EndorsedendorsedCompleted

AI Bartender Chatbot POC for Death & Co

Services Covered:

AI and Machine LearningChatbot DevelopmentWeb Application Development
Project hero — replace with case study imagery
Industry
Industry

Hospitality, Travel & Tourism

Duration
Duration

4 months

Budget
Budget

10K - 49K

Start Date
Start Date

1 January 2025

Team Size
Team Size

1-5

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

gauge meter
82/100
Strong

Project Capability Score (PCS) estimates how capable Valere is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS


Client

Death & Co

mapLos Angeles, United States of America

Project Summary

Valere developed a proof-of-concept AI bartender chatbot for Death & Co, delivering a single-page web app with a conversational chat interface, a brand-aligned AI personality, and integration with a 2,000+ cocktail recipe database. The team implemented RAG-based retrieval, user authentication and conversation tracking, and deployed a staging build ready for production. The chatbot achieved ~90% response accuracy and a production-ready foundation for future expansion.

Key Challenges

  • Build an AI-powered bartender chatbot
  • Provide conversational access to a 2,000+ cocktail recipe database
  • Deliver personalized recommendations based on user preferences and available ingredients
  • Capture customer data for marketing and engagement

Project Deliverables

  • Single-page web application with conversational chat interface
  • AI personality fine-tuned to match brand bartender voice
  • Integration with 2,000+ recipe database and intelligent retrieval
  • User authentication system with email/phone collection after three queries
  • Conversation history tracking (7-day retention)
  • Guardrails for cocktail-focused conversations with redirects
  • Ingredient substitution recommendation engine
  • Recipe generation capability based on core cocktail frameworks
  • Staging environment deployment (production-ready foundation)
  • Technical documentation and handoff materials

Project Solution

Valere developed a Proof of Concept AI bartender chatbot using React and Python with a RAG (Retrieval-Augmented Generation) framework. They built a single-page web application with a conversational chat interface, fine-tuned the AI personality to match Death & Co's bartender voice, and integrated intelligent retrieval from a 2,000+ recipe database. The scope included user authentication (email/phone after three queries), seven-day conversation history retention, guardrails to keep conversations cocktail-focused, ingredient substitution recommendations, a recipe-generation capability based on six core cocktail frameworks, staging deployment ready for production, and technical documentation and handoff materials. The work involved extensive prompt engineering, output refinement, and testing to achieve brand alignment and appropriate AI behavior.

Project Outcome

  • 90% accuracy rate: Chatbot provides correct, relevant responses from source materials 90% of the time
  • Additional 5-7% require minor tweaks but are fundamentally correct
  • 3-5% edge cases: incorrect responses due to conversation context issues
  • Staging build deployed and tested with real users
  • Production-ready foundation established for public launch and expansion
  • Brand voice achieved: AI mirrors Death & Co's professional bartender style
  • User data capture integrated: email/phone collection for marketing funnel

Platforms

  • WebWeb

Tech Stack

  • PythonPython
  • React.jsReact.js

Client Endorsement

Overall Review Rating

4.5star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

Valere delivered a chatbot with a 90% response accuracy rate, launched a user-tested staging build, and prepared a production-ready foundation. The AI personality also closely captured the brand’s professional bartending voice. Moreover, the team delivered on time and responded promptly to needs.

David Kaplan

CEO

Note: This endorsement is based on publicly available client feedback from external review sources.

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