Client Background
Fararti is a small business with a big creative heart. Based in Mexico, they specialize in beautiful, personalized photo gifts — from custom frames to handcrafted albums and keepsakes. Their mission is simple: help people relive their favorite memories through personalized art. As they put it, “We believe in the value of remembering, of creating things that connect people to their most beautiful moments.”
Their products are deeply customizable, thoughtful, and full of emotional value. But with such a wide variety of options and personalization paths, first-time visitors often didn’t know where to start.
Challenge / Problem
Fararti had a classic problem faced by creative, product-rich businesses: customers were visiting the site but not converting — and they didn’t know why. Bounce rates were high, but there were no clear signals explaining where or why potential buyers were dropping off.
It became clear that new visitors needed education — not just about the what, but the why behind Fararti’s products. Shoppers often didn’t grasp the depth o
f customization available or how personal and meaningful each gift could be. They needed help understanding their options, and a bit of hand-holding to navigate the creative process.
Solution
That’s where Omakase AI Voice came in — in the form of Tira, a friendly, intelligent digital agent now living on Fararti’s site.
Tira is more than just an automated assistant. She’s an always-on expert, trained on Fararti’s full catalog, brand voice, and customer journey. She speaks with new visitors, answers questions in real-time, and helps guide people toward the right gift for their needs — from selecting formats and photo layouts to explaining turnaround times and custom engraving options.
But the real breakthrough? Fararti can now listen back to customer conversations. Every interaction with Tira provides insight into what customers are asking, where they’re confused, and what language resonates. With Omakase’s conversation analytics, Fararti can now identify pain points in real-time and continuously improve both messaging and product education.
What used to be a black box of user behavior is now an open channel of customer intent.
