Unlock your source-to-pay potential: Time to embrace a data-driven approach
Procurement teams often miss opportunities to optimize operations and spend because of fragmented data and subpar analytical capabilities. Genpact's source-to-pay (S2P) analytics solutions leverage AI and domain expertise to enhance procurement outcomes. By offering deep insights and improved visibility, these solutions help companies optimize spend, reduce costs, and foster better supplier relationships.
AI-driven spend analytics that unlock savings, mitigate risk, and boost procurement efficiency.
Companies using our solution saw
6-12%
annual cost savings through strategic sourcing and spend categorization.
Optimize P2P processes with metrics monitoring and value stream analysis to spot bottlenecks and areas for improvement.
Analyze contract terms and expiry dates to measure health, spot leakages, and drive performance, compliance, and value.
Analyze market dynamics and pricing trends to stay competitive, optimize strategies, and improve supplier performance.
We use advanced screening technology and analytics to boost governance, compliance, and transparency.
For a consumer goods company, we reviewed
~50,000
alerts on suppliers and associates and identified 135 high-risk suppliers
Next-gen S2P analytics with the right mix of tech and procurement expertise
We leverage our source-to-pay and advanced technology expertise to bring sharper insights and market intelligence to procurement processes, elevating the function to a new level. Here's what we deliver:
Spend analytics
Working capital optimization
Gen AI-enabled sourcing
Supplier performance management
Third-party risk management
Market intelligence and benchmarking
Contract analysis
Enhancing spend analytics for a global aerospace leader
A global aerospace company needed better spend visibility but struggled with fragmented procurement data across ERPs, limited supplier insights, and no data classification system. We validated its spend data and implemented an automated categorization engine, enabling spend visibility, data cleansing, and vendor standardization. This delivered up to 95% accuracy, potential 10% cost savings, 20% reduction in maverick spend, and 15% efficiency gains, optimizing procurement and working capital.
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