UNDERSTAND / TWN

Digital Twin

A live, replay-able mirror of the national logistics network. Perturb it before you change reality.

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
Recommendation Engine

v4.0.2 · Foundation

Rank interventions by NPV.0.902026-05-26production Why

Twin status

Unified twin · scope

Digital Twin · NATIONAL mirror

10 nodes · 9 flows

JNPTh88Mundrah92Chennaih84Jhansi Rlyh78ICD Tughlakabadh82ICD Dadrih86Bhiwandi DCh90Bangalore DCh87Ahmedabad LPh81Cochinh79
port
rail
wh
dc
hub

Time replay · 24-hour window

Scrub through history. Annotated events show what changed and what the twin would predict next.

T+00:00
00:0024:00

What-if · perturbation studio

Pull on policy and operational levers; the twin counter-factual updates in real time.

What-if · perturbation studio

Twin counterfactual analysis

+8%
0%30%
+6%
0%25%
+4%
-10%20%
0%
-20%30%

Cost trajectory · 14d

Cost Δ-17.8%
Transit Δ-0.50d
SLA uplift+2.2 pts
CO₂ Δ-7.0%

Twin surfaces

Top scenarios

Quick actions

Related surfaces

Continue your investigation in adjacent modules.

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