Our team built a custom AI Chat Agent to help customer service reps for a leading hospitality marketing brand make better choices when offering destination weddings globally. Semantic similarities within the data were a key part of being able to outline specifics about individual hotels within multi national chains, as well as identifying other hotels within a specific area that could fit the specific wedding requirements.
Don Milligan headed the requirements gathering, architectural plan, statement of work (SOW), and other plans necessary to secure Googles DAF funding through a Google Cloud Partner, and then the team relied on example work from Don’s history with custom RAG, Google Vertex, LangChain, and other technologies that helped us build an agent that could identify what service reps were looking for as well as details about specific hotels and chains.
