OPERATE / CMD

Command Center

A single situational picture across every node, lane, and asset moving freight through your network.

AI Models Used on this page

Every insight on this page is traceable to a model and an agent. No black-box AI.

Model catalog
ModelPurposeConfLast refreshStatusExplain
Material Flow Prediction

v3.4.1 · Flow Intelligence

Predict next-12h material flow across the network.0.922026-05-21production Why
Port Congestion Prediction

v4.2.1 · Congestion

Predict berth + anchorage congestion 24-72h ahead.0.912026-05-26production Why
Network Congestion Risk

v2.0.0 · Congestion

Network-wide congestion risk composite.0.902026-05-24production Why
Cost of Delay Model

v4.0.0 · Economic

Translate delay events into ₹ cost impact.0.912026-05-25production Why
Anomaly Detection Engine

v5.5.0 · Foundation

Detect anomalies in any telemetry stream.0.912026-05-27production Why

National logistics indicators

Congestion Score

62/100
+4

vs 24h

Avg dwell

18.4h
-0.6h

vs 7d

Network utilization

78%
+2.0 pts

Live logistics map

Every monitored node, live. Click any pin to inspect.

Healthy Watch Critical Sea Rail Road Air

Trend telemetry

Health Index

84.6

-1.4 pts vs 30d

Congestion

62

+4 vs 30d

Throughput

413k

+3.4% vs 30d

Dwell

18.4h

-0.6h vs 30d

Utilization

78%

+2.0 pts vs 30d

Economic impact (USD)

$14.22B

+3.4% vs 30d

Network topology & flow

APACEMEAAMERSINSHGHKGICNNRTDELMUMBLRBMRSYDRTMANRHAMBERMUCPARMRSBCNDXBJNBEU2ISTLAXPOLLGBCHINYCATLMIAYYZYVRMEXSSZAM3
o-apac → m-sea · 4,200 TEU/dayo-apac → m-air · 900 TEU/dayo-apac → m-rail · 700 TEU/dayo-emea → m-sea · 2,600 TEU/dayo-emea → m-rail · 1,800 TEU/dayo-emea → m-road · 1,400 TEU/dayo-amer → m-sea · 2,100 TEU/dayo-amer → m-rail · 1,700 TEU/dayo-amer → m-road · 1,900 TEU/dayo-amer → m-air · 600 TEU/daym-sea → d-emea · 3,200 TEU/daym-sea → d-amer · 3,100 TEU/daym-sea → d-apac · 2,600 TEU/daym-rail → d-emea · 1,800 TEU/daym-rail → d-apac · 1,400 TEU/daym-rail → d-amer · 1,000 TEU/daym-road → d-emea · 1,400 TEU/daym-road → d-amer · 1,900 TEU/daym-air → d-amer · 800 TEU/daym-air → d-emea · 700 TEU/dayAPAC originEMEA originAMER originSeaRailRoadAirAPAC destinationEMEA destinationAMER destination

Congestion intelligence

Congestion heatmap
7 days × 24 hours · network-wide intensity
0003060912151821MonMon 00:00 — 27Mon 01:00 — 27Mon 02:00 — 37Mon 03:00 — 34Mon 04:00 — 38Mon 05:00 — 49Mon 06:00 — 39Mon 07:00 — 51Mon 08:00 — 67Mon 09:00 — 58Mon 10:00 — 70Mon 11:00 — 68Mon 12:00 — 64Mon 13:00 — 59Mon 14:00 — 68Mon 15:00 — 66Mon 16:00 — 67Mon 17:00 — 62Mon 18:00 — 60Mon 19:00 — 44Mon 20:00 — 51Mon 21:00 — 32Mon 22:00 — 40Mon 23:00 — 29TueTue 00:00 — 35Tue 01:00 — 22Tue 02:00 — 30Tue 03:00 — 38Tue 04:00 — 44Tue 05:00 — 40Tue 06:00 — 50Tue 07:00 — 52Tue 08:00 — 64Tue 09:00 — 61Tue 10:00 — 62Tue 11:00 — 78Tue 12:00 — 66Tue 13:00 — 68Tue 14:00 — 75Tue 15:00 — 53Tue 16:00 — 64Tue 17:00 — 47Tue 18:00 — 61Tue 19:00 — 54Tue 20:00 — 49Tue 21:00 — 28Tue 22:00 — 32Tue 23:00 — 41WedWed 00:00 — 38Wed 01:00 — 34Wed 02:00 — 27Wed 03:00 — 32Wed 04:00 — 50Wed 05:00 — 53Wed 06:00 — 50Wed 07:00 — 51Wed 08:00 — 69Wed 09:00 — 60Wed 10:00 — 61Wed 11:00 — 64Wed 12:00 — 62Wed 13:00 — 60Wed 14:00 — 57Wed 15:00 — 70Wed 16:00 — 61Wed 17:00 — 53Wed 18:00 — 44Wed 19:00 — 45Wed 20:00 — 48Wed 21:00 — 38Wed 22:00 — 36Wed 23:00 — 41ThuThu 00:00 — 25Thu 01:00 — 25Thu 02:00 — 39Thu 03:00 — 47Thu 04:00 — 30Thu 05:00 — 55Thu 06:00 — 54Thu 07:00 — 63Thu 08:00 — 55Thu 09:00 — 59Thu 10:00 — 74Thu 11:00 — 72Thu 12:00 — 71Thu 13:00 — 74Thu 14:00 — 65Thu 15:00 — 63Thu 16:00 — 53Thu 17:00 — 55Thu 18:00 — 42Thu 19:00 — 40Thu 20:00 — 43Thu 21:00 — 35Thu 22:00 — 38Thu 23:00 — 39FriFri 00:00 — 29Fri 01:00 — 27Fri 02:00 — 33Fri 03:00 — 45Fri 04:00 — 47Fri 05:00 — 56Fri 06:00 — 45Fri 07:00 — 48Fri 08:00 — 61Fri 09:00 — 61Fri 10:00 — 75Fri 11:00 — 62Fri 12:00 — 60Fri 13:00 — 65Fri 14:00 — 64Fri 15:00 — 59Fri 16:00 — 55Fri 17:00 — 55Fri 18:00 — 52Fri 19:00 — 56Fri 20:00 — 37Fri 21:00 — 31Fri 22:00 — 44Fri 23:00 — 43SatSat 00:00 — 17Sat 01:00 — 18Sat 02:00 — 23Sat 03:00 — 24Sat 04:00 — 27Sat 05:00 — 34Sat 06:00 — 38Sat 07:00 — 45Sat 08:00 — 52Sat 09:00 — 47Sat 10:00 — 53Sat 11:00 — 48Sat 12:00 — 66Sat 13:00 — 46Sat 14:00 — 60Sat 15:00 — 41Sat 16:00 — 36Sat 17:00 — 34Sat 18:00 — 38Sat 19:00 — 23Sat 20:00 — 31Sat 21:00 — 23Sat 22:00 — 27Sat 23:00 — 30SunSun 00:00 — 28Sun 01:00 — 15Sun 02:00 — 16Sun 03:00 — 29Sun 04:00 — 32Sun 05:00 — 23Sun 06:00 — 44Sun 07:00 — 34Sun 08:00 — 38Sun 09:00 — 61Sun 10:00 — 44Sun 11:00 — 64Sun 12:00 — 50Sun 13:00 — 56Sun 14:00 — 62Sun 15:00 — 58Sun 16:00 — 49Sun 17:00 — 50Sun 18:00 — 29Sun 19:00 — 44Sun 20:00 — 29Sun 21:00 — 15Sun 22:00 — 25Sun 23:00 — 31
Low
High
Congestion clusters
Utilization × dwell · bubble = throughput · color = risk
60%70%80%90%100%10h16h22h28h34hUTILIZATIONDWELL (h)RTMSHGMUMCHIPOLDELHAMANRSSZLGBPARMRSJNBMEXMUCSINNYCYVR

Active disruptions

Click any card to inspect the affected node.

Economic impact breakdown

Today's contribution to value preserved across the network.

Freight

$6.4B

Demurrage avoided

$1.1B

Warehousing

$3.0B

Last-mile

$2.5B

Duties & customs

$1.2B

Ved insights

Related surfaces

Continue your investigation in adjacent modules.

Logistics Network

Topology of nodes, lanes, and flows.

Shipments & Flow

Movement of goods, in-transit telemetry.

Control Tower

Exception management and live response.

Incidents

Status, RCA, timelines — every disruption tracked.

Agent Activity

Live observations, predictions, approvals.

Data provenance

all streams nominal

CoreSync

live

node/lane telemetry · 184 streams

TimeVault

indexed +3s

historical archive · 90d hot

Constraint Graph

rebuilt 02:14 ago

147 constraints · 1,284 vars

Insight Hub

live

agent observations + briefings

Ved Fabric

live

8 agents · 45 models active