Customer Service & Hospitality Case Studies: Elevate Experiences with AI

Our virtual concierge, customer service, and hospitality projects demonstrate how AI transforms guest interactions and customer engagement. Explore our real-world case studies, like our Smart Hospitality Concierge system deployed across global hotel chains that utilizes an LLM-based dialog system and curated knowledge base to dynamically address guest inquiries, or our Virtual College Advisor that redefines student engagement through sophisticated conversational AI. Each project exemplifies our commitment to blending technical excellence with practical, industry-specific solutions that drive operational efficiency and elevate customer experience.

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Smart Hospitality Concierge

Xyonix recently developed a cutting-edge virtual concierge system for deployment across thousands of hotels worldwide. This AI-driven system features a sophisticated knowledgebase for hotel-specific inquiries and an LLM-based dialog system for dynamic guest interaction. The system also includes advanced features to avoid bot hallucinations and maintain creative control over responses, offering broad guidance in general queries while relying on a curated knowledgebase for specific information. Additionally, it intelligently classifies guest questions, seamlessly directing complex issues to human staff. [Read more]

Virtual College Advisor

We worked closely with a company that helps colleges and universities better advise their student populations in a variety of areas including career choices, adjusting to college life, finding motivation and more. We built a virtual concierge like application that transcends traditional question/answering engaging in highly sophisticated and helpful conversation. We worked closely with the company CEO and product teams to think through a variety of advanced applications, build demonstrable prototypes, and facilitate easy deployment into production. [Read more]

Virtual Patient Intake Specialist for Online Health Services, A Case Study

Virtual Intake Specialist

We helped a company build a powerful virtual intake specialist that automatically communicates with patients to route them to the best care for their condition. Our AI system listens to patients and asks them just the right follow up questions, much like a traditional intake nurse might, to help schedule the best care option. [Read more]

AI Med Spa Assistant

Xyonix teamed up with an early-stage startup to launch an AI iPhone app based assistant to help Med Spa nurse practitioners. The AI technology adeptly categorized facial features, aiding in the assessment of treatments and spotting issues like temporal visual changes, ineffective product batches or injector performance. Integrated with iOS for precise patient driven photo alignment, the system enabled consistent treatment tracking. We played a pivotal role in technology development and strategic product planning; our involvement was key in fusing medical accuracy with technological innovation in product development. [Read more]

Manufacturing Engagement Optimizer

We worked closely with a large industrial parts marketplace provider to help them better understand their current customers and partners. We developed AI models trained on their customer and partner site usage, profile and external attribute data to analyze engagement. We were able to successfully forecast which customers and partners were destined for high and low engagement. Perhaps more importantly, our models were able to explain why customers were likely to be high or low engagers. These deep, data driven insights, when used to power a living intelligence dashboard, are able to direct sales and marketing activities so they are more efficient and impactful.

Customer Behavior Analyzer

We worked very closely with executives of a major dental insurance company to help better understand their customers. We used historic data to predict future customer behavior and purchase selections. Our models predict which customers are likely to lapse, and which are likely to remain loyal. Our models are also explainable, so it is easier to understand which attributes of a customer are indicative of loyalty or lapse tendencies. In addition to understanding high level customer characterizations, our explainable models describe why a specific customer is predicted to be a lapser or loyalist. [Read more]

Depression Text Analyzer

We built a system that helps artists like Metallica and Beyonce interpret the results of millions of fan text messages. During our analysis, we found that many fans were expressing depression related thoughts. We honed our AI models to more accurately differentiate between those discussing sad things and those more at risk of self harm. The results help get these fans professional help.