For a global leader in the adhesive industry, managing a portfolio of thousands of SKUs is a monumental task. With diverse technical specifications and geography-based pricing, even seasoned sales executives at Pidilite found themselves spending more time mining for data than engaging with customers.  

‍

The Sales Enablement Hurdle  

The primary bottleneck was the sheer volume and variety of data. Critical product insights were scattered across PDFs, technical word docs, and even video and audio files. This fragmentation led to inaccuracies in product recommendations and created a steep learning curve for new product launches, requiring significant training efforts.  

‍

Empowering the Front Line with Gen AI  

To bridge this gap, the organization partnered with Exponentia.ai to deploy a Generative AI-powered discovery solution. This wasn't just a search tool; it was an intelligence layer built on OpenAI and Databricks. By implementing a Retrieval-Augmented Generation (RAG) framework, we transformed static product documents into a conversational knowledge base.  

The solution involved building secure, real-time data pipelines capable of processing multi-modal information. Whether the data was in a spreadsheet or a video tutorial, the sales team could now access it through a single, unified Chat and Search interface.  

‍

The Impact and Conclusion

The transformation redefined field efficiency. The organization realized a 90%+ reduction in information mining time, allowing sales teams to find technical details in seconds rather than minutes. Furthermore, front-line enablement effort was slashed by 80%, drastically reducing the time-to-market for new recruits and product launches.  

‍

Conclusion

By moving from fragmented information systems to an intelligent, RAG-driven foundation, this adhesive leader has turned technical complexity into a competitive advantage. They are no longer just selling products; they are providing faster, data-driven recommendations that enhance the customer experience at every touchpoint.