Eliminating Inaccuracy Using Micro-cash Forecasting


Improve the accuracy of your cash projection reports by leveraging AI to predict invoice level delinquency of your outstanding receivables

Contents

Chapter 01

How to Build A Cash Flow Projection Report?t

Chapter 02

Cash Flow Forecasting: Failures and Cause Analysis

Chapter 03

Eliminating Inaccuracy Using Micro-cash Forecasting

Chapter 04

Benefits of Cash Flow Forecasting at Various Levels
Chapter 03

Eliminating Inaccuracy Using Micro-cash Forecasting


Advancements in technology such as predictive analytics enable payment pattern-analysis to be performed at an invoice line item level allowing for micro-cash forecasting and a drill-down visibility to customer segments, individual customers and invoices.
The power of historic customer data is harnessed from multiple sources, to predict, the likely payment dates across all invoices thereby being able to project with increased accuracy, the possible cash inflows for the future. The real power comes in bringing together data (e.g. big data and data warehouse) into one centralized repository.
Analytics derive their outcomes from extensive mathematical modeling and computations utilizing advanced statistics and machine learning. They provide us with sophisticated visualizations that open up a world which allows us to understand patters and generate accurate cash projections. Today’s spreadsheet forecasts only provide single-source, two dimensional tabular reports on current period information

“Micro-cash forecasting leverages AI to gain 360 customer view and predicts possible payment delays at an invoice and account level”

  • Better intelligence brings better accuracy
    With the help of predictive analytics, treasurers could drill deep down into customer payment behavior patterns, and predict accurately the cash inflows based on  predicted payment dates.
  • Real-time forecasting
    If your business is facing a turbulent time financially, updating the cash flow forecast daily can help you to identify new threats in advance. Predictive enable digitizing and speeding up many of the tasks that are involved in planning your company’s cash requirements.
  • Channel Your Team Efforts In Right Areas
    Line item level forecasting enables you to predict futile cash collection efforts and lets you channelize your team’s effort on high-yield actions.

 

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HighRadius Integrated Receivables Software Platform is the world's only end-to-end accounts receivable software platform to lower DSO and bad-debt, automate cash posting, speed-up collections, and dispute resolution, and improve team productivity. It leverages RivanaTM Artificial Intelligence for Accounts Receivable to convert receivables faster and more effectively by using machine learning for accurate decision making across both credit and receivable processes and also enables suppliers to digitally connect with buyers via the radiusOneTM network, closing the loop from the supplier accounts receivable process to the buyer accounts payable process. Integrated Receivables have been divided into 6 distinct applications: Credit Software, EIPP Software, Cash Application Software, Deductions Software, Collections Software, and ERP Payment Gateway - covering the entire gamut of credit-to-cash.