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Predictive cash flow modelling using AI

How to model, improve cash flow and deliver high-value, actionable insights
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The immediate challenge

Accurate and timely cash flow forecasts are increasingly difficult to model:

  • Future revenues which fluctuate drastically, with some drying up completely
  • Payment holidays, extended terms, revised and additional payments
  • Staffing options and related expenses
  • Emergency Government policies including Coronavirus job retention scheme for furloughed employees, VAT deferral, SSP relief for SMEs and business rates holidays
  • Analysis of invoices and payment data, siloed in multiple data platforms

Ancoris CFOLab

CFOLab is an advanced analytics platform specifically targeted at analysing, improving and forecasting organisational cash flow.

Once your data is ingested, CFOLab provides engaging analytics that span account receivables, account payables, and a combined view to model daily net inflows and outflows. This is complemented by a comprehensive suite of forecasting capabilities to allow complex “what-if” scenarios to be easily modelled.

Ancoris CFOLab leverages the secure platform of Google BigQuery, AI & machine learning technologies and advanced Looker analytics.

Data illustration

What-if modelling

Forecast cash inflows, outflows and daily cash reserves i.e. how long until the cash runs out?

Compare different scenarios based on your own metrics. These include, but are not limited to:

  • Predictions and scenarios on future revenue recovery
  • Staffing changes (hire, cut, amend pensions payments, bonuses & commission)
  • Negotiated supplier payment terms at individual level
  • Negotiated customer payment terms at individual level
  • HMRC VAT deferrals

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We know data is challenging.

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