Supplier Analytics

 Sourcing teams entered supplier negotiations armed with the supplier's own data — a structural disadvantage. Leakage was unmeasured, unused tickets went unreclaimed, hotel attachment rates were estimated not tracked, and TMC data quality issues went undocumented and unresolved. The program lacked the analytical infrastructure to hold suppliers objectively accountable. 

Built and operationalized a full supplier analytics layer: 

• contract utilization and negotiated rate adherence
• preferred supplier compliance and leakage detection (integrating corp card data to surface direct-booking gaps)
• unused ticket monitoring and reclaim reporting
• hotel attachment and rate trend forecasting models
• dedicated TMC SLA trackers exposing data quality failures with objective evidence.
• quarterly leadership analytics supporting RFP cycles and contract renewals.

Led requirements definition with a TMC partner for a new data model definition and integration — providing structured behavioral insight into traveler preferences as a foundation for personalization and program optimization. 

• Direct booking leakage surfaced at scale for the first time via corp card integration
• TMC data quality gaps documented with objective SLA evidence — driving supplier remediation
• Supplier utilization forecasting models directly supporting RFP decision-making
• Unused ticket reclaim opportunities quantified for sourcing leadership
• Behavioral data integration unlocking personalized program design

 Supplier negotiations are only as strong as the data behind them. When you can show a hotel chain its own attachment rate trends, or present a TMC with a documented log of data quality failures, the conversation moves from subjective to factual. The best sourcing outcomes we've seen consistently trace back to one thing: the program knowing more about the supplier's performance than the supplier expected.