AI-Powered Search Relevance for Seamless Experiences

Nous, en chiffres

Les chiffres parlent. C’est pourquoi nous aimons les données.
Voici ce que disent les nôtres.

~40 % consacrés à la R&D
750+ employés
500,000 Monthly search engagements

The Project Management Institute (PMI) empowers people to make ideas a reality. The global body provides training documents to millions of changemakers in more than 200 countries and local languages.

Machine Learning-powered search

Problem: PMI wanted visitors from organic web search to seamlessly continue navigation — and this needed to scale to thousands of visitors and across seven search interfaces in 200 languages.

Solution: PMI improved the digital experience for visitors from over 500,000 monthly searches by displaying a dropdown carousel of potentially more relevant products to users arriving from Google Shopping. This increased the chances of conversion through five additional products being featured on a carousel.

76%

website clicks suggested by Automatic Relevance Tuning (ART) model

Data-driven analytics for improved search experience

Problem: With seven search hubs, visitors could arrive on PMI’s digital experience through different touchpoints. Content needed to be available across them all, remaining accessible even as site traffic grew. Yet PMI’s vast content repository was walled up in a DAM platform that used a preset taxonomy, making it difficult to search through.

Solution: With Coveo deployed as their enterprise search engine, PMI converted legacy taxonomy items into search filters. This intuitive organization was not only familiar to visitors, but it also made it easy for PMI to track the visitor language and behavior used to find and interact with information throughout the digital journey.

38%

Search CTR on Learning Library

Closing gaps through machine learning

PMI’s desire to serve project managers has played out in its partnership with Coveo. The AI features helped a transition to easy-to-navigate properties that maintain authority and decrease customer journey friction. Machine learning algorithms have been key to leveraging their vast library and making the knowledge there accessible to new and existing customers who find their site through search.

The predictive AI technology also helps them utilize historical data from visitors in a meaningful way that will continue to power improvements and an overall more engaging content hub.

Our content gaps are really low and that’s excellent. We’ve been able to track that over time and see that the machine learning is surfacing the content that our visitors are searching for and engaging with.So we know we’re on target.

Anna Neill

Taxonomist

Take a look inside

How PMI uses Coveo's AI solution to streamline content discovery across their store, corporate website, learning library, and more. (Page 5)
How PMI fills in content gaps and addresses learning needs by using site behavior data to make informed decisions. (Page 6)
How AI data analytics keep PMI adding to their growing taxonomy and serving site visitors with relevant search results. (Page 9)