The Challenge
Woodbine, a premier destination for horse racing and entertainment, sought to enhance its digital experience by providing users with an AI-driven conversational assistant. The goal was to improve how visitors find information, streamline support, and enable deeper customer insights. Our team developed a custom AI chatbot powered by Retrieval-Augmented Generation (RAG) and OpenAI models, offering real-time, context-aware assistance with integrated ticketing and admin analytics.
Woodbine’s website contains extensive resources, including race schedules, betting guidelines, event details, and FAQs. However, users often struggled to quickly access relevant information, leading to increased support requests. Key challenges included:
Complex Information Discovery: Users needed a faster, more intuitive way to navigate content.
Efficient Support Management: Automate ticket generation while maintaining a human-centric support system.
Business Intelligence & Customer Insights: Woodbine needed better visibility into customer inquiries to refine services and improve engagement.
Unstructured Data: Information was spread across multiple pages, making retrieval difficult.
Context-Aware Conversations: Users expected relevant responses that understood horse racing terminology and evolving queries.
Our Approach
The Outcome
Our AI-powered chatbot is more than just a conversational assistant—it’s a full-scale customer engagement and support solution. By integrating RAG, OpenAI fine-tuning, automated ticketing, and admin analytics, we delivered a smarter, more efficient way for Woodbine to interact with its audience. This scalable, data-driven solution enhances user satisfaction, reduces support bottlenecks, and drives business intelligence for continuous improvement.