Hospitality Business Intelligence That Reads Your Operations, Not Just Your Systems

The Operational Intelligence Gap

Systems data tells you what happened. Hospitality BI platforms excel at aggregating PMS bookings, channel mix, pricing decisions, and revenue performance. These are lagging indicators that confirm what already occurred.

The operational layer lives elsewhere: guest requests in WhatsApp, team coordination in Slack, service issues escalating through email. No BI dashboard reads these signals because they're unstructured and scattered across channels.

Operational signals predict what's coming. A rising escalation rate in week two appears as a declining review score in month three. Dropping upsell acceptance rates show up as flat RevPAR next quarter. By the time these patterns surface in traditional BI dashboards, the opportunity to intervene has passed.

The missing layer is conversation data. What guests actually requested, how quickly issues resolved, why escalations occurred, whether revenue plays succeeded. Conduit captures this layer automatically — every guest interaction and internal coordination action becomes a queryable data point.

How Conduit Structures Operational Data

Every interaction generates structured data. Guest requests, team responses, escalation triggers, and resolution outcomes are automatically categorized. Intent classification, SLA adherence, escalation reasons, and upsell acceptance rates become standardized data points — structured the same way your PMS structures bookings: as queryable, reportable, analyzable data across your entire portfolio.

Portfolio-wide consistency. Multi-property groups get a unified data model across every location. "Early check-in request" means the same thing in London, Dubai, and Singapore. Cross-property comparison queries work immediately: "Which property has the highest complaint rate this month?" or "How does upsell performance compare across the portfolio?"

Real-time operational metrics. Automation rate, average response time, resolution quality, escalation frequency, and SLA compliance update continuously. Revenue directors see operational performance as it happens, not in weekly review meetings. Cash Flow Street achieved 96% automation rate — a KPI surfaced through Conduit's portfolio intelligence.

Spot Trends Before They Impact Revenue

Escalation patterns signal service issues early. Rising escalation rates in week two appear as declining review scores in month three. Portfolio queries like "What's driving escalations at the Miami property this week?" return structured answers. Teams intervene before guest satisfaction metrics decline.

Upsell performance predicts revenue trends. Dropping early check-in acceptance rates or declining room upgrade conversions show up as flat RevPAR next quarter. Revenue managers identify which revenue plays are working and which need adjustment — continuously, not in monthly financial reports.

Intent trends reveal operational gaps. Recurring guest questions about parking, WiFi, or check-in procedures indicate missing information or unclear processes. The Lauderdale Hotel unlocked over $500K in asset value by using operational intelligence to optimize service delivery.

Natural Language Portfolio Queries

"Which property had the highest escalation rate this week?" "Compare automation rates across all properties." "What are the top three escalation reasons at the Miami property?" "Show me upsell acceptance rates by offer type."

Multi-property groups query portfolio performance without dashboard configuration. Answers return in seconds from Slack. Cross-property comparison and drill-down without technical skills. Real-time answers for time-sensitive decisions.

Integration With Existing BI Infrastructure

Conduit adds the conversation data layer — traditional BI platforms handle PMS, RMS, and POS data aggregation. API and MCP server capabilities let technical teams pull operational data into their BI stack alongside PMS and RMS data for unified reporting. Operational metrics combine with financial dashboards for comprehensive portfolio analysis.

Scale and Proof

• 100M+ conversations structured as operational data
• $3B+ reservation value handled
• 1,000+ hospitality brands across 300+ teams
• 140+ languages supported
• Cash Flow Street: 96% automation rate as a monitorable KPI
• Haven: Portfolio-wide visibility across hundreds of units from one Slack interface
• HomeHop: 3x portfolio growth with full operational visibility maintained

Security and Compliance

SOC 2 Type II certified, HIPAA certified, GDPR compliant, ISO 27001 certified. End-to-end encryption, role-based access, audit logs, secure model orchestration. Data residency options for organizations with strict requirements.