Embed AI Search & Filter Implementation
Industry
Fashion
Platform
BigCommerce
Challenge
Solution
Increase in Average Purchase Price
Increase in conversion rate from search
Longer sessions
About
About
Francesca’s, a leading women’s fashion and lifestyle retailer, sought to enhance its customers’ shopping experience by optimizing product discovery and search functionality. Collaborating with BigCommerce and leveraging Fast Simon’s advanced search and filter solutions, Francesca’s successfully transformed its eCommerce platform into an intuitive, shopper-friendly destination.
Challenges
- Discovery Complexity Within Extensive Product Catalog
- Achieving High Conversion Optimization
- Facilitating Growing Scalability Needs
- Finding Suitable Flexibility In Search
Solutions
Fast Simon’s intelligent search uses natural language processing, vector search and personalized dynamic filters. This creates an advanced search providing speedy and accurate results for users.
Shoppers now experience optimized filters such as price, size, color, and style, improving navigation. These filters can be personalized based on users’ past actions, leading to improved customer satisfaction and conversions.
Fast Simon’s AI driven merchandising strategy allows you to make the best merchandising decisions for your business, based on algorithm analysis. This includes the integration of product recommendations and dynamic ranking for personalized shopping journeys.
Fast Simon’s Hybrid search allows for an intelligent AI backed vector search, that does not rely solely on keywords. Different data mediums such as image or voice can be used to identify products within Fransesca’s extensive catalog.
Results
Increased Conversions: Francesca’s saw a 30% boost in conversion rates after implementing the solution. Improved Search Speed: Search query responses now occur 50% faster, creating a seamless browsing experience. Higher Customer Satisfaction: Post-implementation surveys revealed a 20% improvement in customer satisfaction scores.
