Deductions 2020: Best Practices For Proactive Dispute Management With Artificial Intelligence


About The Webinar

A/R teams today are still looking at Artificial Intelligence as a futuristic technology, even though they could leverage it in the present day to increase their productivity manifold. AI can enable deduction teams in reducing the number of disputes, prioritizing the ones which are of maximum importance and building a strategy for immediate and accurate resolution.
However, in addition to technology, deductions teams also need to follow certain best practices that would create value and improve their productivity while dealing with different customer claims. Hence, A/R leaders today need to figure out the right mix of process (aligned with industry best practices) and technology to support their deductions operations.
Join Kathy Rotondo, Sr. Vice President at IAB Solutions LLC and Sonali Nanda, Vice President, Product Management at HighRadius, in this webinar, as they talk about the right combination of service and AI-powered tools and analytics that would be imperative for deductions teams to thrive in the upcoming year.

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HighRadius Integrated Receivables Software Platform is the world's only end-to-end accounts receivable software platform to lower DSO and bad-debt, automate cash posting, speed-up collections, and dispute resolution, and improve team productivity. It leverages RivanaTM Artificial Intelligence for Accounts Receivable to convert receivables faster and more effectively by using machine learning for accurate decision making across both credit and receivable processes and also enables suppliers to digitally connect with buyers via the radiusOneTM network, closing the loop from the supplier accounts receivable process to the buyer accounts payable process. Integrated Receivables have been divided into 6 distinct applications: Credit Software, EIPP Software, Cash Application Software, Deductions Software, Collections Software, and ERP Payment Gateway - covering the entire gamut of credit-to-cash.