Multinational Healthcare Services Company
Powering AI-Driven Personalized Discovery Across a Massive Search Index
What if...we could transform billions of data points into actionable insights, enhancing search efficiency, and personalizing user experiences to drive better outcomes?
Powering Personalized Discovery Across a Massive Search Index
The healthcare services company has a pharmaceutical ordering and research digital hub used by pharmacies, hospitals, and medical institutions worldwide. The platform was unable to manage the billions of data points resulting from its massive search index and complex business requirements, including more than 150,000 SKUs and unique pricing and entitlements for more than 500,000 contracts across hundreds of thousands of users. This led to issues with search, indexing, and merchandising and impacted the user experience.
Taming an Unmanageable Search Experience
One problem the platform presented was that the total number of searchable items was unmanageable. We leveraged Coveo dictionaries to more intelligently index data, which reduced the number of items in the index from billions to less than 250,000 and dramatically increased query speed with no caching of search results.
Another issue was that each indexing run to refresh the platform’s data took almost 30 hours. To fix this, we implemented event-driven indexing that keeps the catalog, pricing, and entitlements up to date in near real time.
To improve merchandising, we transitioned our client from a one-size-fits-all experience to personalization with Coveo’s machine learning and personalization capabilities. This optimizes outcomes for each customer and enhances not only merchandising but product placement and page views.
One of the largest Coveo implementations to date, this success was made possible through deep collaboration between Perficient, the client, and our teams, transforming a once-unmanageable search experience into a high-performance, personalized journey.Marc Sanfacon, Chief Technology Officer at Coveo
Results
Successfully Executing One of the Largest-Ever Coveo Implementations
This project was complex and one of the largest-ever Coveo implementations. Billions of data points were loaded into Coveo to power the experience. To accomplish this, we collaborated with more than a dozen teams at the company including data, HCL Commerce, Adobe AEM, web development, and QA.
Reducing the scale of the platform’s search index and implementing event-driven indexing enabled rapid search queries and near-real-time data refreshes for a 99% more efficient search catalog. The solution significantly improved the user experience, which is further enhanced by AI-powered personalization.
