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A Systematic Review of Personalization Strategies in E-commerce: Examining their Impact on Customer Experience and Purchase Behavior

*Rista Nurdianasari orcid  -  Department of Management, Diponegoro University, Indonesia
Nor Hasliza Md. Saad orcid scopus  -  School of Management, Universiti Sains Malaysia, Malaysia

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Abstract

This systematic review examines the application of personalization strategies in e-commerce and their impact on customer experience and purchasing behavior. Drawing on 21 documents from the Scopus database, the review highlights the most pertinent strategies for product recommendations, user interface customization, and other advanced technologies, such as augmented reality (AR) and generative artificial intelligence (GENAI). The findings suggest that personalization enhances customer satisfaction, loyalty, and conversion rates; however, challenges like data privacy concerns, algorithmic bias, and implementation complexity persist. This review offers actionable insights for practitioners and identifies directions for future research, emphasizing ethical and scalable personalization practices to achieve optimal customer-centric outcomes.

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Keywords: E-commerce, strategies of personalization, customer experiences, buying behavior, data privacy

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  1. Ji G. Design of a computer-based personalized recommendation service system for e-commerce. 2024 2nd Int. Conf. Mechatronics, IoT Ind. Informatics, IEEE; 2024, p. 816–20
  2. Adeniran IA, Efunniyi CP, Osundare OS, Abhulimen AO. Transforming marketing strategies with data analytics: A study on customer behavior and personalization. Int J Manag Entrep Res 2024;6
  3. AG AG, Su H-K, Kuo W-K. Personalized E-commerce: Enhancing Customer Experience through Machine Learning-driven Personalization. 2024 IEEE Int. Conf. Inf. Technol. Electron. Intell. Commun. Syst., IEEE; 2024, p. 1–5
  4. Mohsin S. The Influence of AI-Driven Personalization on Consumer Decision-Making in E-Commerce Platforms. Al-Rafidain J Eng Sci 2024:249–61
  5. Ebadi Jalal M, Elmaghraby A. Analyzing the Dynamics of Customer Behavior: A New Perspective on Personalized Marketing through Counterfactual Analysis. J Theor Appl Electron Commer Res 2024;19:1660–81
  6. Sahu P, Mandal P. Unleashing the Power of Customer Personalization in the Digital Age With Artificial Intelligence. Improv. Serv. Qual. Cust. Engagem. With Mark. Intell., IGI Global; 2024, p. 97–113
  7. Asha AI, Hasan SK, Islam A. The Role of Big Data Analytics in Personalized Marketing : Enhancing Consumer Engagement and Business Outcomes n.d.;6:1–22
  8. Okeke NI, Alabi OA, Igwe AN, Ofodile OC, Ewim CP. Personalized customer journeys for underserved communities : Tailoring solutions to address unique needs 2024
  9. Kumar MT, Kumar N, Sha SN, Kennedy EN, Ilankadhir M. E-commerce Strategies in the Digital Age Enhancing Customer Experience and Market Reach. 2024 Int. Conf. Adv. Comput. Commun. Appl. Informatics, IEEE; 2024, p. 1–7
  10. Thakur HK, Singh J, Saxena A, Bhaskar D, Singh AP, Garg PK. Enhancing Customer Experience through AI-Powered Personalization: A Data Science Perspective in E-Commerce. 2024 Int. Conf. Commun. Comput. Sci. Eng., IEEE; 2024, p. 501–6
  11. Lv Q. Personalized Search Algorithm for E-Commerce Based on Knowledge Map and Collaborative Filtering. 2024 Int. Conf. Telecommun. Power Electron., IEEE; 2024, p. 358–63
  12. Wilson G, Brown W, Johnson O. Technological Innovations and Their Effect on Retail Marketing Effectiveness 2024
  13. Gao Y, Liu H. Artificial intelligence-enabled personalization in interactive marketing: a customer journey perspective. J Res Interact Mark 2023;17:663–80
  14. Guduru VS. Enhancing Customer Experience with Personalized Data Strategies in Salesforce Data Cloud. J Math Comput Appl 2024:1–5. https://doi.org/10.47363/JMCA/2023(2)E112
  15. Tran MT. Unlocking the AI-Powered Customer Experience: Personalized Service, Enhanced Engagement, and Data-Driven Strategies for E-Commerce Applications. Enhancing Predict. Digit. Consum. Behav. with AI, IGI Global; 2024, p. 375–82
  16. Bozkurt S, Uğursoy AS, Meral SP. The Impact of Personalized Messages and Designs on Consumer Experiences and Marketing Communications in Technology: Hyper-Personalization. Impact Contemp. Technol. Art Des., IGI Global; 2025, p. 135–64
  17. Sajan V, PS R. Smart moves: Flipkart’s name-personalized nudging techniques to combat cart abandonment. J Inf Technol Teach Cases 2024:20438869241301080
  18. Kumaar P, Abisha D, Rajesh P. WRISTVIEW: Augmented Reality and Generative AI Integration for Enhanced Online Shopping Experiences. 2024 8th Int. Conf. I-SMAC (IoT Soc. Mobile, Anal. Cloud)(I-SMAC), IEEE; 2024, p. 1115–20
  19. Krishnan C, Mariappan J. The AI Revolution in E-Commerce: Personalization and Predictive Analytics. Role Explain. Artif. Intell. E-Commerce, Springer; 2024, p. 53–64
  20. Gupta N, Comar PM. Quantifying customer interactions on ML optimized page layouts. Proc. Int. Conf. Adv. Soc. Networks Anal. Min., 2023, p. 502–8
  21. Pande A, Ghosh K, Park R. Personalized Category Frequency prediction for Buy It Again recommendations. Proc. 17th ACM Conf. Recomm. Syst., 2023, p. 730–6
  22. Nguyen N-T, Tran T-T, Dang C-L. Determinants of students’ satisfaction with e-commerce services in Ho Chi Minh City, Vietnam. J Glob Bus Adv 2022;15:764–81
  23. Grosso C. Enhancing Users’ Digital Social Interactions While Shopping via Online Sales Configurators. Mass Cust. Cust. Centricity Honor Contrib. Cipriano Forza, Springer; 2023, p. 211–38
  24. Ćebek V, Antolović S, Kramarić C. Factors Affecting the Use of Online Recommendation Systems in E-Commerce in Croatia. 2023 46th MIPRO ICT Electron. Conv., IEEE; 2023, p. 1387–91
  25. Sikandar MA, Munari PK, Arli M. A Systematic Literature Review of the Impact of Artificial Intelligence on Customer Experience. Mach Learn Bus Anal 2022:117–27
  26. Moura S, Reis JL, Rodrigues LS. The Artificial Intelligence in the Personalisation of the Customer Journey–a literature review 2021
  27. Chen Q, Lin J, Zhang Y, Yang H, Zhou J, Tang J. Towards knowledge-based personalized product description generation in e-commerce. Proc. 25th ACM SIGKDD Int. Conf. Knowl. Discov. Data Min., 2019, p. 3040–50
  28. Jain G, Rakesh S, Nabi MK, Chaturvedi KR. Hyper-personalization–fashion sustainability through digital clienteling. Res J Text Appar 2018;22:320–34
  29. Pappas IO. User experience in personalized online shopping: a fuzzy-set analysis. Eur J Mark 2018;52:1679–703
  30. Nkwo M, Orji R, Nwokeji JC, Ndulue C. E-Commerce Personalization in Africa: A Comparative Analysis of Jumia and Konga. PPT@ Persuas., 2018, p. 68–76
  31. Moslehpour M, Thanh HLT, Van Kien P. Technology perception, personality traits and online purchase intention of Taiwanese consumers. Int. Conf. Thail. Econom. Soc., Springer; 2017, p. 392–407
  32. Pappas IO, Kourouthanassis PE, Giannakos MN, Lekakos G. The interplay of online shopping motivations and experiential factors on personalized e-commerce: A complexity theory approach. Telemat Informatics 2017;34:730–42
  33. Sivathanu B. Enhancing the customer’s experience in a digital world: An empirical study. Int J Appl Bus Econ Res 2017;15:487–95
  34. Pereira HG, Cardoso M, Dionísio P. The determinants of website purchases: the role of e-customer loyalty and word-of-mouth. Int J Electron Mark Retail 2017;8:136–56
  35. Bilgihan A, Kandampully J, Zhang T. Towards a unified customer experience in online shopping environments: Antecedents and outcomes. Int J Qual Serv Sci 2016;8:102–19
  36. Pappas I, Mikalef P, Giannakos M. User experience in personalized e-commerce: a configurational approach 2016
  37. Lee E-J, Park JK. Online service personalization for apparel shopping. J Retail Consum Serv 2009;16:83–91
  38. Nguyen VD, Pham TC, Le CH, Huynh TT, Le TH, Packianather M. An innovative and smart agriculture platform for improving the coffee value chain and supply chain. Mach. Learn. Mech. Based Soft Comput. Appl., Springer; 2023, p. 185–97

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