Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Mukherjee, Kankhita; Ananthan, Sriram; Raghunandan, G.; Manickam, Thirupathi Title A name given to the resource Natural processing language: Business strategy in marketing intelligence Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Marketing Intelligence, Part A: Understanding Customers in the Era of Digitalization;pp.175-193 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1108/978-1-83549-418-920251011" target="_blank" rel="noreferrer noopener">https://doi.org/10.1108/978-1-83549-418-920251011</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105006518041?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105006518041?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Mukherjee K., Christ University, India; Ananthan S., Acsenda School of Management, Canada; Raghunandan G., Christ University, India; Manickam T., Christ University, India Description An account of the resource Customer Perception (CP) plays a crucial role for linking business strategy to success, with companies using multichannel data like social media and surveys to gather valuable unstructured information. Accurate analysis of this data uncovers purchasing trends, product flaws, and customer interests, thus guiding product improvements and marketing strategies. This chapter highlights the importance of prioritizing pricing and product usefulness over aesthetic appeal in catalogues by understanding consumer behaviour, and leveraging multichannel marketing for global reach and cost-effectiveness. This chapter explores how Deep Learning and NLP technologies enhance data analysis, customer feedback capture, and marketing strategies along with emphasizing ethical considerations. It aims to provide insights into developing competitive, intelligent marketing strategies (IMS) focussing on CRM, ultimately guiding companies to navigate the evolving marketing landscape effectively. 2025 Kankhita Mukherjee, Sriram Ananthan, Raghunandan G. and Thirupathi Manickam. Published under exclusive licence by Emerald Publishing Limited. All rights reserved. Subject The topic of the resource Artificial intelligence (AI); Consumer perception (CP); Intellectual marketing strategy (IMS); Marketing intelligence; Natural processing language (NLP) Publisher An entity responsible for making the resource available Emerald Publishing Relation A related resource ISBN: 978-183549418-9; 978-183549419-6; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online