Compare Any service

Pricing Model

Engagement-Based, Time & Materials, Outcome-Based

Commercial Flexibility

Time & Materials, Fixed-Price Modules, Outcome-Based Gainshare, Staff Augmentation, Hybrid Blended

Gainshare / Outcome Pricing

Savings Guarantees, Shared Upside on Procurement Savings, Performance-Linked Pricing

Delivery Model

Hybrid, Onsite, Offshore

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

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

Certified Partnerships

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

Proprietary Accelerators

Procurement Spend Analytics Platform, Category Management Playbook, Supplier Consolidation Framework, Procurement Transformation Roadmap Templates, RFx Automation Accelerators

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

Infosys applies machine learning to automate spend classification, detect procurement anomalies (maverick spend, duplicate vendors), and forecast category spend trends. The service includes rules-based and ML-driven outlier detection that improves accuracy and reduces manual taxonomy review cycles.

Real-Time Spend Visibility

As a managed service, Infosys builds custom analytics pipelines that achieve near real-time spend visibility by tapping directly into ERP transaction streams and e-procurement logs. Daily or intra-day dashboard refresh is achievable for transaction-level drill-down, while monthly consolidations align with financial close cycles.

Advanced Analytics & Benchmarking

Infosys combines Infosys internal benchmarking databases (third-party spend data partnerships) with customer-specific historical trends to surface savings opportunities, market-rate comparisons, and peer category performance. Benchmarking insights are layered into spend analysis to identify high-opportunity categories for negotiation or consolidation.

Deployment Speed

Infosys streamlines deployment through pre-built data models, standard taxonomy frameworks, and accelerated onboarding playbooks; initial spend visibility typically achieved within 4–8 weeks, faster than building custom analytics from scratch in-house.

Supplier & Category Insights

Infosys delivers segmented supplier risk profiles (concentration, financial stability, regulatory exposure), market-intelligence overlays (geopolitical, commodity price trends), and category-specific spend levers (consolidation, renegotiation, make-versus-buy). Insights are actionable and tied to procurement strategy discussions.

Data Enrichment Capabilities

Infosys enriches raw transactional spend with third-party data on supplier financials, regulatory compliance status, ESG ratings, and commodity benchmarks. This enrichment enables risk-aware supplier segmentation and category-level market intelligence without requiring clients to manage multiple data sources.

Cross-System Data Integration

Infosys integrates spend data from multiple ERPs, P2P systems, e-procurement platforms, and expense management tools into a unified analytics warehouse. Pre-built connectors exist for SAP, Oracle, Workday, NetSuite, and Coupa; custom connectors are available for specialized or legacy systems.

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

$18B–$20B

Case Studies

1 engagement

Estimated Procurement Clients

35–50

Years in Procurement Services

18+

Active Engagements

15–25

Revenue Band

$21.1

Case Studies

3 engagements

Estimated Procurement Clients

150+

Years in Procurement Services

20+

Active Engagements

50+