Abstract:
Nowadays, the way we shop online, influenced by endless ads and changing trends,
means we often end up with items we rarely use. This not only poses problems for us but
also impacts the environment. Despite being a promising alternative, modern barter trade
still struggles with efficiently swapping goods. This study seeks to overcome these
challenges by exploring the effectiveness of digital platforms in improving the efficiency
of barter trading. This research primarily focuses on two features: an intuitive seamless
messaging system and an auto-recommendation tool for predicting product trends based
on top categories. The messaging system helps users build trust and stay transparent with
each other., enabling them to negotiate, discuss item conditions, and coordinate
exchanges effectively. Better communication reduces misunderstandings. This makes
transactions smoother and improves the overall experience, helping to build a strong
community. Additionally, the auto-recommendation feature provides users with
automated insights into the latest product trends, helping them stay informed and make
smart trading decisions. By simplifying the process of finding suitable items for
exchange, this feature enhances the bartering experience, boosting user engagement and
satisfaction.
