Compare Any service

Pricing Model

Time & Materials, Fixed Fee, Retainer

Commercial Flexibility

Gainshare Models, Fixed Fee Projects, Retainer-Based, FTE Augmentation, Outcome-Based Pricing

Gainshare / Outcome Pricing

Gainshare, Performance-Based Savings Share

Delivery Model

On-Site, Remote, Hybrid

Pricing Model

Time and Materials, Gainshare / Outcome Pricing, Fixed Fee

Commercial Flexibility

Gainshare on savings, Risk-share arrangements, Flexible staffing (FTE vs. hourly), Flexible contract duration, Phase-based pricing

Gainshare / Outcome Pricing

Savings Share (20–40% of Year 1 savings), Performance-based fees tied to KPIs

Delivery Model

Onshore, Nearshore, Offshore

Typical Integration Time

6–12 weeks

Middleware Experience

ETL platforms, Data warehousing, Cloud data lakes

Certified Partnerships

SAP, Oracle, Coupa

Proprietary Accelerators

true

Typical Integration Time

4-12 weeks

Middleware Experience

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

Certified Partnerships

SAP Ariba, Oracle, Coupa, Workday, Infor CloudSuite, Jaggr, Emptoris, Determine

Proprietary Accelerators

true

AI-Driven Spend Intelligence

KPMG applies machine learning techniques to classify and normalize unstructured spend data, identify anomalies and maverick spend patterns, and forecast category-level savings opportunities based on historical benchmarking and market trends. The approach combines proprietary analytical models developed across thousands of clients with industry-leading benchmarking datasets.

Real-Time Spend Visibility

The engagement designs dashboards with monthly or more frequent refresh cadences, giving procurement teams near-current visibility into maverick spend, supplier concentration risk, and category performance. Integration with client P2P and ERP systems enables rapid data flow from invoice through analytics layer.

Advanced Analytics & Benchmarking

KPMG's service includes detailed benchmarking against industry peers and market comparables for spend categories, pricing trends, and supplier performance metrics. The firm combines public market data, proprietary client benchmarks, and third-party market research to contextualize client spending and identify outliers.

Deployment Speed

While full engagements span 6-12 months, KPMG can deliver rapid-cycle diagnostics and quick-hit savings analysis in 8-12 weeks when scope is focused on top 10-20 spend categories, allowing early value realization and stronger business case for broader transformation.

Supplier & Category Insights

The service includes deep category-level analysis identifying supplier concentration risk, cost drivers, market dynamics, and consolidation opportunities. KPMG's category management teams provide subject-matter expertise in high-value categories such as indirect procurement, maintenance & repair, and transportation.

Data Enrichment Capabilities

The engagement includes data enrichment services such as supplier master cleansing, commodity code mapping, cost-center attribution, and enrichment with third-party supplier financial and risk data. KPMG works with data partners to append supplier credit, ESG, and geopolitical risk signals to enhance analytics.

Cross-System Data Integration

KPMG designs data integration architectures spanning ERP, P2P, invoice, payment, and supplier systems. The approach typically leverages APIs, ETL tools, or custom data pipelines depending on client technology stack. Integration includes reconciliation between systems and handling of edge cases (intercompany spend, accruals, currency).

AI-Driven Spend Intelligence

Cognizant applies machine-learning-powered classification, anomaly detection, and maverick-spend identification across enterprise datasets; algorithms are trained on multi-industry benchmarking data and continuously refined through managed-services engagement cycles.

Real-Time Spend Visibility

Cognizant delivers near-real-time spend visibility through continuous integration of source-system feeds and automated data refresh cycles; dashboards support dynamic drill-down and ad-hoc analysis across multiple dimensions.

Advanced Analytics & Benchmarking

Proprietary benchmarking database (built from decades of client engagements) enables market-based category analysis, supplier cost benchmarking, and peer comparison — differentiating Cognizant from pure-software competitors lacking industry context.

Deployment Speed

While typical engagements span 3–6 months, Cognizant's modular analytics framework and pre-built category templates accelerate core dashboard delivery; rapid scoping and agile delivery methodologies reduce time-to-first-insights.

Supplier & Category Insights

Supplier risk scoring, performance analytics, and market-based category benchmarking are embedded into the service; insights are validated against domain expertise and enriched with external market intelligence.

Data Enrichment Capabilities

Cognizant enriches internal spend data with external supplier risk data, market pricing intelligence, and category benchmarks; data enrichment is integrated as part of the core service rather than add-on licensing.

Cross-System Data Integration

Service includes vendor-agnostic integration across AP, procurement, HRMS, GL, and supply-chain systems; Cognizant manages end-to-end ELT/ETL orchestration and supports both legacy and modern cloud ERP platforms.

Revenue Band

$35B–$40B

Case Studies

3 engagements

Estimated Procurement Clients

500+

Years in Procurement Services

25+

Active Engagements

Ongoing engagements across Fortune 500 companies and mid-market organizations globally

Revenue Band

$21.1

Case Studies

3 engagements

Estimated Procurement Clients

150+

Years in Procurement Services

20+

Active Engagements

50+