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Capgemini Intelligent Supply Service Monitor - Agent-Driven Supply Chain

Capgemini America, Inc. · Logistics & Supply Chain

No attestation published

Certification per AWS Marketplace.

Provenance reach3 of 12 layers traced

Evidence tier Source Confirmed · 4 captures on record

User ratingNot rated0 reviews on the listing
Runs onUnknownProfessional service
ProvenanceUnknown33% of the provenance layers this product can disclose
Evidence riskHighSign in to see the basis for this band.

What the publisher says

As described on AWS Marketplace.

Capgemini’s **Intelligent Supply Service Monitor with GenAI** is a **SAP BTP-native agent** designed to transform supply chain visibility and resilience. Built using **AWS Strands SDK** on **SAP Cloud Foundry**, this solution employs **Amazon Bedrock’s Anthropic Claude model** (via SAP GenAI Hub) to automate data validation, detect anomalies, and generate actionable insights.

**Key Capabilities**

Show the rest of the publisher’s description (19 more lines)
  • **Agent Architecture**: Developed with **AWS Strands SDK** for scalable, event-driven processing.
  • **Amazon Bedrock Integration**: Utilizes **Anthropic Claude** for generative AI-driven insights (e.g., root-cause analysis, natural language reports).
  • **Multi-Agent Collaboration**: Supports **A2A Protocol** to integrate with other AWS agents (e.g., logistics, inventory agents) for end-to-end visibility.
  • **MCP Server Connectivity**: Connects to external data sources (e.g., weather APIs, geopolitical risk feeds) to enrich disruption analysis.
  • **SAP BTP Native**: Deployable on **SAP Business Technology Platform** with seamless integration into SAP TM, ECC, and S/4HANA.

**Use Case: Tire Retailer**

A leading U.S. tire retailer faced challenges with supplier deliveries for specialized tires:

  • **Delivery Timelines**: Schedules often fell on holidays or outside operating hours, causing inventory shortages.
  • **Data Quality**: Excel-based delivery files from suppliers contained missing/incomplete data (e.g., delivery dates, times).
  • **Proximity Issues**: Stores in proximity experienced inconsistent delivery times, leading to stockouts.

**Solution Impact**

  • **Automated Validation**: Detects missing fields, invalid values, and holiday conflicts in real time.
  • **Proximity Analysis**: Identifies skipped stores near serviced locations to optimize routes.
  • **Proactive Narratives**: Generates natural language reports (e.g., “Holiday-related delivery skips detected”) for planners and suppliers.
  • **Cost Savings**: Reduced manual intervention and improved on-time delivery rates by ~15%.

**Technical Stack**

  • **AWS Services**: Amazon Bedrock (Claude), AWS Strands SDK, Amazon S3, CloudFront.
  • **SAP Services**: SAP BTP, SAP GenAI Hub, SAP AI Core, SAP Fiori.
  • **Data Sources**: Supplier Excel files, SAP ECC/HANA, weather/MCP APIs.

Highlights

Highlighted by the publisher on AWS Marketplace.

Agent-Driven Architecture: Built with AWS Strands SDK for scalable, real-time processing.

Claude-Powered Insights: Leverages Anthropic Claude via Amazon Bedrock for generative AI capabilities.

SAP BTP Native: Seamless deployment on SAP Business Technology Platform.

Agent build and provenance

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Sources

Marketplace listingaws.amazon.com ↗Source
App certificationaws.amazon.com ↗Source

Linked repositories

RepositoriesUnknownUnknown

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Pricing
Unknown
Not stated
Delivery
Professional service
Provider: Capgemini Support Model: 24/7 enterprise support via Capgemini’s dedicated cloud operations team. Contact: Email: support@capgemini.com Phone: +31 20 5555 123 (NL) / Global toll-free numbers available. Support Hours: Business hours (default) or 24/7 upon request. Service Level Agreement (SLA): 99.9% uptime guaranteed. Response Time: 4-hour critical issue resolution.
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