Intelligent Search That Knows "Close Enough" Isn't Good Enough

Search intelligence has many different forms. But Bloomreach’s intelligent search uses artificial intelligence — like NLP and machine learning — to understand a customer’s intent. This helps brands put the right products or services in front of the right eyes at the right time.

There are many things AI can help with, but the most impactful is scalability. Once you have more than 1,000 products in your catalog, trying to manage and optimize for revenue through rules becomes a full-time job. Instead of improving, you'll get stuck troubleshooting issues as rules overlap each other. AI optimizes the majority of searches, letting you focus on the top 20% you want to control.

A search intelligence platform will include four engines: relevance, optimization, personalization, and customization. These nuts and bolts of e-commerce search (aka the “engines”) work together to address site search issues. They work to surface the most relevant results to increase revenue.

One of our favorite examples of intelligent search is “milk chocolate” vs. “chocolate milk.” These queries have very different intents and contexts behind them. But one of the many things search intelligence can do is separate products from their attributes. Another example of intelligent search is detecting the similarities between 3”, 3 in, and 3 inch screws and still returning the same result set.