AWS for Logistics & Supply Chain

What’s New (June 30, 2026) — AWS Interconnect – last mile is in gated preview with AT&T for US customers: private, SLA-backed connections from DCs and branches into a Direct Connect Gateway, with partner provisioning via an activation key. Use it for logistics sites, not plant-floor OT. Announcement.

AI opportunity — inventory and ops, not a new SKU

When the pain is “what should we reorder” or “what needs a human this morning,” that is already inventory and operations. Same families, same approval rules. We did not add /ai-agents/logistics/.

If the dashboard is green on a stale WMS extract, that is a data-freshness problem — EventBridge on failed Glue jobs, not a model. Join keys first; see knowledge. Fleet tracking and AWS Supply Chain vs a custom lake stay on this page as AWS architecture.

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

Figure: ERP/WMS extracts into SCDL or a custom lake, extract-failure alarms, optional Location Services. Open draw.io

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. For DC and branch backhaul, evaluate AWS Interconnect – last mile (AT&T gated preview as of 30 June 2026) before standing up another DIY Direct Connect order.

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.