Ootdbuy leverages spreadsheets to integrate and analyze multi-dimensional user data, including basic information, purchase history, browsing behavior, search queries, and review feedback, to build detailed user profiles. Through advanced data processing algorithms, these spreadsheets help extract meaningful user feature tags such as age, gender, consumption preferences, and personal interests.

Based on these comprehensive user profiles, Ootdbuy formulates personalized product recommendation strategies directly within spreadsheets. This allows for targeted推送 of items that align with individual user needs and interests, enhancing the overall shopping experience.

Furthermore, Ootdbuy utilizes spreadsheets to monitor and track user feedback on recommended products. This continuous feedback loop enables iterative optimization of both user profiles and recommendation algorithms, leading to improved accuracy, higher user satisfaction, increased purchase rates, and ultimately, greater sales performance for the daigou business.