AI Avatar for Customer Engagement in Hospitality

AI Avatar for Customer Engagement: Transforming Wine Storytelling

DataArt developed an AI avatar for customer engagement that helped a Chilean vineyard bring its wine story to life across digital and physical channels. By combining multilingual conversational AI, Retrieval-Augmented Generation (RAG), and generative avatar technology, the solution delivered an interactive brand experience for trade shows and website visitors.

Challenge

The client needed a multilingual conversational AI avatar that could bring the story of its signature wine to life across trade shows and on its website. They sought a real-time conversational AI capable of answering natural language questions with accurate, domain-specific wine knowledge, while delivering high-quality, natural, and on-brand speech in multiple languages and regional accents.

The client required more than a static chatbot. They needed a conversational AI avatar that could represent the product while maintaining factual accuracy through a reliable knowledge engine.

Solution

DataArt delivered a PoC built around an interactive AI avatar for customer engagement, modeled as the client’s signature wine bottle. The solution combined conversational AI avatar capabilities, a RAG conversational AI knowledge engine, multilingual voice synthesis, and generative avatar technology, packaged in a flexible, embeddable interface designed for both digital and on-site experiences.

The solution was structured around five core capabilities:

Conversational Persona: The avatar was designed to “speak as the wine,” introducing its story and answering detailed questions using structured content curated for the PoC. This positioned the conversational AI avatar as a digital brand ambassador rather than a simple assistant.

RAG Knowledge Layer: A custom wine knowledge base was integrated using a RAG conversational AI workflow, ensuring responses remained factual, context-aware, and aligned with the client’s brand narrative.

Multilingual Voice and Accent Engineering: To deliver authentic, human-sounding communication, DataArt evaluated multiple TTS/ASR models and performed accent tuning. The PoC demonstrated multilingual conversational AI capabilities with natural English, Chilean Spanish, and Portuguese voices.

Avatar Creation from Static Artwork: With no video assets available, DataArt designed a synthetic training pipeline that transformed a single product image into a fully animated avatar with lip-sync and expressive motion.

Flexible Deployment Architecture: The solution was delivered as an embeddable HTML widget supporting web, kiosk, and API-driven environments. This architecture allows the AI avatar for customer engagement to scale across multiple touchpoints, from exhibitions to digital concierge use cases.

Highlights

Natural Voice and Accent Tuning

Human-like speech quality was achieved by combining multiple TTS models, fine-tuning parameters, and incorporating authentic Chilean Spanish voice samples.

Rapid Delivery

The complete PoC was built in approximately 38 engineering hours, demonstrating DataArt’s ability to rapidly prototype sophisticated multimodal AI solutions.

Creative Avatar Engineering from Limited Assets

Using only a static bottle image, DataArt engineered a workaround pipeline to generate a lifelike, animated avatar suitable for live interaction, demonstrating strong problem-solving in generative media.

Platform-Agnostic, Production-Oriented Design

The PoC architecture supports expansion into additional hospitality and retail scenarios, including virtual concierges and enhanced digital experiences powered by multilingual conversational AI.

Conclusion

This project demonstrates how an AI avatar for customer engagement can elevate brand storytelling beyond traditional digital interfaces. By combining a conversational AI avatar with a structured RAG knowledge layer and multilingual voice capabilities, DataArt delivered an immersive, scalable, and commercially viable experience.

For hospitality and retail brands seeking more interactive customer touchpoints, this model offers a clear path from concept to deployment.