How to create an effective Collections strategy?

28 April, 2021

4 min read

Brett Johnson, AVP, Global Enablement

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CONTENT

Strategy to build proactive collections

Three big shifts in the collections strategy

Conclusion

The rapid shift towards digital transformation has led to a significant change in the CFO’s role. These uncertain times, triggered by COVID-19, have compelled CFOs to focus more on establishing a suitable collections strategy in Order to Cash (O2C) to ensure disciplined management of the business’s accounts receivable. We engaged with over 200 Accounts Receivables (A/R) leaders globally across Fortune 1000 companies to gain insights into their perspectives and concerns regarding their collections strategy. It became evident that collections teams realized the necessity of adopting a proactive approach to enhance metrics such as Days Sales Outstanding (DSO), Collection Effectiveness Index (CEI), Average Days Delinquent (ADD), and strengthening customer relationships.

Strategy to build proactive collections

Collections as a process in O2C have never been an easy one, and previously it was highly dependent on a reactive dunning model. This model meant waiting for customers to go past due dates before collectors started following up with them. While this model may have been adequate in the old economy, the current state deems it high-risk, if not obsolete. With more customers turning delinquent or failing to pay, significant effort and cost are expended to capture overdue payments.

Collection teams need to develop a strategy that helps them ensure the promise-to-pays are honored by analyzing customer payment behavior proactively to optimize working capital.

Two key collection strategies:

1. AI-driven Proactive Collections
In collections management systems, Artificial Intelligence (AI) is a prerequisite for preemptive dunning. It can assist teams with capabilities such as:

Generating prioritized worklists
Identifying at-risk customers before they default
Predicting the date on which a customer is most likely to pay

2. Leverage the payment date prediction tool to reduce DSO

AI and ML can help collections management become more proactive by predicting payment dates at a customer or account level based on past payment behavior and current open invoices.

Having this type of data enables collectors to act before invoices and customers go past due. This, in turn, reduces the cost of dunning activities and allows a 10-15% improvement in DSO while also increasing the available working capital. It additionally improves collector’s efficiency by 30% because they can focus on developing dunning strategies for the more critical accounts while automating the low-risk ones.

Three big shifts in the collections strategy

1. 7.1% rise in the average days to pay

While an increase in payment cycle time was anticipated, the teams that leveraged a cloud-based automated collection process exhibited a lower increase in payment cycle time than industry benchmarks.

2. 21.50% decline in payment commitment honoring

One of the critical metrics that helped us understand the relationship between O2C’s A/R departments and their A/P counterparts was the number of payment commitments honored.
Many companies use payment commitments as input for their cash forecasting models. If these commitments are not honored it substantially impacts their ability to forecast and manage working capital accurately.
Potential Causes for payment commitments not being honored:
- Collectors set payment commitments with customers under increased pressure to deliver faster even when they knew the probability of getting paid by the buyers was low.
- On the accounts payable side, many buyers were unsure about their cash flow. They were making payment commitments to avoid any impact on their credit lines.
- These reasons point to the need for a system that enables collectors to analyze the integrity of payment commitments and understand the customer’s ability to pay.

3. 32.50% spike in dunning activities

To have an impact on working capital, collections teams grew more aggressive in collecting payments faster. The economic uncertainty pushed them to focus more on the 0–30-day aging buckets instead of the 60+ day bucket, which was earlier a typical priority.
This strategy may work in the short-term; however, it’s not a long-term solution for two reasons:
- It is difficult to scale this activity (correspondence, disputes, payment commitments, and communications, etc.) across the entire customer portfolio without a collections management system in place.
- A continuous aggressive collections strategy impacts the customer experience.

Conclusion

Collections operations within organizations are in dire need of innovations that could improve the overall process efficiency and help optimize working capital. Transitioning from traditional methods of operation to more data-driven futuristic and scalable digital solutions is the way forward. Additionally, having global visibility across all A/R operations with the help of a platform that consolidates all the data from internal teams helps break silos and contributes to faster revenue growth.