Pharma Supply Chain ABM

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DEMOIllustrative model — not for clinical, procurement, or regulatory decisions.
Integration
Amazon Connect Decisions

Simulate the supply chain Amazon Connect Decisions already sees.

Amazon Connect Decisions — the next generation of AWS Supply Chain — unifies your ERP, WMS, and supplier data into a single decisioning layer. Pharma Supply Chain ABM layers agent-based stress testing on top, turning that operational picture into forward-looking resilience intelligence.

Amazon Connect Decisions gives you

• Unified ERP / WMS / EDI ingestion into a decisioning data lake

• SKU × node inventory projections and demand forecasts

• N-tier supplier visibility and lead-time analytics

• Operational insights and recommended actions

Pharma ABM adds

• Agent-level behavior across manufacturers, distributors, hospitals

• Cascading shortage dynamics under correlated shocks

• Stress tests: geopolitical, cold-chain, API single-source

• Forward-looking resilience KPIs and recommended buffer changes

Reference architecture
ERP / WMS / EDI
Source systems
Amazon Connect Decisions
Unified decisioning layer
Pharma ABM
Agent-based engine
Scenario insights
Pushed back as Decisions insights
Resilience action
Buffer, reroute, alert
Inbound — Decisions → ABM
SignalABM use
Inventory projections (SKU × node)Initial stock state for each agent
Demand forecastCalibration target for demand generator
Supplier lead-time statsLead-time distributions per supplier agent
N-tier supplier graphAgent network topology
Historical disruption eventsBacktesting & validation
Outbound — ABM → Decisions
OutputSurfaced as
Shortage probability per SKURisk insight in Decisions
Cold-chain failure cascade mapNetwork alert overlay
Resilience score per nodeNode-level KPI
Recommended buffer-stock deltasSuggested action / playbook
Scenario stress-test resultsWhat-if dashboard

Integration patterns

Batch (S3 + Parquet)

Nightly export from the Decisions data lake. ABM runs the scenario suite, writes results back to S3, and Decisions ingests them as custom insights the next morning.

Event-driven (EventBridge)

Supplier delay or inventory-threshold events from Decisions trigger an ABM scenario via a server function. Results are posted back as a fresh insight within minutes.

Interactive (API)

An analyst clicks 'Run resilience scenario' inside a Decisions insight. They deep-link into pharmaabm.com pre-seeded with the SKU, network, and shock context.

Example use cases

API single-source shock

Decisions flags 80% of a critical API sourced from one Indian plant. ABM simulates a 12-week export ban and quantifies hospital-level shortage probability.

Cold-chain excursion

A regional DC reports a refrigeration anomaly. ABM runs cascading-spoilage scenarios and surfaces the at-risk SKU list and reroute options.

Manufacturing site closure

A hurricane closes a Gulf Coast plant. ABM stress-tests national service levels under 4, 8, and 12-week outages and recommends pre-positioning.

Implementation roadmap
  1. Phase 1
    Read-only ingest
    Pull inventory, forecast, and supplier graph from Decisions into ABM as calibration data.
  2. Phase 2
    Scheduled scenarios
    Nightly batch runs of the full scenario suite, results stored in S3.
  3. Phase 3
    Event-driven runs
    Decisions events trigger targeted ABM simulations on demand.
  4. Phase 4
    Bi-directional insights
    ABM resilience scores and recommendations published back as native Decisions insights.

Bring resilience intelligence to Decisions

Talk to Simudyne about wiring Pharma Supply Chain ABM into your Amazon Connect Decisions environment.

Talk to Simudyne