OMR
What Is Agentic Personalization?
How personalized can a customer experience really be? This question has always troubled businesses, and for years, the answer depended on the number of preset rules, back-end configurations, and manual tweaks you had in place. It took a lot of time, energy, and hands-on execution to get close to a personalized experience. But agentic personalization […]
How To Measure the ROI of Machine Learning in Ecommerce
Warren Buffett has two simple rules for smart investing: These same rules apply to investing in AI for ecommerce. Machine learning can boost revenue, improve customer experience, and automate key processes. But how do you know if it’s actually paying off? Unlike ad campaigns or email marketing, where results are easy to track, AI’s impact […]
5 Critical Customer Loyalty Questions (And Expert Advice To Solve Them)
Building customer loyalty is a goal for every brand, but that doesn’t mean there’s a simple, one-size-fits-all solution. It’s a constant challenge that often leaves brands searching for answers. That’s why we went straight to the experts. We teamed up with our trusted partners Shopify, Loyalty & Reward Co, and Antavo to tackle your most […]
How AI Improves Search by Understanding Customer Intent
Worried about choosing the right keywords? You’re not alone. For years, ecommerce search has been all about finding the perfect keywords, the idea being that only the right search terms would connect your target audience with the right products. Many companies still rely on this keyword-first approach, despite its many limitations. A typo or unconventional […]
Balancing Search Tradition and Transformation With Bloomreach Clarity
It’s clear that people want conversational experiences when shopping — after all, we’ve already been seeing some incredible results with Bloomreach Clarity, our conversational AI shopping agent. But the path to Clarity wasn’t always a straightforward one. When dealing with transformative technology, there’s always a fine balance to handle the evolution of user behaviors from […]
