Visitors were often hesitant to initiate direct contact, resulting in potential lost opportunities. Additionally, manually qualifying leads was resource-intensive, and inconsistent data collection hindered Moonshot’s sales effectiveness.
Key challenges included:
Moonshot deployed Nova, leveraging multiple Large Language Models (LLMs), APIs (OpenAI, Gemini), workflow integration tools like n8n, and specially crafted conversational prompts. Nova was enhanced by a sophisticated knowledge base built through deep research models that organized comprehensive information about Moonshot's services, processes, and capabilities. Historical call transcripts provided proven practices, clear guidelines, and structured conversational flows, significantly enriching Nova's effectiveness.
Nova’s primary features include:
Nova successfully improved initial visitor engagement, reduced manual pre-qualification efforts, and significantly improved the quality and accuracy of leads, enabling the sales team to focus on high-value client interactions.