Modernizing Discovery with AI in Materials Industry
A leading global manufacturer in the specialty materials space sought to transform its product search experience. The organization’s keyword-based search system often failed to deliver relevant results, leaving users frustrated and engagement low.
- Industry:- Specialty Materials Manufacturing
- Solutions:- Generative
Overview
To address this, the company implemented an AI-powered search solution built on a modern data platform. Leveraging Generative AI, Natural Language Processing (NLP), and Semantic Search, the initiative dramatically improved the efficiency and accuracy of product discovery.
Solution Highlights
Key Outcomes
<p>60% reduction in product search time</p>
<p>80% increase in customer satisfaction</p>
<p>Improved engagement and conversion rates</p>
<p>Enhanced product relevance through AI-powered, context-aware results</p>
<p>New cross-selling and upselling opportunities</p>
Lessons Learned
<ul> <li>Combining multiple AI techniques (NLP, Generative AI, Semantic Search) enhances accuracy and user experience</li> <li>Centralized, clean, and accessible data is critical to effective AI implementation</li> <li>Ongoing testing and refinement improve long-term outcomes</li> <li>Scaling AI across functions can deliver new efficiencies and unlock growth</li> </ul>
Conclusion
For product-based businesses, especially manufacturers with vast catalogs, AI-driven search is a powerful competitive advantage. By integrating intelligent technologies with a robust data strategy, companies can revolutionize how customers find and interact with products. Smarter search isn't just about convenience it’s about creating value at every stage of the customer journey. AI enables faster decisions, deeper engagement, and better outcomes. As digital transformation accelerates, businesses that embrace AI in product discovery will be best positioned to lead.
