AWS for Logistics & Supply Chain

Why Logistics Teams Choose AWS

Supply chain visibility programs stall when dashboards look healthy on stale extracts, or when “real-time tracking” is bolted onto fleets that already get adequate ETAs from the TMS. AWS provides AWS Supply Chain, IoT Core, Location Services, EventBridge, Glue, and QuickSight — the architecture decision is which layer earns its operational tax.

FactualMinds is an AWS Select Tier Services Partner that treats logistics as a data-integration problem first: ERP/WMS/TMS freshness SLAs, then intelligence (risk maps, ETA), then optional device telemetry.

For the full reference architecture — planning tiers, fleet tracking decisioning, and KPI baselines — see Logistics and Supply Chain on AWS (2026).

Intelligence Layer, Not WMS Replacement

ERP / WMS / TMS / OMS
        ↓ (connectors + Glue / EventBridge)
Supply Chain Data Lake (SCDL) or S3 lakehouse
        ↓
AWS Supply Chain insights  OR  Athena + QuickSight
        ↓
OTIF, inventory risk, lead-time prediction, N-Tier visibility

AWS Supply Chain does not replace Manhattan, Blue Yonder, or SAP EWM. Execution stays in the WMS; AWS owns the cross-system risk picture.

On a mid-market 3PL silhouette (~2.1M shipments/year, OTIF 82%), layering AWS Supply Chain on ERP ingest plus Location Services fleet tracking moved ETA accuracy from 71% to 87% in 90 days — without replacing the WMS.

AWS Supply Chain vs Custom Lake

Fleet Tracking Decision

Skip IoT + Location Services when:

• Fewer than ~50 daily routes
• TMS already pushes reliable ETA webhooks
• Nobody owns device certificate lifecycle day-to-day

Add Location Services when last-mile ETA variance is a board KPI and geofence events drive customer notifications. Pair with managed services if you need 24/7 extract and device health coverage.

Extract Freshness Is the Real Reliability Problem

Silent ERP extract failures produce green dashboards and falling OTIF. Minimum controls:

• EventBridge (or equivalent) on failed Glue/connector jobs
• Row-count anomaly alarms vs yesterday’s baseline
• Freshness SLA (e.g., alert if WMS snapshot older than 2 hours)

This is the same class of reliability work we do in architecture reviews — observability before prettier maps.

Logistics vs Manufacturing IoT

Plant-floor OEE and PLC/OPC-UA patterns live on the manufacturing industry hub and the manufacturing IoT reference architecture (2026). Logistics KPIs are shipment movement, partner networks, and last-mile ETA — different sources, different ownership.

Where to Start

1. Inventory ERP/WMS/TMS sources and current extract freshness
2. Choose AWS Supply Chain vs custom lake from SKU/partner complexity
3. Add fleet tracking only if TMS ETAs are demonstrably insufficient
4. Wire failure alarms before launching OTIF dashboards to executives

Whether you run a 3PL or an in-house distribution network, we help you improve visibility without a rip-and-replace program.