An organization’s financial stability depends on the order-to-cash (O2C) process, which includes everything from order processing to receivables collection. The management of accounts receivable can present a formidable challenge for large enterprises, particularly in industries with thousands of daily transactions.

Finance teams used to rely on monthly reports and retrospective analyses to handle this process manually. This frequently resulted in sluggish responses, delayed payments, and lost optimization opportunities.

But the emergence of generative AI has ushered in a new period of precision and efficiency. Businesses are redefining how receivables are managed and revolutionizing the O2C process by utilizing AI.

“This was a very descriptive and diagnostic-focused process in 2017,” stated Prathmesh Thergaonkar, Director of Finance Analytics at Fractal. “To analyze what was happening, people used to look at end-of-month Excel reports and KPIs.”

Due to this retroactive approach, problems and delays were frequently overlooked until it was too late to properly address them.

Thergaonkar stated, “The receivables management process must evolve as the technology landscape does.”

Fractal’s Innovation in Generative AI

This is the application of Fractal’s most recent innovation, the Intelligent Collections Management (ICM) accelerator for analytics related to accounts receivable (AR). ICM changes the perspective from traditional month-end reporting to real-time actionable insights, with the goal of revolutionizing the O2C process.

ICM stands out with its predictive-first approach, setting it apart from conventional AR analytics tools that rely on retrospective month-end reporting.

By leveraging advanced ML algorithms, ICM delivers real-time predictions and insights. This enables businesses to forecast cash flows with unprecedented accuracy, identify potential payment defaults before they happen, and proactively manage collections efforts.

With these predictive capabilities, organisations can optimise cash flow and enhance financial stability by taking timely actions.

Comprehensive KPI Framework

ICM’s analytical framework is robust, encompassing four KPIs—descriptive, diagnostic, predictive, and prescriptive.

Descriptive KPIs: These provide insights into current and historical performance metrics such as ageing reports, days sales outstanding (DSO), and collection efficiency. This data visualisation helps users quickly assess the health of their AR portfolio.

Diagnostic KPIs: These metrics identify the root causes of issues like payment delays or disputes. By analysing trends in dispute reasons or deduction categories, users can address recurring problems at their source.

Predictive KPIs: ICM excels in predictive analytics, forecasting future payment behaviours, highlighting accounts at risk of delinquency, and estimating the likelihood of dispute resolutions. These insights enable users to prioritise efforts and allocate resources more effectively.

Prescriptive KPIs: Beyond prediction, ICM offers prescriptive recommendations, suggesting next-best actions to improve collections, resolve disputes, and reduce revenue leakage based on historical data and current conditions.

Seamless Data Integration & User-Centric Design

One of ICM’s standout features is its ability to integrate data from various sources, including ERP systems, local databases, planning tools, SharePoint, and Excel. This comprehensive data aggregation ensures access to a single source of truth, eliminating data silos and fostering cross-departmental collaboration.

By harmonising data from different systems, ICM not only enhances analytics accuracy but also simplifies the user experience, allowing seamless navigation and exploration of insights.

ICM’s design caters to various user personas, from CXOs to analysts, with an intuitive interface that offers extensive slicing and dicing capabilities. Users can drill down into the most granular levels of data, whether seeking high-level summaries or detailed transaction-level insights.

Customisable dashboards and reports allow users to focus on the metrics that matter most, while interactive visualisations make interpreting complex data straightforward.

Comprehensive Coverage of O2C Areas

ICM addresses all critical areas of the O2C process, including collections, deductions, leakage, disputes, and credit management, ensuring a holistic view of AR and enabling proactive issue resolution.

Collections: ICM optimises collections by prioritising accounts based on risk profile and payment history, streamlining the process with automated reminders and follow-ups, reducing DSO, and improving cash flow.

Deductions:  The tool leverages machine learning to categorise deductions, enabling users to understand underlying causes and take corrective actions. With Generative AI, it efficiently charges back invalid low-value deductions, helping minimise future occurrences and improve customer negotiations.

Leakage: ICM detects potential revenue leakage points, such as uncollected invoices or unauthorised discounts, allowing users to recover lost revenue and prevent future leakage.

Disputes: ICM accelerates dispute resolution by predicting the likelihood of successful outcomes and providing recommendations for effective resolution, reducing time and effort and enhancing customer satisfaction.

Credit Management: ICM helps users manage credit risk by evaluating customer creditworthiness and recommending dynamic credit limits, ensuring businesses extend credit to reliable customers while minimising bad debt risk.

Real-Time Insights and Autonomous Finance

Combining graphical representations and business commentary, ICM’s generative AI layer improves decision-making in real-time. This AI-powered helper boosts productivity everywhere by offering predictions, next-best actions, and contextual insights.

The AI assistant offers useful information that increases user productivity, whether it is forecasting payment dates or analyzing the effects of disputes on cash flow.

The ultimate goal of ICM is to move the O2C process toward an autonomous financial state where involvement from humans is no longer necessary. Based on both internal and external data, the tool’s sophisticated analytics and AI capabilities allow it to handle the majority of decision-making processes on its own.

Finance professionals can now concentrate on strategic initiatives as Intelligent Compliance Management (ICM) automates repetitive tasks and provides insightful insights. This increases productivity and enables organizations to become more resilient and agile.