Compare Any service

Pricing Model

Custom Engagement, Outcome-Based, Time-and-Materials, Blended Rate Model

Commercial Flexibility

Outcome-Based Pricing, Gainshare Models, Fixed-Fee Engagements, Time-and-Materials, Hybrid Blended Rate Model

Gainshare / Outcome Pricing

Savings-Share Arrangements, Cost Reduction Guarantees, Target-Based Performance Fees

Delivery Model

On-Site, Hybrid, Offshore Centers

Pricing Model

Time & Materials, Gainshare, Outcome-Based

Commercial Flexibility

Outcome-Based Pricing, Fixed-Price Engagements, Hybrid Models

Gainshare / Outcome Pricing

Percent of Savings Achieved, Fixed Outcome Targets

Delivery Model

Onsite, Remote, Hybrid

Typical Integration Time

4-12 weeks, depending on data scope and source system complexity

Middleware Experience

SAP, Oracle, NetSuite, Workday, Coupa, Ivalua, Jaggr, Ariba

Certified Partnerships

SAP, Oracle, Workday, Coupa, ServiceNow

Proprietary Accelerators

true

Typical Integration Time

4–8 weeks (discovery and data onboarding)

Middleware Experience

REST APIs, Webhooks, EDI, SFTP, Cloud connectors

Certified Partnerships

Coupa, SAP Ariba, Jaggr

Proprietary Accelerators

Spend Analytics Framework, Supplier Risk Dashboard, Category Playbooks, Benchmarking Engine

AI-Driven Spend Intelligence

EY integrates AI and machine learning within its proprietary analytics tools to automate spend classification, detect anomalies and maverick spend patterns, and surface savings opportunities without manual intervention.

Real-Time Spend Visibility

EY's continuous optimization services provide ongoing spend monitoring and real-time alerts on category performance, supplier spend concentration, and policy adherence—moving beyond one-time analysis to sustained visibility.

Advanced Analytics & Benchmarking

EY's proprietary benchmark database covers thousands of organizations and categories, enabling clients to compare their spend, pricing, and supplier performance against industry peers and best practices specific to their sector and geography.

Deployment Speed

EY can mobilize analytics teams and initiate spend analysis quickly for time-sensitive situations, such as cost crises or merger integration; phased approaches allow rapid delivery of high-impact insights within weeks while deeper analysis continues.

Supplier & Category Insights

EY combines spend data with proprietary supplier intelligence, market research, and risk data to provide deep insights into supplier consolidation opportunities, category strategies, and supplier performance benchmarking.

Data Enrichment Capabilities

EY enriches raw spend data with supplier attributes (size, location, financial health, ESG ratings), market intelligence, and category benchmarks to enable sophisticated spend clustering, supplier risk profiling, and strategic category insights.

Cross-System Data Integration

EY's service team integrates data from multiple source systems—ERPs, P2P platforms, procurement systems, invoicing platforms, and financial systems—normalizing and reconciling data to create a single source of truth for spend analysis.

AI-Driven Spend Intelligence

Corcentric leverages machine learning for automated spend classification, anomaly detection, and pattern recognition to identify savings opportunities faster, complemented by human procurement experts who validate findings and contextualize recommendations within client business strategy.

Real-Time Spend Visibility

While Corcentric's core strength is comprehensive historical spend analysis and benchmarking, its platform provides quarterly or semi-annual spend snapshots and updated visibility once implementation concludes, rather than continuous real-time monitoring; ongoing advisory retainers can maintain fresher insights.

Advanced Analytics & Benchmarking

Corcentric combines proprietary benchmark databases spanning millions of transactions across industries and geographies with advanced statistical analytics to identify savings potential, supplier consolidation opportunities, and category-level pricing comparisons tailored to client spending patterns.

Deployment Speed

Corcentric typically delivers initial findings and recommendations within 3–4 months through focused engagements, faster than building internal analytics capability from scratch, though full ROI realization and organizational adoption often extend 6–12 months.

Supplier & Category Insights

Corcentric performs deep supplier rationalization analysis, identifying consolidation opportunities and spend concentration risks, and delivers segment-level spend trends, pricing benchmarks, and category strategy recommendations backed by industry research and market intelligence.

Data Enrichment Capabilities

Corcentric enriches client spend data with third-party supplier intelligence, market pricing benchmarks, and industry classification standards to normalize and compare spending across internal categories, enabling cross-company spend comparisons and risk assessments.

Cross-System Data Integration

Corcentric integrates spend data from multiple ERP, P2P, and accounting systems, reconciling and deduplicating transactions across entities and currencies to create a unified spend foundation for analysis and benchmarking.

Revenue Band

$45B–$50B

Case Studies

3 engagements

Estimated Procurement Clients

250+

Years in Procurement Services

25+

Active Engagements

100+

Case Studies

3 engagements

Estimated Procurement Clients

500+

Years in Procurement Services

25+

Active Engagements

Ongoing with large Fortune 500 and mid-market clients across North America and Europe