---
title: "Real stores. Real sales. Real results."
url: "https://chatty.net/case-study/"
kind: "page"
description: "See how merchants turn conversations into revenue with Chatty's AI sales agent. Customer success stories from Decathlon, Gadcet, Montana West, Stonehenge Health, and more."
page: 1
total_pages: 1
---

# Real stores. Real sales. Real results.

See how merchants turn conversations into revenue with AI sales agent

- [High Tech Pet](https://chatty.net/case-study/md/high-tech-pet/): High Tech Pet builds automatic, collar-triggered pet doors that sell for up to $770, hardware that gets installed into a wall, a patio panel, or a sliding glass door. The whole company is about two people, and nobody sits on live chat. In its first ten weeks on Chatty, the AI answered 3,948 questions and turned about 1 in 6 buying conversations into a sale, closing every order on its own.
- [Barabas](https://chatty.net/case-study/md/baraba/): US menswear brand with 69,000+ lifetime orders. Customers buy for weddings, nights out, real occasions – and they have questions about fit, timing, and exchange policy before they commit. BARABAS® put AI on website, Instagram, and Facebook to catch those questions at the exact moment. $300K in AI-attributed revenue in year one. — "November and December used to mean hiring decisions. This year the AI just absorbed it. We didn't bring anyone extra on and had our two best months." — Managers • Barabas
- [Just Nutritive](https://chatty.net/case-study/md/just-nutritive/): Beauty customers don't ask "what's popular?" They ask "will this work for my thinning hair and sensitive scalp?" That's not a FAQ. That's a consultation. Here's how Just Nutritive answered 4,900 of them – and turned conversations into $167K.
- [Montana West](https://chatty.net/case-study/md/montana-west/): A fashion brand watched their inbox explode from 20 to 200+ daily chats during sales season. Their customers aren't just shopping. They're want gifts, style recomend and occasion plan. Here's how they turned chaos into thousands.
- [Stonehenge Health](https://chatty.net/case-study/md/stonehenge-health/): Every chat is a health decision. Supplement customers don't ask "Which color looks nice?" They ask "Will this help my condition?" Here's how AI learned the difference. — "Far exceeded expectations. Our previous AI chat solution was very rigid and could not respond to customers intents." — Contact Center Manager • Stonehenge Health
- [Yoeleo Bike](https://chatty.net/case-study/md/yoeleo-bike/): Picture this: A cyclist ready to drop $999 on SAT C50 DB PRO NxT SL2 wheels, but they need to confirm bearing compatibility with their frame first. One wrong answer means an expensive return. Chatty's AI could master their complex technical specifications and handle sophisticated compatibility questions.
- [Decathlon](https://chatty.net/case-study/md/decathlon/): Every product has tons of technical details. Customers need to know if those hiking boots fit wide feet, if that tent can handle Alpine weather, or if their bike is compatible with specific accessories. That's when Decathlon discovered something game-changing: Chatty's AI could actually learn their entire product catalog with 10,000 items in one night. — "We expected basic FAQ automation," admits Decathlon's manager. "What we got was a sales assistant that works alongside our team 24/7." — Product manager • Decathlon
- [Gadcet UK](https://chatty.net/case-study/md/gadcet-uk/): Here's the thing about gadget buyers: they research at midnight and expect answers immediately. The trade-in question goes unanswered. The query gets ignored. The sale moves on. That's when Gadcet put Chatty's AI across their website, Instagram, and Facebook – and discovered that 14,500 complex tech questions later, it could handle trade-ins, financing, and order issues better than a queue ever could.

## How Chatty AI sales agent is reshaping eCommerce

We're not building another chatbot.

We're building the chatbot that actually sells.

- 25,000+ eCommerce stores have used Chatty
- 5.3M+ Customer conversations handled
- 6,200+ Stores closing sales through chat
- $61M+ Assisted revenue from chat

25,000+ and 5.3M+: all time through 17 Sep 2026. 6,200+ and $61M+: 18 Apr 2025 to 17 Sep 2026. Chatty platform data, checked 17 Sep 2026.