HOSPITALITY MANAGEMENT

Reinventing in-room dining with AI voice agents

Marriott International partnered with Intersect AI to modernize in-room dining and guest requests using an AI voice agent. The solution reduced staffing needs, improved accuracy, increased upsell revenue, and delivered faster, more consistent guest experiences while integrating seamlessly with existing hotel systems.

Tablet screen showing AI voice agent interface for in-room dining and guest requests with live tracking, order accuracy, and guest satisfaction metrics.

Background

Marriott International, one of the world’s leading hospitality companies, operates over 8,800 properties worldwide. An AI audit revealed inefficiencies in its in-room dining operations, which relied heavily on manual call handling by hotel staff.

Challenge

Each hotel required an average of 5 full-time staff to manage phone orders, with a 23% error rate caused by miscommunication and inconsistent execution. This strained operations, drove up costs, and reduced guest satisfaction. Missed upsell opportunities also limited revenue growth.

Solution

We designed and deployed an AI-powered voice agent to automate in-room dining and guest service requests. The system integrated with Marriott’s property management and F&B order systems, enabling real-time tracking, automated ticketing, and AI-driven upsell recommendations. A full onboarding program and stakeholder training supported rapid rollout.

Technologies

Conversational AI, natural language processing, property management system integration, automated task routing, AI-driven recommendation engine, live reporting dashboards.

Computer monitor displaying a dashboard with system performance graphs, active alerts, and data validation checks, with a glowing security lock icon overlay.

Impact

The shift from manual execution to an AI-powered operating model delivered immediate, measurable improvements across strategy, productivity, and cost efficiency.

Efficiency

Staffing reduced from 5 to 1 per hotel across 500 properties, generating $72m in annual savings.

Accuracy

Error rate cut from 23% to 7%, boosting accuracy and reliability.

Revenue

Upsell revenue increased by 32% through intelligent prompts.

Experience

Guest NPS improved by 13%, reflecting faster and more consistent service.

Questions & Answers

Strong decisions start with clarity. These Q&As give you a quick understanding of how we work, what to expect, and how we help you succeed with AI.

Why do I need a data foundation before investing in AI?

AI relies entirely on the quality of your data. Without consistent, clean, and connected data, AI models produce unreliable outputs. A data foundation ensures your data is accurate, trustworthy, and structured in a way that supports scalable AI.

How long does it take to build a data foundation?

Timelines vary depending on your current maturity, number of data sources, and governance needs. Most organisations see a functional foundation in 6–12 weeks, with continuous improvement over time.

Do we need a cloud data warehouse to get started?

Not always, but it’s strongly recommended. Cloud platforms simplify integrations, improve scalability, and lower operational costs. We work with your existing tools if needed, but a modern cloud warehouse unlocks far more potential.

What does “data governance” actually include?

Governance covers everything from ownership and access control to data quality rules, cataloging, lineage, and compliance. It ensures your data stays reliable, auditable, and secure — essential for any AI system.

How do you connect all our existing data sources?

We assess each system, map its structure, and build automated pipelines that clean, transform, and centralise your data. This eliminates manual extraction and creates a single, consistent source of truth across the organisation.

Let’s talk about your AI use case

Have a business challenge in mind? We’ll help you assess feasibility, define the right approach, and build a clear path to execution.