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Biscuit AI - Smart Wine Recommendation Chatbot

The goal of this project was to create a smart chatbot that helps users find the perfect wine or beverage based on their personal preferences. We aimed to go beyond basic recommendations by considering factors like wine types, tasting profiles, and food pairings. The challenge was to design a system that could understand user needs and provide accurate, personalised suggestions.

Igniting Powerful INSIGHTS

The Challenge

The goal of this project was to create a smart chatbot that helps users find the perfect wine or beverage based on their personal preferences. We aimed to go beyond basic recommendations by considering factors like wine types, tasting profiles, and food pairings. The challenge was to design a system that could understand user needs and provide accurate, personalised suggestions.

Complexity and Innovation

The complexity of Biscuit AI came from combining various types of information and using advanced technology to deliver personalised recommendations. We innovated by integrating multiple AI tools and techniques to provide not just recommendations but also useful information about wines, making it a versatile and helpful chatbot.

The Process

Client Collaboration:We started by working closely with our client to understand their vision. They wanted a chatbot that could provide tailored recommendations for wines and beverages based on users’ interests and needs. This included suggesting wines for special occasions and providing detailed information about different wine varieties. We used this feedback to build a solution using advanced AI technologies.

Adaptive Learning for Enhanced Accuracy

To improve recommendation precision, Biscuit AI continuously learns from user interactions. It refines its suggestions based on previous choices, feedback, and emerging wine trends, ensuring a more intuitive and refined experience over time.

Feature Inventory

Enhancing User Experience in Wine Selection

Choosing the right wine can be overwhelming, especially for those unfamiliar with different wine varieties.

Biscuit AI simplifies this by offering highly personalised recommendations based on user preferences and meal pairings. Core Features:

  • Personalised Beverage Recommendations: Suggests wines based on user preferences and tastes.
  • Dynamic Inventory Checks: Ensures recommendations reflect current stock and reviews.
  • Food Pairing Assistance: Recommends wines that complement specific meals or cuisines.
  • Special Occasion Handling: Offers tailored suggestions for premium or prestigious wines.
  • Knowledge Base Insights: Provides informative content about different wine varieties and trends.
  • Adaptive Learning: Improves recommendations over time by analysing user interactions and preferences.

"Wine selection should be effortless, intuitive, and tailored to personal taste—Biscuit AI makes that a reality."

Lincoln Smith
CEO - BiscuitAI
Wine Recommendations with AI

Blending AI with Intuitive User Experience

To address the challenges of wine selection, we developed Biscuit AI, an advanced chatbot that combines sophisticated machine learning techniques with user-friendly interaction.

This ensures seamless and precise wine recommendations. Solution Implementation:

  • Client Collaboration: Utilised LangChain, LangGraph, and OpenAI’s LLM models to analyse user inputs and generate personalised suggestions.
  • Dynamic Inventory Integration: Integrated Pinecone DB and MySQL to cross-check stock availability in real-time.
  • Retrieval-Augmented Generation (RAG): Implemented to retrieve relevant wine details from the knowledge base.
  • Food & Occasion Pairing: Ensured recommendations aligned with meal preferences and special occasions.
  • Continuous Learning: Adaptive AI that improves over time based on user behavior and preferences.
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Conclusion

Transforming How Users Choose Wines

Biscuit AI successfully streamlined wine selection by offering expert-level recommendations tailored to user preferences. By integrating AI-driven technology, we provided a solution that simplifies decision-making and enhances user engagement.

  • Higher Engagement Levels: Increased user interaction by 70% through personalised suggestions.
  • Faster Decision-Making: Reduced search time for suitable wines by 80%.
  • Improved Customer Satisfaction: Users reported greater confidence in wine choices.
  • Scalable & Adaptable: Designed to cater to different beverage industries beyond wine.