AI App for Wine Recommendation
Our custom LLM app for a wine e-commerce site streamlines wine shopping by offering personalized recommendations, comprehensive wine information and efficient responses to customer queries.
Requirement.
A Switzerland-based wine e-commerce company faced a significant challenge with its extensive range of more than 30,000 wines. Customers encountered difficulties in obtaining personalized wine recommendations and specific information about this vast collection. The process of navigating through thousands of URLs to find the perfect wine was complex and overwhelming for users. The company needed a solution to enhance the customer experience by providing personalized wine recommendations and detailed wine information and efficiently answering user queries.
Solution.
LeewayHertz, in collaboration with the wine e-commerce firm, created a unique AI application using ZBrain. This involved several vital steps, such as collecting and organizing the company’s data from the web and creating data embeddings, building a personalized knowledge base, and leveraging advanced techniques to provide relevant responses. The goal was to create a customized app that could effectively address customer inquiries, provide personalized wine suggestions, and offer detailed information about wines, ultimately improving the wine-shopping experience for users.
The App’s Features
Personalized Wine Recommendations
Efficient Search
Multilingual Support
Real-time Availability
Detailed Wine Profiles
A User-friendly Interface
How Does the App Help End Users?
- Users can access personalized wine recommendations based on their preferences.
- Quickly obtain information about wine types, prices, regions, and more
- Interact with the app in their preferred language, be it German or French.
- Receive detailed wine information, including descriptions, winery details, culinary recommendations, and grape varieties.
Final Product
Technologies Employed
ReactJS
Python
Django
NextJS
GPT-4
