Artificial Intelligence in Consumer Buying Behaviour: A Study of Social Commerce
- DOI
- 10.2991/978-94-6463-872-1_13How to use a DOI?
- Keywords
- Artificial Intelligence; Sustainable Marketing; Consumer Behavior; Social Commerce; Personalized Marketing
- Abstract
The digital transformation has brought Artificial Intelligence (AI) into the forefront as a fundamental element of sustainable marketing practices. This research study investigates how AI technologies help to advance buying behavior among social commerce consumers. Businesses can achieve higher levels of consumer engagement and satisfaction by using AI-generated insights to optimize their marketing strategies. The research combines descriptive metrics and analysis using surveys conducted through judgment and convenience sampling approaches to study AI’s effects on customer behaviors. Key research points to essential roles AI systems play in consumers’ relationship enhancement with businesses alongside trend forecasting capabilities and personalized benefits. The innovation leads to workflow improvements while supporting sustainable marketing initiatives through effective resource management together with enhanced user satisfaction.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Brahmmanand Sharma AU - Manish Upadhyay AU - Ruturaj Baber AU - Pratima Sharma PY - 2025 DA - 2025/11/04 TI - Artificial Intelligence in Consumer Buying Behaviour: A Study of Social Commerce BT - Proceedings of the 2nd International Conference on Sustainable Business Practices and Innovative Models (ICSBPIM-2025) PB - Atlantis Press SP - 159 EP - 169 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-872-1_13 DO - 10.2991/978-94-6463-872-1_13 ID - Sharma2025 ER -