Jan - March - 2022Retail Business Review6Copyright © 2022 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. January - March - 2022, Volume 02 - Issue 01 (ISSN 2835-916X)Published by ValleyMedia, Inc. To subscribe to Retail Business ReviewVisit www.retailbusinessreview.comManaging EditorKristina Smith Editorial StaffScott Moorhouse Sebastian JacobToni BrownSarah MurrayJennifer MyersKaren BluebondVisualizerAsher BlakeEmail: editor@retailbusinessreview.comsales@retailbusinessreview.commarketing@retailbusinessreview.com*Some of the Insights are based on the interviews with respective CIOs and CXOs to our editorial staffKristina SmithManaging Editoreditor@retailbusinessreview.comEditorialToday digital transformation is reshaping shopping experiences and customer expectations of physical stores. And, as the COVID-19 outbreak has fundamentally changed the way of doing business, it has also brought with it many timely technological innovations.During the pandemic, many business owners are now shifting to e-commerce platforms for optimizing their online sales processes. Moreover, as the global crisis turns the world upside down and impacts customer demand, one of the raising concerns is about predicting the shift in user behavior. Since many retail businesses are looking to use big data, demand forecasting driven by machine learning is becoming one of the innovative methods to optimize customer and supplier relationship management, logistics, and manufacturing processes, and run smart marketing campaigns. Additionally, data science and machine learning technologies have also made great progress in personalizing the customer experience. Data science and ML-powered engines can make personal recommendations to customers even before they know what they want themselves.In this edition of Retail Business Review, we bring you the story of some of the most successful retail technology solution providers that deliver the best outcomes for their clients. This edition also offers a combination of thought leadership from subject matter experts and exclusive insights from CIOs and CXOs. We hope this edition of Retail Business Review will provide you with the right assistance in choosing the retail technology solution provider according to your requirements.Let us know your thoughts! Propping Digital in the Brick and Mortar
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