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.
Industries
Apparel & Fashion
When Tudors launched Loops AI’s chat agent across its digital journey, the goal wasn’t more traffic — it was smarter buying experiences. Within weeks, AI transformed how customers discovered, evaluated, and purchased products, breaking long-standing seasonal performance patterns and driving measurable growth across conversion efficiency, engagement depth, and revenue performance.
The result wasn’t just growth, it was higher-quality growth driven by confidence, personalization, and intelligent commerce experiences.
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.
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.
AI Shopping Assistant on Tudors.com
In May 2025, Tudors deployed a conversational AI shopping assistant directly on its website. The agent provided:
Personalized product recommendations
Fit and size guidance
Contextual styling advice
Real-time decision support
Rather than short, transactional chatbot interactions, customers began engaging in deeper conversations, increasing session duration by more than 2x and outperforming typical chatbot benchmarks by 4x.
The experience shifted the journey from static browsing to guided discovery, mirroring the expertise of an in-store stylist at digital scale.
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
Deeper Engagement Across the Journey
Chatbot session time increased 2x+ — reaching nearly 4x the median performance of typical ecommerce chatbots.
Customer question volume rose by approximately 6%, indicating higher intent and increased reliance on AI guidance during purchase decisions
Interaction events grew 40%, signaling stronger exploration and discovery behaviors.
Conversion-Optimized Guidance
Instead of simply retrieving products, the agent guided users through decision moments, increasing buying confidence while maintaining stable return rates.
