Marketplace For Buyers For Vendors For Partners

Context Driven Supplier Score Agent

Context-Driven Supplier Score Agent is an AWS-native, AI-powered solution that enables manufacturing and procurement organizations to evaluate supplier sustainability, ESG compliance, and environmental risk in real time. Built on a multi-agent architecture using Amazon EKS and Amazon Bedrock, it unifies data from ERP and supply chain systems, supplier documents, certifications, and external ESG sources to deliver context-aware scoring, Scope 3 emissions insights, compliance validation, and supplier benchmarking. The solution helps enterprises improve sustainability reporting accuracy, reduce supplier risk, meet evolving regulations, and make informed sourcing decisions through automated, scalable, and explainable sustainability intelligence.

Purchase this listing from Webvar in AWS Marketplace using your AWS account. In AWS Marketplace, you can quickly launch pre-configured software with just a few clicks. AWS handles billing and payments, and charges on your AWS bill.

About

Supplier Sustainability & ESG Compliance Challenge

Manufacturing and procurement organizations face increasing pressure to ensure sustainability, ESG compliance, and responsible sourcing across complex, multi-tier supplier ecosystems. Supplier data is fragmented across ERP systems, documents, certifications, and third-party ESG platforms, making manual evaluations slow, inconsistent, and difficult to scale—especially for Scope 3 emissions and regulatory requirements such as CSRD, CBAM, and the GHG Protocol. This lack of unified visibility increases compliance risk, slows sourcing decisions, and exposes enterprises to financial and reputational impact.

Our Solution: Context-Driven Supplier Score Agent

The Context-Driven Supplier Score Agent is an AWS-native, AI-powered sustainability intelligence solution that automates supplier ESG scoring, carbon footprint assessment, and compliance validation using a multi-agent architecture on Amazon EKS and Amazon Bedrock. It unifies data from enterprise systems, supplier documents, certifications, and external ESG feeds to deliver context-aware, explainable insights tailored by industry, geography, and material risk. By enabling real-time monitoring, benchmarking, and alerts, the solution helps enterprises reduce ESG risk, improve regulatory readiness, and make informed, sustainable procurement decisions at scale.

Key Benefits & Business Outcomes

Automated, context-aware ESG and sustainability scoring across global supplier networks

Accurate Scope 3 emissions calculation and carbon impact visibility

Continuous supplier compliance monitoring aligned with global regulations

Real-time supplier risk intelligence using external news and violation data

Faster, data-driven sustainable sourcing and procurement decisions

Reduced manual effort and improved auditability of sustainability reporting

Enterprise-grade scalability, security, and governance using AWS-native services

Ideal Users / Organizations

Manufacturing enterprises, automotive OEMs, electronics and semiconductor companies, aerospace and defense organizations, chemical and materials manufacturers, consumer goods brands, industrial equipment providers, and logistics companies seeking to modernize supplier sustainability management

Related Products

Sedai for ECS: Autonomous Optimization & Remediation

Sedai for ECS is an autonomous cloud management platform powered by AI/ML delivering continuous optimization for cloud operations teams to reduce costs by 40%, improve performance by 35%, reduce FCIs by 50% and improve ops productivity 6x

AI based Intelligent Document Processing

Our product is an advanced artificial intelligence solution designed to streamline document processing workflows for businesses of all sizes. Leveraging cutting-edge machine learning algorithms, it automates the extraction, analysis, and interpretation of valuable information from a variety of documents, including invoices, contracts, forms, and more. With this powerful tool, businesses can significantly reduce manual effort, minimize errors, and accelerate decision-making processes.

Automated SAS to Pyspark Conversion

SAS workloads come with high costs, scalability challenges, and limited flexibility. Hexaware’s Amaze® accelerates SAS-to-PySpark migration using Gen AI and LLM-powered automation, ensuring a 70-80% conversion accuracy, 3x-5x faster execution, and up to 40% cost savings.

Vectra Cognito for Service Delivery Partners (Billed Monthly)

Vectra Threat Detection and Response for Partner Provided Consulting Engagements

Real-time & Historical Datafeeds | Global Post-War Contemporary Auctions

This dataset is prepared for statistical factor pricing models and standardized across variables including country, region, currency, vendor, artist for seamless data filtering. It contains 20+ years of all items in the Post-War & Contemporary art category sold on auction by Christie’s, Sotheby’s, Bonhams and Phillips from 2000 to date.

Philter

Philter deidentifies and redacts sensitive information, such as Personally Identifiable Information (PII) and Protected Health Information (PHI), in text.

Heiliger Software Engineering ProServ

Enterprise grade software engineering professional services focused on application modernization, DevOps, automation, QA and scalable digital solutions. Heiliger delivers structured execution models that accelerate innovation and operational efficiency across complex environments including AWS infrastructure.

Tuberculosis - Total number of cases in the US | CDC

Centers for Disease Control and Prevention provides free and open access to various health related data. This release contains total number of Tuberculosis cases reported in the United States, by region and by states, in accordance with the current method of displaying WONDER data. Data on United States will exclude counts from US territories. The data is available for past 2 years.