6DEC-JAN 2021Managing EditorSarah DawsonAaron Pierce Ann Bennis Antony MosesVisualizerSalesSarah DawsonManaging Editoreditor@cfotechoutlook.comRichard Watsonrichard@cfotechoutlook.comEditor's NoteEditorial StaffAva GarciaJoshua Parker Paul BarberJohn WalterCopyright © 2020 ValleyMedia, Inc. All rights reserved. Reproduction in whole or part of any text, photography or illustrations without written permission from the publisher is prohibited. The publisher assumes no responsibility for unsolicited manuscripts, photographs or illustrations. Views and opinions expressed in this publication are not necessarily those of the magazine and accordingly, no liability is assumed by the publisher thereof.*Some of the Insights are based on the interviews with respective CIOs and CXOs to our editorial staffEmail:sales@cfotechoutlook.comeditor@cfotechoutlook.commarketing@cfotechoutlook.com Dec-Jan 2021, Vol - 06, Issue - 07 (ISSN 2644 - 2841)Published by ValleyMedia, Inc. To subscribe to CFO Tech OutlookVisit www.cfotechoutlook.com Determining a proper account receivable strategy is an integral part of running a successful business. Despite this, several business owners fail to acquire a systematic approach to the situation, and they encounter the adverse effects of it. Enhancing and optimizing accounts receivable processes brings many advantages to the table. A streamlined and effective account receivable process favorably influence marketing, sales, customer service, and entire operations. So, it's well worth it to invest time and effort to strengthen the account receivable solution present within the organization. The account receivables payment and collections strategy is more reactive than proactive. In view of the fact that it is a highly rule-based and manual process, it also misses the level of customization and severity that technology-assisted processes have. However, the advent of modern digital technologies has made this process more technology-driven than ever before. Technologies such as Artificial Intelligence (AI) and analytics can be leveraged in this area to create proactive strategies. Similarly, with the help of Machine Learning (ML), organizations will have the advantage of analyzing historical customer data, retrieving insights on customer behavior and company cash flow, and learning from it. It can further make superior decisions and act without human intervention. Moreover, predictive analytics powered by an ML algorithm can be utilized to predict parameters such as expected payment dates on invoices or working capital at a point in time in the future. Apart from this, prescriptive analytics can also suggest actions such as incentives to be given to customers to expedite the payment on the receivables.In this edition of CFO Tech Outlook, we bring you the top 10 account receivable solution and service providers that are transforming the industry. This edition features insightful articles that emphasize on the manifold benefits of using the latest technologies for better results.Let us know your thoughts!Accelerating Accounts Receivable with Technology
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