close
Right fit suggestions
Home / AI-ML / Retail / Case Study

Right Fit Suggestions is a feature that uses AI-ML to enhance the retail experience for both customers and staff. It allows customers to try on different outfits virtually, without the hassle of changing clothes or waiting in line. It also helps staff to provide personalized recommendations and feedback, based on the customer’s preferences and body measurements. With Right Fit Suggestions, customers can find the perfect outfit in minutes, and enjoy a seamless and satisfying shopping journey.

Benefits
  • Price predictions,
  • product categorization,
  • Visual search,
  • Voice search. 
  • Increased Sales and Conversions
Implementations
  • Natural Language Processing: Use NLP algorithms to enable voice search functionality, allowing customers to find products using voice commands. 
  • Customer Profiling: Use AI to create customer profiles based on browsing history, past purchases, and preferences to offer personalized product recommendations. 
  • Predictive Analytics for Pricing: Implement predictive analytics models that analyze historical sales data, market trends, and competitor pricing to make accurate price predictions. 
  • Chatbots and Virtual Assistants: Implement AI-powered chatbots or virtual assistants to engage with customers, answer their queries, and provide personalized shopping assistance. 
  • Recommendation Engines: Implement recommendation engines that utilize collaborative filtering and content-based filtering to suggest products based on customer behavior and item attributes. 
  • Customer Profiling: Use AI to create customer profiles based on browsing history, past purchases, and preferences to offer personalized product recommendations. 
  • Automotive and Car Dealerships: AI can be used to recommend suitable car models and features based on customer preferences and budget. 
  • Healthcare and Pharmaceuticals: Implement AI-powered product suggestions for over-the-counter medications and health-related products based on customer health profiles. 
  • Gift Retail: AI can be used to suggest personalized gift ideas based on the recipient's interests and past gift preferences. 
  • Subscription Services: Implement AI-driven subscription recommendations based on customer usage and behavior to enhance customer retention. 
  • Fashion Retail,E-commerce Platforms,Apparel and Clothing Brands,Beauty and Cosmetics,Electronics and Gadgets,Travel and Tourism.