Procurement Spend Analytics
Exponentia.ai · Logistics & Supply Chain
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
Exponentia’s Procurement Spend Analytics (PSA) empowers enterprises to unlock and analyse procurement and SAP data alongside other structured and unstructured sources delivering intelligent automation, real-time insights, and measurable savings. Built on a serverless AWS-native architecture leveraging services like Amazon S3, Glue, Bedrock, Athena, and QuickSight, PSA enables unified visibility across spend categories, suppliers, and contracts without requiring complex infrastructure setup or manual data wrangling.
The solution features automated spend categorisation, natural language querying, and AI-driven supplier and contract intelligence, enabling procurement teams to move from reactive reporting to proactive decision-making. Pre-configured data models, out-of-the-box dashboards, and seamless SAP integration drastically reduce implementation time and provide immediate access to actionable insights.
Show the rest of the publisher’s description (1 more line)
With PSA, organisations can reduce procurement costs by 15–25%, strengthen compliance, and enhance supplier performance monitoring through intuitive dashboards and predictive analytics. Its plug-and-play AI accelerator design ensures faster time to value, making it ideal for enterprises seeking scalable, secure, and compliant data driven procurement transformation powered by AWS AI and analytics services.
Highlights
Highlighted by the publisher on AWS Marketplace.
AI-powered procurement intelligence which Unlocks and analyses SAP and enterprise spend data through AWS-native services like S3, Glue, Bedrock, and QuickSight for real-time insights and automation.
Plug-and-play accelerator embedded with Pre-configured data models, dashboards, and integrations with SAP drastically reduce implementation time and accelerate ROI.
Data-driven decision-making us Achieve 15–25% cost reduction through automated spend categorisation, supplier performance monitoring, and contract intelligence powered by machine learning.
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