multiple ERPs, central data warehouse, Microsoft Fabric, Excel and RowZero

What the Finance solution needed to achieve.

01

Build root-cause analysis for changes and an independent weekly cash-in forecast

02

Connect unbilled work, invoices and open items at transaction level

03

Forecast overdue receivables from empirical payment behaviour instead of zero

04

Separate working-capital drivers by process stage, region and owner

05

Hand over a maintainable model in the client's existing tools

Data foundation

The data foundation behind the model.

01

Unbilled work in progress

Work delivered but not yet invoiced

02

Invoice data

Actual and planned invoice volume for recurring and non-recurring services

03

Open receivables

Weekly item-level snapshots with due date, age and debtor segment

04

Planning data

Budget, output, revenue and regional last-best estimates

Architecture and implementation

From separate data to a production Finance workflow.

Finton combines source data, Finance logic, controls and delivery in one maintainable operating model.

01

Cash conversion chain

Every euro is tracked through work done, billable, invoiced, due and paid

02

Receivables engine

Empirical survival curves replace averages and overdue items forecast at zero

03

Three forecast layers

Open receivables, future contract invoices and unbilled work are combined without double counting

04

WIP and balance-sheet forecast

Days-to-bill and DSO are triangulated against output, revenue and actual invoicing

05

Weekly review

Nine panels move from the overall verdict through drivers and actions to actual reconciliation

Operational output

What Finance receives in ongoing operations.

The solution delivers decision-ready outputs in the client's existing system landscape.

01

12-week cash-in forecast

Weekly forecast by source and confidence tier

02

Eight regional views

One engine with the same review logic across all units

03

Driver bridge / root-cause analysis

Variances are attributed to receivable timing, invoice volume, WIP conversion and payment behaviour

04

Action list

Large receivables have a named owner, expected date and amount

05

Reconciliation and QA

Forecast and actuals are reconciled and documented

Business impact

Measured impact in the Finance workflow.

01

X to 1

Fragmented data sources unified in an item-level model for the first time

02

Millions of euros explained

The build-up in unbilled work was traced to the measurable driver of invoicing per day

03

~70% focused

Two of eight regions accounted for most of the WIP build-up

04

Zero to curve

Overdue receivables now carry an empirical, dated cash expectation

05

Eight regions

One engine, eight regional views and one review format

Your Finance workflow

Where could better data logic reduce manual work and uncertainty?

Discuss your first use case