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 Conference Paper Faculty Publications- Conference Papers 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 Naredla, Suman; Singh, Madhulika; Chaturvedi, Nidhi; Banerjee, Devleena; Gobinath, V.M.; Anil Tiwari, Dr. Title A name given to the resource AI and IoT in Digital Marketing: Enhancing Automation, Personalization, and Consumer Interaction 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 2025 International Conference on Pervasive Computational Technologies, ICPCT 2025;pp.895-899 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICPCT64145.2025.10941275" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICPCT64145.2025.10941275</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105002869516?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105002869516?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 Naredla S., Sr University, School of Business, Telangana, Warangal, India; Singh M., Quantum University, Computer Science and Engineering, Uttarakhand, Roorkee, India; Chaturvedi N., Emirates Aviation University, Faculty of Business Management, Dubai, United Arab Emirates; Banerjee D., Christ University, India; Gobinath V.M., Rajalakshmi Institute of Technology, Mechanical Engineering Department, Tamilnadu, Chennai, India; Anil Tiwari D., Rnb Global University Bikaner, Department of Commerce and Management, India Description An account of the resource An interconnected system of Internet-enabled devices that can collect and transmit statistics via a wireless connection without the assistance of people is known as the Internet of Things (IoTs). Accordingly, the IoT's seductive power is causing significant shifts in the current corporate environment. The digital marketing industry stands to gain the most from this innovation, which is currently causing major shifts in many other sectors. Using a variety of digital marketing strategies, this innovation gathers numerous types of consumer statistics. IoT technological advancements' impact on digital marketing tactics and customer interaction has emerged as a crucial research topic as it begins to pervade many facets of everyday existence. This investigation examines the application of IoT-based machine learning (ML) in digital marketing for the food business. To give ML-based suggestions, consumer data is analyzed, interests are identified, and conduct is predicted using ML approaches. The ensemble technique aggregates the results of multiple ML techniques to produce an individual forecast. The accuracy matrices graphs for the K-nearest neighbor and decision trees produced excellent estimations, with 100% accuracy and 0.0 error, correspondingly. The nae Bayes method achieved 97.2% accuracy with a 0.029 error, successfully identifying the right tags across every category. The guided ensemble of 3 ML methods is demonstrated by effectively enhancing digital marketing tactics in the food distribution industry by reducing duration and expenses. 2025 IEEE. Subject The topic of the resource and Consumer interaction; Artificial intelligence; Digital marketing; Internet of things; Machine learning Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833150868-5; Language A language of the resource English Type The nature or genre of the resource Conference paper 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