Learn how Steinhoff Uses Headless Architecture to Drive Omnichannel Strategy

Under the Hood: BloomReach Search

 

Wouldn’t it be great to have a high-performance, sporty and sexy car that is technologically savvy, personalizable and an absolute joy to drive? Imagine being in the driver’s seat of the new Tesla Roadster - for site search.

When up against the eCommerce giants you need top of the line tools that move fast and utilize your unique resources. Luckily, you have an explicit source of customer intent data to help you beat the competition. Site search queries give you real insights into what your customers want – what your most valuable, ready-to-buy customers want.

This guide shows how to turn those queries into fuel for an AI engine with robust search and merchandising tools that puts the (horse)power of scalable, customizable machine learning in your hands.

You'll learn:

  • How self-learning algorithms match customer intent to the right products

  • Why AI is more valuable when it can be customized to meet specific goals

  • The key features of superior search such as targeting, testing, and merchandising management

Useful for:

  • eCommerce, site search, and merchandising professionals


Download the guide now.

About Bloomreach Search
Bloomreach Search is an algorithmic site search solution designed to automatically improve relevance, eliminating the need for manual rule-writing and serving a personalized search experience for each of your visitors. It has garnered attention from Forrester for its machine learning capabilities and serves customers such as Staples, Neiman Marcus, Forever 21, Next, AllSaints and more.