ARcollectAi

ML Driven Efficient Account Receivable Management
3M+ Number of customers processed every month.
$50B+  Portfolio Value
6 Number of Business lines supported.
2TB+ Data processed every month.
200+ Features created.

CreditNirvana – ARcollectAi

ARcollectAi- Features

ML Driven Efficient Account Receivable Management

ARCollectAihelps extract key data including historical data (open, closed, disputed invoices; collector logs and customer loyalty) and external data (alternate data, customer credit ratings and interest rates etc) and give key insights on all possible credit and AR prediction scenarios including use-cases such as invoice payment dates, validation of deductions and prediction of potential customer default.

Power of Alternate Data

Use power of alternate data (Enterprise data, social data, mobile data, Government data etc) for automated, Predictive and Prescriptive driven AR management

Automated AR Management Process

Automated AR Management process using the power of Machine learning and big Data engineering

ARcollectAi: Benefits

Predictive AR Management

Pre-emptively, Predicting likely late payments before the invoice due date, as well as identifying the root causes of late payments. This can go a long way in enabling organizations to plan their operations more effectively.

Prescriptive and Personalized AR Collection Process

Prescribing the personal messaging content, channels and timing to reach out the customer well in advance

Targeted, faster AR Collection process

Reducing time taken to process disputes, for example cutting dong the time taken to retrieve proof of delivery, claim documents, and other backup from siloed systems.

Like to See ARcollectAi at Work ? Contact Us to Schedule a Demo

About StatAnalytics

We are a group of Data scientists each with more than 20 years of experience in Advanced analytics, Data science and Data Engineering in organizations like Accenture, Capgemini, HP, Morgan Stanley etc.

Contact Us

Contact us today and learn how best you can start making decisions with prespective analytics and increase collection amounts and product cross selling. You can connect with us on LinkedIn or use the Contact Us link below to fill up the form and we’ll respond you.