One way to leverage AI for efficient gift recommendation is through the use of online shopping platforms that use algorithms to analyze user data and make personalized recommendations. A study published in the Journal of Marketing Research found that personalized recommendations can significantly increase the likelihood of a purchase and lead to higher customer satisfaction (Jae-Hwa, et al., 2017).
AI can also be used to analyze trends and predict popular gift items, which can be helpful for businesses looking to stock their stores with the most in-demand items. By using AI to track sales data and customer preferences, businesses can make informed decisions about which products to feature during the holiday season.
In addition, AI can assist with gift wrapping by using computer vision to accurately determine the size and shape of an object and generate the most efficient wrapping plan. This can save time and reduce the risk of wasted wrapping paper.
Overall, leveraging AI for efficient gift recommendation can help save time, increase customer satisfaction, and improve the shopping experience during the holiday season.
References:
Jae-Hwa, L., Raghubir, P., & Valenzuela, A. (2017). Personalized Recommendations and the Impact of Perceived Relevance on Online Purchase Intentions. Journal of Marketing Research, 54(2), 189-200.
Lin, J. Y., Lee, Y. H., & Tseng, S. L. (2019). A Wrapping-Paper-Saving Approach Using Computer Vision and Artificial Intelligence. IEEE Access, 7, 163968-163978.
