Meridian Control Tower
Global Supply-Chain Network Ops
Example · demo data, not live
14:32:06UTC
← Operations
OTIF▲ 0.8 WoW
96.4%
target ≥95% · world-class 98%
Perfect Order▲ 0.4
94.1%
complete · on-time · damage-free
On-time Del.▲ 0.3
97.2%
vs committed ETA
Inv. Turns▲ 7.6→8.3
8.3x
annualized · trailing 13wk
Orders in Flight▬ steady
14,820
312 active lanes
Revenue at Risk▼ 4 critical
$2.1M
across 4 critical lanes

Live Lane Map · Global Network

312 lanes · 6 DCs · 40 ports · 50 Tier-1
312
Active Lanes
2.3d
Avg Dwell
4
Critical Nodes
Air · 21%
Ocean · 58%
Rail · 6%
Road · 15%
as-of 14:32:06 Live

OTIF · 13-Week Trend

climbing target band
OTIF actual target band world-class 98%

Exception Waterfall

Clustered
9
7
4
3
Port congestion9
Supplier late7
Weather4
Customs3
Total open23

Mode & Dwell

in-flight mix
Ocean58%
Air21%
Road15%
Rail6%
2.3d
network dwell · target <2.5d
worst: Long Beach 4.1d

Inbound Flow · Supplier → DC → Region

50 → 6 → 4

Supplier On-Time Score

▲ 3 QoQ
92/100
Top-50 composite
Foxlink Industries99 ▲
Hanwha Components78 ▼ watch

Predicted Disruptions

AI prescriptive
🌀
Typhoon Nanmadol · Kobe
3 ocean shipments to Kobe likely +5 days. Model confidence 81%. Reroute 2 via Busan, air-expedite 1 critical SKU.
+1.2
OTIF pts
+$18K
added cost
−1.6d
recovered
⚠
ETA confidence <70% · 3 lanes
Model rates committed ETA unlikely to hold on Shanghai→Memphis (62%), Felixstowe→Chicago (58%), Kobe→LA (49%). Driver: port dwell & weather.
23 open ▼ from 41 · −18 WoW
Auto-ranked
#1 Long Beach Port Congestion
⚓Port congestion · vessel backlog
$640Kat risk
38orders
2tier-1 cust.
⏱ 19h to breach
#2 Supplier Hanwha · PO Late 6d
📦Supplier late · PO-44812
$410Kat risk
21orders
6dlate
⏱ 31h to breach
#3 Customs Hold · Felixstowe
🛃Customs · documentation
$220Kat risk
14orders
2.5dheld
⏱ 44h to breach
#4 Weather Delay · Rotterdam → Hamburg Rail
🌧Weather · rail closure
$165Kat risk
9orders
+1.5ddelay
#5 Chassis Shortage · Savannah
⚓Port congestion · drayage
$98Kat risk
6orders
1.8ddwell+
#6 Supplier Veltrix · Quality Hold
📦Supplier late · QA reinspect
$74Kat risk
5orders
2dheld

View Scope & Provenance

refresh 28s
Viewing Global Region North America Tier Tier-1 suppliers Source 14 carriers Feeds 6 telematics

Field Guide

How a VP Supply Chain runs the Monday war-room off this screen

◢ How to use this view

1Read the OTIF hero first. 96.4% sitting inside the green 95–98% target band is the single number that protects revenue and your customer SLAs — if it falls below the band, every downstream decision is triage.
2Work the feed top-down. The exception feed is AI-ranked by revenue-at-risk × time-to-breach, not by arrival order — the top 4 red/amber cards are where your war-room minutes earn the most. Clear #1 before #5.
3Read the arc-map by glow and pulse. Arc color = mode (cyan air, teal ocean, amber rail, slate road); a red pulsing node means dwell is blowing out (Long Beach 4.1d). Click any arc to open the lane's milestone timeline.
4Let the AI pre-stage the recovery. Predicted Disruptions names the threat, quantifies the OTIF/cost trade, and drafts the supplier escalation email — you approve, you don't author. Use Simulate to compare expedite vs reroute before committing spend.
5Watch the waterfall for pattern, not noise. If "Port congestion 9" keeps dominating week over week, the fix is structural (carrier mix, DC routing) — not another one-off reroute.
6For your own org: what is your equivalent of OTIF — the one service number whose breach you'd reorganize a Monday around? If you can't name it, the control tower can't rank for it.

▶ Watch the walkthrough

Four AI agents walk this dashboard.

◢ In context · network signal● Sample feed

PortLA/Long Beach import dwell, 7-day avg
4.1d ▲ 0.6
RateShanghai→LA spot, 40ft (SCFI proxy)
$1,840 ▼ 3.2%
WeatherW. Pacific typhoon watch · Kobe corridor
Active ▲
AirTPEB air freight index, per kg
$4.62 ▬ flat
MacroGlobal PMI new-export-orders
51.3 ▲ 0.8
PortRotterdam berth-wait, rolling 72h
1.2d ▼ 0.4
Illustrative — wire to your carrier EDI + market-rate feeds (SCFI, Drewry, NOAA storm tracks). Values are demo data.