North America & Europe
End-to-end collections engine framework
Avoided the risk of late payment of invoices worth $5.2M per month on an average
The Order-to-Cash (O2C) division of a leading CPG company wanted to improve cash inflow by transforming the invoice-to-cash collections process. Traditionally, as invoice-to-cash collections is a reactive process, the collection agents follow-up with customers only when an invoice is delayed beyond payment terms, or a dispute is raised. This approach is slow, manual and expensive.
The O2C division noticed that the delinquent invoice payments were directly affecting the EBITDA and cash inflow, and in turn leading to inconsistencies in financial stability.
TheMathCompany teamed up with the CPG company to take an intelligent and proactive approach by implementing predictive analytics for the invoice to cash collection process to improve cash inflows. The predictions were used to optimize collection resources and prioritize follow-ups of delinquent invoices, to avoid late collections and improve overall EBITDA.
We developed an end-to-end collections engine framework that utilised invoice, SKU and customer data to predict invoice delays, thereby enabling collections agents to take proactive action before an invoice is delayed beyond payment terms
Stay up to date with the latest marketing, sales, and service tips and news.
Subscribe to our newsletter to receive latest updates