ItemConference Paper

AI and IoT in Digital Marketing: Enhancing Automation, Personalization, and Consumer Interaction

Title
AI and IoT in Digital Marketing: Enhancing Automation, Personalization, and Consumer Interaction
Creator
Naredla, Suman; Singh, Madhulika; Chaturvedi, Nidhi; Banerjee, Devleena; Gobinath, V.M.; Anil Tiwari, Dr.
Description
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.
Source
2025 International Conference on Pervasive Computational Technologies, ICPCT 2025;pp.895-899
Date
01-01-2025
Publisher
Institute of Electrical and Electronics Engineers Inc.
Subject
and Consumer interaction; Artificial intelligence; Digital marketing; Internet of things; Machine learning
Coverage
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
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISBN: 979-833150868-5;
Format
online
Language
English
Type
Conference paper

Citation

Naredla, Suman; Singh, Madhulika; Chaturvedi, Nidhi; Banerjee, Devleena; Gobinath, V.M.; Anil Tiwari, Dr., “AI and IoT in Digital Marketing: Enhancing Automation, Personalization, and Consumer Interaction,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/26088.

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