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FMCG Industry Solution

Autonomous Supply Chain Orchestration

Unpredictable demand across regions leads to overproduction, stockouts, and inefficient routing. Focus20 orchestrates your supply chain dynamically using a multi-agent AI system that unifies Retail POS data, distributor inventory levels, weather APIs, and social sentiment strings in real-time.

Business Value

Intelligent Demand Forecasting

By replacing rigid, rule-based ERP planning with an autonomous agentic engine, FMCG enterprises can preemptively reroute shipments and adjust POs before a disruption hits the balance sheet.

30%
Improved Forecasting Accuracy
72%
Reduction in Anomaly Reaction Time

The Agentic Workflow

1. Agentic Stack

Coordinator Agent: LangChain Router.
Data Agent: AWS Athena SQL-tool.
Action Agent: API mutator (SAP Ariba payload generator).

2. Reasoning Loop (ReAct)

> Agent detects weather disruption in transit lane
> Queries DB for affected SKUs
> Identifies alternative local supplier
> Drafts automated PO adjustment
> Requests final human approval

Enterprise Technical Architecture

Built securely on AWS, integrating seamlessly with your existing Microsoft Dynamics or SAP ERP.

Data Flow & Integration

  • Ingestion: AWS Kinesis Data Streams capture real-time POS, social sentiment, and IoT weather telemetry.
  • Storage & ETL: AWS Glue transforms raw streams into an Amazon S3 Data Lake for immutable historical truth.
  • AI Orchestration: Amazon Bedrock Agents autonomously parse the data lake alongside predictive SageMaker models.
  • Action Execution: Bi-directional sync via Amazon API Gateway injects commands directly back into SAP/Dynamics.

Cloud Migration Highlight

Migrated a global FMCG leader's legacy Microsoft Dynamics ERP environments hosted on Azure VMs to AWS ECS + Amazon RDS, resulting in a 25% infrastructure cost reduction and vastly improved failover times.

graph TD A[POS Data] -->|Kinesis| B(AWS Glue) C[Weather/Social] -->|API Gateway| B B --> D[(Amazon S3 Data Lake)] D --- E[SageMaker Models] E --> F{"Agentic AI
Bedrock"} F -->|Decisions| G[ERP/Dynamics] F -->|Alerts| H[Supply Chain App]

Deployment Timeline

A rigorous, phased approach to ensure zero business disruption during the AI rollout.

Phase 1: Days 1 - 14

Proof of Value

We map your data architecture, deploy read-only API connectors to your CRM/ERP, and stand up an isolated Bedrock agent to simulate supply chain decisions in a sandbox environment to prove the ROI.

Phase 2: Weeks 3 - 6

MVP Integration

The agent is integrated securely into standard cloud operations (AWS EKS). It begins actively "drafting" Purchase Order adjustments and alerting human operators via Teams/Slack for a "Human-in-the-Loop" approval process.

Phase 3: Weeks 7 - 12

At-Scale Autonomous Rollout

Human guardrails are selectively removed. The agentic system achieves full bi-directional autonomy—balancing load, negotiating with dynamic suppliers, and optimizing the ERP without needing constant oversight.