Sold by: Capgemini America, Inc.
An agent-based solution leveraging AWS Strands SDK and Amazon Bedrock’s Anthropic Claude model to monitor, validate, and optimize supplier deliveries in real time. Built on SAP BTP, it integrates with SAP GenAI Hub, supports multi-agent collaboration (A2A Protocol), and connects to MCP servers (e.g., weather data) for proactive risk mitigation. Ideal for enterprises managing complex supply chains with specialized materials.
Overview
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
- 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
- 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.
Details
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Support
Vendor support
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.