Then there's Chatscout, this AI chat assistant that chats with shoppers in real-time, suggesting upsells and answering questions to cut cart abandonment. You get real-time analytics tracking revenue per search, multilingual support for global audiences, and a no-code merchandising editor that lets you tweak rankings without begging devs for help.
Oh, and typo tolerance? It's built-in, learning from user slip-ups to get smarter. These aren't gimmicks; they tackle the big pains like irrelevant results and lost sales. Who really benefits? Small Shopify owners juggling everything solo, mid-sized brands scaling up, and even big enterprises needing robust discovery.
Think fashion retailers using it to recommend accessories on the fly, or electronics stores guiding buyers through specs via chat- I've seen case studies where average order values jumped 20%. In my experience testing similar setups last year, it saved hours on manual tweaks, especially during holiday rushes when searches spike.
What sets Zevi apart from, say, Algolia or older Elasticsearch hacks? For one, its semantic AI feels more human- understands intent without endless rules. Integration's a breeze, no heavy coding, and the analytics are deeper, showing not just clicks but revenue impact. I was torn between it and a competitor initially, but Zevi's speed and 99.99% uptime won me over; others lag on multilingual stuff or require constant maintenance.
Plus, it's scalable without breaking the bank. Bottom line, if your site's search is meh, Zevi can transform it into a conversion machine. Give it a spin with their starter plan- you might be surprised how quickly sales pick up. I mean, why settle for basic when this feels like the future?