Question: Is there a fit advisor software that can help increase online conversions and average order value for fashion retailers?

WAIR is a Fit Tech AI specifically designed for e-commerce sites. It provides personalized and accurate size recommendations to reduce return rates and increase conversion rates. By using a database of 3D body scans, WAIR can recommend sizes based on body type and product wear patterns. The integration can also help with shopper size guidance and reduce support tickets, and provide real-time shopper insights and targeted marketing. WAIR has demonstrated a 27.9% conversion rate and 19.1% lower return rate in A/B testing.

Another option is EyeFitU. The tool uses AI, data and advanced analytics to offer personalized size recommendations through its SizeFinder feature and personalized imagery of how garments fit through SizeVisualizer. It also offers aggregated customer data, including behavioral analytics, that can help optimize manufacturing and improve customer satisfaction. EyeFitU integrates with e-commerce sites using Oracle, Shopify and WooCommerce, and has seen its clients experience improvements in conversion rates, average order value and return rates.

Fit Analytics offers personalized size advice based on customers' body measurements, purchase history and return data. The system can be easily integrated into e-commerce sites and uses machine learning technology to identify patterns in purchase and return data. Fit Analytics clients have seen a notable 4-6% increase in conversion rates and a 2-4% decrease in return rates, making it a good option for improving customer satisfaction and reducing returns.

For a more sophisticated option, Stylitics offers inspirational commerce solutions with AI-powered styling and bundling content. Ways to Wear It, Shop the Model and Recommended for Me offer personalized product recommendations and outfit combinations. Stylitics has been trusted by top retailers, resulting in significant increases in average order value, conversion rates, and customer loyalty.