This podcast features a discussion between Trade Credit & Liquidity Management’s Bob Shultz and Amartya Singh, CEO and CFO of FinFloh, focusing on the persistent challenges companies face in managing the order-to-cash (O2C) process. Fragmented systems and the high cost and complexity of ERP customization create opportunities for AI and better system integration to modernize O2C processes. Singh explains that while traditional ERP systems handle some aspects of O2C, such as invoicing, payment application, and ledger management, they often fall short of providing full transparency and automation. Many critical functions, such as customer contact management, reside in separate systems (e.g., a CRM solution) leading to data silos, manual intervention, and process errors.
There is a growing openness among finance teams to adopt artificial intelligence (AI) and machine learning (ML) tools. Increasingly recognized for their potential to improve efficiency, reduce errors, and enhance decision-making in credit and collections management, AI/ML are being used to automate credit risk assessment and deliver actionable insights directly within the CRM, allowing users to make informed decisions without disrupting established workflows.
For more on this topic, check out Get Paid Faster: Adopt an AI Solution That Integrates Credit Decisions into Your CRM
Amartya Singh is the CEO & CFO of FinFloh, a modern finance tech firm that leverages AI (predictive/generative), ML, ERP-CRM native synchronization, and market intelligence to transform credit decisions and streamline the entire accounts receivable and quote-to-cash lifecycle.
