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Industry
Retail
Challenge
Blue Bungalow, one of Australia’s leading fashion retailers, faced a common challenge in eCommerce—how to create a more engaging, seamless, and personalised shopping experience for customers online.
Results
The implementation of preezie’s AI shopping assistant led to significant improvements in customer engagement and conversions on Blue Bungalow’s website.
Key solution
AI shopping assistant
One of the biggest challenges we face online is sizing, and preezie’s AI shopping assistant helps solve this effortlessly. We stock over 150 different brands and invest significant time and resources in creating unique size guides for every product.
Background
Blue Bungalow, one of Australia’s leading fashion retailers, faced a common challenge in e-commerce—how to create a more engaging, seamless, and personalised shopping experience for customers online.
They wanted to implement AI-powered assistance to provide:
- Personalised product recommendations
- Accurate sizing guidance
- Product comparisons
- Instant answers to customer questions
The goal? To replicate the ease and support of an in-store shopping experience. To bring this vision to life, they partnered with preezie to implement an AI shopping assistant on their online store.
The challenge: Enhancing the online shopping experience
Blue Bungalow faced several key challenges in improving customer engagement:
- 1.) Navigating a large product catalogue – Customers needed an efficient way to - quickly find relevant products.
- 2.) Enhancing customer support – Frequently asked product-related queries risked overwhelming human support teams.
- 3.) Improving product discovery – Customers often spent time searching for alternatives, similar styles, or comparative options.
The solution: preezie’s AI shopping assistant
preezie developed a conversational AI assistant that acts as a virtual shopping guide, leveraging AI-driven orchestration and automation to create a more intelligent and adaptive experience.
This AI assistant enhances Blue Bungalow’s website with powerful capabilities, including:
1. Intelligent search and discovery
The assistant allows users to search for products effortlessly using natural language processing (NLP), interpreting search intent to deliver highly relevant results. Customers can interact with the AI as if speaking to a personal shopper, using queries like:
- "Show me floral dresses for summer."
- "Find me a red evening dress under $100."
- "I need shoes that match this outfit."
By incorporating contextual understanding and reasoning, the system continuously refines results, providing a more personalised and intuitive shopping experience.
2. Finding similar products
A key feature of the AI assistant is its ability to suggest closely matched alternatives, ensuring customers find products that align with their preferences. By leveraging embeddings and contextual analysis, the assistant enhances similarity detection, delivering recommendations based on individual shopping behaviours.
The AI assistant can:
- Retrieve similar items based on colour, style, and price.
- Suggest substitutes for out-of-stock items, keeping customers engaged.
- Provide visually similar products using advanced image recognition models.
3. Product comparisons
To help shoppers make informed purchasing decisions, the AI assistant provides side-by-side product comparisons, dynamically structuring and summarising key attributes. This allows users to:
- See key differences in fabric, fit, and price.
- Review customer feedback and ratings in a clear, easy-to-digest format.
- Explore alternatives across different price ranges to find the best option within their budget.
4. Sizing guidance
preezie’s AI-driven personalisation transforms the sizing experience. By analysing size charts, product specifications, and individual body measurements, the AI shopping assistant delivers hyper-personalised sizing recommendations in real time.
Blue Bungalow’s E-commerce Manager, Rafaëlle Champagne, explains:
"One of the biggest challenges we face online is sizing, and preezie’s AI shopping assistant helps solve this effortlessly. We stock over 150 different brands and invest significant time and resources in creating unique size guides for every product. Our team manually recommends 'best fits' based on whether a garment runs large or small.
With preezie’s AI, this process becomes seamless. The assistant retrieves our sizing data and provides recommendations based on a shopper’s standard size, body measurements, or body shape. For example, a customer could say, ‘I’m 150 cm tall, apple-shaped, and my bust measurement is 160 cm. What size would you recommend?’ Within seconds, the AI delivers an accurate size recommendation based on the brand’s specific sizing data.
It provides instant, precise recommendations—faster and more efficiently than a human could."
Impact and results
The implementation of preezie’s AI shopping assistant led to significant improvements in customer engagement and conversions on Blue Bungalow’s website. Comparing customers who interacted with the AI assistant to those who did not, the following results were observed:
⏳ Time spent on site: Doubled among AI-engaged customers.
🛒 Add-to-cart rate: 40% higher among AI-engaged customers.
📈 Conversion rate: Increased by 85% to 110% among AI-engaged customers.
💰 Average Order Value (AOV): 7% higher among AI-engaged customers.
Final thoughts
The preezie AI shopping assistant has transformed Blue Bungalow’s online shopping experience, enhancing customer engagement, product discovery, and sales conversions. This AI-powered solution delivers hyper-personalised recommendations, precise size guidance, and seamless product comparisons, enabling shoppers to browse, compare, and purchase with confidence—all in real time.
Rafaëlle Champagne, Blue Bungalow’s E-commerce Manager, shares: "You can shop our whole website without ever leaving the home page!"
As preezie continues to push the boundaries of AI in e-commerce, we are excited to explore new capabilities that will make the preezie AI platform even more intuitive, personalised, and engaging for shoppers.
