AI-Powered Personalization in Wine E-Commerce

    Client: Cadelbosco Winery

    Category

    AI / E-Commerce

    Location

    Italy

    Engagement

    Since 2024

    Services

    AI Chatbot Implementation

    01

    Company Background

    Founded in 1920, Cadelbosco is a renowned Italian winery celebrated for its premium offerings, including Prosecco, Pinot Grigio, and artisanal red wines. While their products reflect impeccable Italian craftsmanship, the brand recognized a need to modernize their online shopping experience to better engage international customers and wine enthusiasts.

    Company Background
    02

    Business Challenge

    Business Challenge

    Despite their strong product portfolio, Cadelbosco faced several challenges with their online store:

    Customer hesitation

    Shoppers often needed expert guidance to select the right wines.

    Limited customer support availability

    Difficulty assisting global customers across various time zones.

    Information gaps

    Basic product descriptions fell short of delivering the rich details wine enthusiasts sought.

    Lower-than-expected conversion rates

    Online sales lagged despite the quality of offerings.

    Pearlbot.ai banner
    03

    The Pearlbot.ai Solution

    Cadelbosco deployed a customized Pearlbot.ai chatbot directly on their e-commerce platform. The solution was designed to:

    Offer personalized wine recommendations

    based on customer taste preferences, occasions, and food pairings.

    Provide detailed product insights

    including vineyard practices, tasting notes, and production methods.

    Assist in the ordering process

    clarifying shipping options and regional availability.

    Communicate in multiple languages

    enhancing support for a global audience.

    Pearlbot.ai Solution

    Pearlbot.ai enabled Cadelbosco to deliver a high-touch, personalized experience typically found only in boutique wine shops.

    04

    Results

    Results

    In just the first quarter post-implementation, Cadelbosco achieved impressive outcomes:

    • 32% increase in average time spent on the website & 28% improvement in cart completion rates
    • 45% reduction in basic customer service inquiries
    • Significant growth in international sales beyond Italy
    • 22% increase in average order value
    05

    Key Success Factors

    Several factors contributed to the success of Pearlbot.ai at Cadelbosco:

    • Wine-specific knowledge base, allowing the chatbot to deliver expert-level recommendations
    • Conversational, engaging experience that mirrors an in-person wine tasting session
    • Guided decision-making through tailored questioning based on customer preferences
    • Seamless integration with Cadelbosco's existing e-commerce infrastructure
    Key Success Factors
    06

    Conclusion

    Conclusion

    Cadelbosco's experience highlights how specialized AI chatbots like Pearlbot.ai can transform niche retail sectors where deep product knowledge and personalization are critical drivers of customer satisfaction and conversion.

    Through AI, Cadelbosco successfully brought the elegance and expertise of a traditional wine tasting into the digital shopping journey.

    07

    Built Using

    Langchain Library
    RAGRetrieval augmented generation (RAG)
    AWS Stack
    EFS
    Lamda
    Cognito
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