Case Study
How Tudors Turned AI Into a Sesonal Growth Engine
Loops AI transformed how Tudors customers discover and buy, breaking seasonal performance plateaus and driving measurable growth in conversion, engagement, and revenue within weeks.
About the company
Tudors is a global apparel brand specializing in men’s shirts and accessories, operating under the philosophy of timeless elegance combined with accessible quality. Since its founding in 1998, the brand has expanded to over 240 retail locations across 16 countries while building a growing digital commerce presence.
The result wasn’t just growth, it was higher-quality growth driven by confidence, personalization, and intelligent commerce experiences.
The Challenge
Breaking Beyond Traditional Ecommerce Limits
Tudors had already invested in digital growth, but traffic acquisition alone was no longer enough. Online performance followed predictable seasonal curves, and conversion gains plateaued.
The team needed to rethink how customers interacted with the brand online.
Key objectives included:
Breaking free from predictable seasonal performance patterns
Increasing shopper confidence around sizing, styling, and fit
Improving conversion efficiency even during traffic fluctuations
Driving profitable growth without increasing returns or low-quality purchases
Behind these goals was a deeper shift: Tudors wasn't looking for another plugin, they needed a smarter buying journey that could guide customers like a knowledgeable in-store associate.
"This project wasn’t just about implementing new tech; it was a conversion-first move for the business. The AI immediately delivered a sustained performance lift of 40% above our seasonal curve and a material increase in our profit."
Savaş Altuntaş, IT Director, Tudors
The Solution
A Conversion-First Agentic Commerce Strategy
Instead of redesigning the entire stack, Tudors implemented Loops AI as a semantic intelligence layer across key customer touchpoints, enabling more natural discovery, faster decision-making, and personalized product guidance.
Trendyol Q&A Automation
Launched in May 2025, Loops introduced AI-powered marketplace Q&A automation, instantly answering customer questions and removing friction during early discovery stages. Faster response times and contextual answers increased engagement signals, reflected in a measurable rise in customer events and question volume.
What Loops Delivered
The Architecture Behind the Experience
At the core of the implementation was Loops’ Semantic Intelligence Layer, allowing AI agents to understand customer intent, product attributes, and context simultaneously.
Intent-Driven Discovery
Customers could describe needs naturally rather than relying on rigid filters or keywords.
Pre-Purchase Confidence
By answering sizing, styling, and product questions instantly, the agent reduced hesitation — one of the biggest drivers of checkout abandonment, while increasing the total number of meaningful questions asked by shoppers.
Conversion-Optimized Guidance
Instead of simply retrieving products, the agent guided users through decision moments, increasing buying confidence while maintaining stable return rates.
The Results
The Architecture Behind the Experience
73%
Conversion Efficiency Increase
46%
More Units Sold Per Visitor
40%
Increase in Sales
Deeper Engagement Across the Journey
Session time increased 2x+, outperforming typical ecommerce chatbots by 4x. Interaction events grew 40%, signaling stronger exploration and discovery behavior throughout the purchase journey.
Conversion-Optimized Guidance
Instead of simply retrieving products, the agent guided users through decision moments, increasing buying confidence while maintaining stable return rates.