Improvado MCP extracts data from Expedia and makes it queryable by AI agents. Ask about booking trends, travel patterns, and partner performance without touching a single report.
Improvado MCP connects Expedia data to AI, so teams can query booking volumes, destination trends, and campaign attribution in plain English — no manual exports, no waiting.
"What were the top 10 destinations booked this month?"
2 hrs → 1 min"Show booking conversion rate by traffic source"
Manual → auto"Which campaigns drove the most hotel bookings?"
45 min → 30 secPush bid adjustments, update partner listings, and trigger campaign changes directly from your AI agent — acting on insights the moment they surface.
"Increase bids for top-converting destination campaigns"
1 hr → 3 min"Pause underperforming listings by ROI threshold"
Manual → auto"Flag listings with outdated pricing data"
3 hrs → 5 minMonitor booking pace, demand spikes, and campaign efficiency continuously — your AI agent alerts teams to changes before they impact revenue.
"Alert if weekly bookings drop more than 15%"
Weekly manual → instant"Track cancellation rate changes by property type"
Manual → auto"Monitor ROAS for all active travel campaigns"
Daily check → autoYour AI agent doesn't just surface data — it acts. Adjust pricing, update product descriptions, manage inventory, apply discounts — all through natural language. The MCP server translates intent into API operations.
Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.
One conversation. All six phases. Every platform.
Teams spend hours pulling booking and campaign data from Expedia to build weekly performance reports.
Improvado MCP extracts Expedia data continuously, making it instantly queryable by AI — reports become conversations.
Acting on performance signals requires pulling data, analyzing it, and manually adjusting campaigns — a process that takes days.
AI agents surface insights and execute changes in the same workflow, collapsing the analysis-to-action gap.
Demand spikes and booking drops often go unnoticed until the end of the reporting cycle, when it's too late to respond.
Continuous AI monitoring surfaces demand shifts in real time, giving teams a window to act before revenue is lost.
Same MCP connection, different workflows for every team member. Each role asks in natural language — the MCP server handles the complexity (rate limits, auth, schema normalization, governance) behind the scenes.
Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.
