dc.description.abstract |
In today's digital era, impulsive consumer behavior, influenced by pervasive
advertising and ever-changing trends, leads to the accumulation of underused possessions
in households, posing challenges for both individuals and the environment. Barter trade,
as an alternative economic model, encounters hurdles in its contemporary application,
particularly concerning goods exchange. This study aims to address these challenges by
examining the efficacy of digital platforms in enhancing barter trading efficiency.
The main focus of this study revolves around two key features: Intuitive seamless
messaging systems and Auto Recommendation for Predicting Product Trends Based on
Top Categories. The messaging system plays a crucial role in fostering trust and
transparency among barterers, facilitating negotiations, discussing item conditions, and
coordinating exchanges. Effective communication reduces misunderstandings and
ensures a smoother exchange process, thereby enhancing the overall user experience and
fostering a community-driven environment. Additionally, the auto recommendation
feature empowers users with automated insights into the latest trends in product listings,
enabling barterers to stay informed and make informed decisions. By streamlining the
process of finding suitable items for trade, this functionality contributes to a more
seamless and enriching bartering experience, ultimately enhancing user engagement and
satisfaction. |
en_US |