Ai systems for seamless customer experience and product customization in e-commerce Abstract



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AI systems for seamless customer experience and product customization in e

Gain better data about customers. Offering product personalization through customization software can give your brand even more insight into your customers. Based on the different features that customers select in their favorite products, you can gauge customers' tastes and preferences. Using this information, you can make personalized product recommendations that are likely to appeal to them and keep them coming back.

Conclusion
Ecommerce personalization, at its core, is about creating uniquely tailored experiences for customers online. In the early days of the web, it could be as simple as suggesting products customers may like, based on viewing history. As technology advanced, ecommerce personalization methods became more advanced. With more data points to collect, retailers can use customer data such as browsing history, viewing location, age demographics, or previous purchases to create a unique online shopping experience.

References:

  1. Bharat Poddar, Yogesh Mishra, and Anandapadmanabhan Ramabhadran. Transform Customer Journeys at Scale—and Transform Your Business. The Boston Consulting Group (BCG) (2019). Accessed from https://www.bcg.com/enin/publications/2019/transform-customer-journeys-scale-transform-business

  2. V. Kumar, Bharath Rajan, Rajkumar Venkatesan, and Jim Lecinski. “Understanding the role of artificial intelligence in personalized engagement marketing.” California Management Review 61, no. 4 (2019): 135-155.

  3. Chung Hun Lee and David A. Cranage. “Personalisation–privacy paradox: The effects of personalisation and privacy assurance on customer responses to travel Web sites.” Tourism Management 32, no. 5 (2011): 987-994.

  4. https://www.threekit.com/blog/10-key-benefits-of-product-customization-in-ecommerce

  5. https://medium.com/geekculture/the-future-of-ecommerce-personalization-is-ai-c3c00085e705

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