| Service Line: | Data Engineering |
|---|---|
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Industry: |
Technology (Fortune 500 Client) |
Business Case
The Client’s Contract Renewals Team, consisting of over 100 managers, struggled with errors, and inconsistent contract renewal data across their renewals pipeline. Legacy workflows caused missed renewals and delays leading to revenue leakage and CSAT issues. This underscored the urgent need for data-driven renewals, structured contract revenue leakage reduction, and a scalable renewals data analytics strategy.
The Challenges
Manual Quote Creation:
Manual quote creation led to high error rates, creating a critical need to reduce quote errors and deploy automated quote error detection across the workflow.
Time-consuming Tracking:
Time-consuming tracking of renewal opportunities exposed gaps in renewal opportunity tracking and pipeline visibility, with missed renewals.
Inconsistent Customer Experience:
Inconsistent customer experience and revenue leakage required a shift to renewal pipeline automation and automated workflows to prevent revenue leakage from manual processes.
BayOne’s AI Modernization Strategy
Built a data-driven framework for contract renewals that automated error detection, improved quote accuracy, and enabled intelligent tracking, delivering a comprehensive analytics service for renewal pipeline management:
Measurable Business Impact & ROI
Revenue Protection
Fewer errors meant faster and more accurate renewals, directly enabling contract revenue leakage reduction
Team Efficiency
Time savings repurposed toward value-added work, driving measurable team productivity.
Improved Accuracy
Better contract renewal analytics and renewal forecasting data led to better decisions, improving renewal rate optimization.
Customer Confidence
Consistent renewal experience for enterprise customers restored trust and delivered measurable CSAT improvement.