Problem
Shipskart faced challenges with its search functionality, which was critical for connecting maritime buyers with suppliers. Users struggled with inaccurate and irrelevant search results, leading to inefficiencies and lost sales opportunities. As Shipskart’s catalog grew, ensuring precision and relevance in search results became increasingly complex, reducing user satisfaction and transaction volume.
The company needed a solution that could enhance search accuracy, improve the user experience, and drive higher transaction rates. Traditional keyword-based search methods were falling short, unable to interpret context or user intent effectively. This gap in search functionality directly impacted revenue and operational efficiency.
Solution
Shipskart partnered with Zams to implement a Generative AI-powered Catalogue Search model. This advanced AI system utilized natural language processing (NLP) and machine learning to understand user intent, delivering highly relevant and precise search results. By leveraging historical data and predictive analytics, the model continuously improved, ensuring better results over time.
With Zams’ expertise, Shipskart integrated the AI-driven search seamlessly into its platform. The solution reduced search friction, helping users find the right products faster. This transformation led to increased engagement, more efficient procurement processes, and a superior user experience.
Outcome
The AI-powered search model delivered remarkable results, achieving a 97% accuracy rate in search queries. This improvement streamlined the procurement process, reducing search time and enhancing decision-making efficiency for buyers and suppliers alike.
Additionally, Shipskart experienced a 35% increase in search efficiency, leading to a direct boost in transactions. The enhanced platform usability resulted in an increased transaction volume of $200,000, reinforcing Shipskart’s position as a leading e-procurement platform in the maritime industry.
