This playbook explores how TMCs can close the gap between the travel data they already collect and the outcomes they’re able to deliver for clients. It covers the structural reasons data goes underused, and sets out three practical plays – reshopping, sourcing, and agentic AI – to turn existing data into measurable program performance.
What’s inside:
- Why TMC data environments are data-rich but often insight-poor – and what that costs in client retention and margins
- How reshopping data can function as a behavioral intelligence layer, not just a per-booking savings figure
- Where sourcing programs typically break down between the contract and the booking – and how to catch it in real time
- How agentic AI uses traveler profile data to lift hotel attachment, reduce leakage, and free agents for higher-value work
- Five diagnostic questions to ask before your next QBR