Reduce Returns & Boost Sales with AI-Powered Swimwear Size Finder

Swimwear remains one of the most return-prone categories in fashion retail, with return rates reaching as high as 40%, compared to 30% for general apparel and 20% for footwear (WeSupplyLabs). Fit inconsistencies, brand sizing variations, and customer uncertainty lead to frequent size-based returns (Fibre2Fashion).

Strict hygiene policies further complicate returns, sometimes leading to customer dissatisfaction (LoopReturns). Additionally, the seasonal nature of swimwear results in peak return periods, increasing logistical challenges for retailers.

Why Swimwear Fit is a Complex Challenge

Choosing the right swimwear size depends on multiple factors, including the intended activity, fabric type, and fit preference. For instance:

  • Competitive swimmers require a snug fit to reduce drag and enhance performance.
  • Recreational swimmers prioritise comfort and flexibility.
  • Beachwear shoppers often focus on aesthetic appeal, choosing styles from high-waisted bikinis to full-coverage swimsuits.


AI-powered size finders address these complexities by dynamically adjusting recommendations based on
activity type, personal fit preferences, fabric properties, and even seasonal production variations.

How AI-Powered Sizing Solves the Problem

1. Personalised Fit Recommendations

AI sizing solutions, like Prime AI’s Swimwear Size Finder, analyse customer data, past purchases, and product specifications to recommend the best size. This minimises uncertainty and reduces the likelihood of returns.

2. Significant Reduction in Returns

By guiding customers to the right size before purchase, retailers using AI sizing solutions have seen return rates drop by up to 30% (Retail Gazette). This leads to cost savings, lower waste, and improved customer retention.

3. Enhanced Customer Confidence and Loyalty

AI-driven recommendations help shoppers make more informed decisions, increasing their confidence in purchases. Brands offering personalised fit experiences see a 15% higher customer retention rate (Forbes).

4. Data-Driven Insights for Retailers

AI tools provide valuable analytics on customer sizing trends, product fit issues, and demand forecasting. Retailers can use this data to optimise product design and inventory planning.

How Arena Uses Prime AI for Season-Level Swimwear Sizing Adjustments

Arena, a premier professional swimwear brand known for its Olympic and competitive swimming expertise, partners with Prime AI to enhance its sizing accuracy. This collaboration ensures that athletes and casual swimmers alike receive precise fit recommendations, reducing return rates and improving customer satisfaction.

Prime AI’s advanced technology continuously refines its sizing recommendations by leveraging real-world fit data. Whether for high-performance racing suits or everyday training gear, Prime AI optimises fit based on multiple factors, including activity type, fabric properties, and seasonal production variations.

Key Benefits of Prime AI for Arena’s Sizing Accuracy:

  • Tailored Fit for Different Activities – Competitive swimwear requires a compressive fit for hydrodynamics, while recreational swimwear prioritises comfort and flexibility.
  • Material-Specific Adjustments – AI accounts for fabric stretch, compression, and elasticity, ensuring accurate sizing across Arena’s diverse product range.
  • Seasonal Fit Variations – Identical swimsuits from different seasons (e.g., SS23 vs. FW24) may have subtle sizing differences due to production updates. Prime AI uniquely detects and adjusts for these variations, ensuring consistency.
  • Data-Driven Precision – By integrating athlete feedback and consumer purchasing data, Prime AI continuously enhances its accuracy, making sizing recommendations more reliable over time.

Through this partnership, Arena delivers best-in-class swimwear sizing, ensuring every customer gets a perfect fit, whether they are training, competing, or enjoying a casual swim.

AI-Powered Sizing in Action: Retailer Success Stories

Case Study: O’Neill – Reducing Refunds with AI-Powered Sizing

O’Neill, a leading swimwear and sportswear brand, integrated Prime AI’s sizing technology to enhance the accuracy of their size recommendations. By implementing AI-powered fit tools, they saw:

  • 25% reduction in refunds, as customers received more precise sizing guidance tailored to their needs.
  • Higher conversion rates, with more customers purchasing with confidence.
  • Improved customer satisfaction, with fewer complaints regarding fit-related issues.


By leveraging AI, O’Neill streamlined its sizing process, minimised unnecessary returns, and boosted sales while improving customer trust.

Read the full case study here.

Case Study: Playful Promises – AI Sizing for Lingerie

Playful Promises, a leading lingerie brand, leveraged Prime AI’s advanced fit technology to improve its sizing accuracy. Lingerie, much like swimwear, presents unique sizing challenges due to its intimate nature, varying fabric elasticity, and the need for precise bust support. Returns are often more complex due to hygiene policies, making accurate size recommendations crucial for reducing exchanges and improving customer satisfaction. AI-driven sizing has played a crucial role in offering accurate, personalised recommendations before purchase, enhancing shopper confidence and reducing return rates. By implementing AI fit recommendations, Playful Promises experienced: 

  • 22% reduction in size-related returns
  • Increased shopper confidence, as customers received personalised fit guidance, leading to fewer size exchanges.


Learn more about their success here.

How Retailers Can Implement AI Sizing Today

1. Seamless Integration with E-commerce Platforms

Retailers can implement Prime AI’s Swimwear Size Finder into their Shopify, Magento, or custom platforms with minimal effort.

2. Educating Customers on AI Sizing

Clear explanations, case studies, and social proof encourage adoption of AI-generated fit recommendations.

3. Optimising Product Pages for AI Fit Recommendations

Displaying AI-powered sizing suggestions on product pages ensures shoppers engage with the tool before making a purchase.

4. Leveraging AI Data for Business Growth

Retailers can use AI-generated fit insights to optimise stock levels, improve product design, and personalise marketing efforts.

The Time to Adopt AI Sizing is Now

Retailers who integrate AI-driven fit technology will reduce returns, boost conversions, and improve overall customer satisfaction. In 2025, AI-powered sizing solutions are not just an advantage, they are a necessity for competitive fashion retailers.

By adopting Prime AI’s Swimwear Size Finder, UK fashion retailers can offer a seamless, engaging, and data-driven shopping experience that enhances customer confidence and maximises profitability.

Get Started Today – Explore Prime AI’s Swimwear Size Finder and discover how AI can transform your swimwear sales. Contact us now!

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