UNDERSTAND / EXE

Execution Intelligence

Palantir-grade causal investigation. Root-cause, bottlenecks, constraints, delay drivers and flow optimization — all wired into the live data fabric.

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
Corridor Bottleneck Prediction

v2.9.1 · Congestion

Locate emerging bottlenecks along corridors.0.882026-05-20production Why
Root Cause Discovery Engine

v3.1.0 · Foundation

5-whys causal decomposition.0.882026-05-24production Why
Graph Reasoning Engine

v2.4.0 · Foundation

Reasoning over the network graph.0.892026-05-25production Why
Constraint Solver

v6.0.0 · Foundation

Feasibility + assignment under constraints.0.932026-05-26production Why

Execution indicators

Open bottlenecks

8
ranked

Critical RCAs

2
investigating

Binding constraints

6
< 15% slack

Delay drivers

8
tracked

Exposure

$1.42M
SLA penalty risk

Recoverable

54h
if resolved

Root cause analysis engine

Root-cause analysis

5-whys decomposition tree

Delay driver analytics

Pareto contribution to system delay

Yard congestion

Network

28%

+3 pts

Customs hold time

Process

19%

-2 pts

Crane availability

Asset

14%

0

Weather / monsoon

External

11%

+1 pt

Chassis pool tightness

Asset

9%

+1 pt

Rail interchange dwell

Network

8%

+1 pt

Labor / strike risk

External

6%

+2 pts

Documentation rework

Process

5%

-1 pt

Bottleneck explorer

Bottleneck explorer

Ranked by daily lead-time impact

Constraint graph explorer

Constraint graph explorer

12 constraints · 12 dependencies

capacitypolicyassetprocesslabor
RTM Berth poolutil 96% · slack 4%RTM Crane fleetutil 71% · slack 29%Chassis poolutil 88% · slack 12%Customs single-windowutil 62% · slack 38%Pilot serviceutil 84% · slack 16%Shanghai yardutil 93% · slack 7%Trans-Pac sea laneutil 86% · slack 14%CHI rail interchangeutil 91% · slack 9%Brenner passutil 78% · slack 22%FR rail unionutil 68% · slack 32%DEL dock doorsutil 88% · slack 12%Reefer plug capacityutil 74% · slack 26%

Causal analysis network

Causal analysis network

Driver → outcome flow · 11 causal edges

DriversMechanismsSymptomsOutcomesFR rail strike risk64%Brenner snow event72hShanghai yard density93%Rail dwell rising+18%Vessel queue forming6 shipsChassis pool draw-22%RTM berth saturation96%Lead-time drift+8%SLA penalty exposure$1.4MCustomer NPS risk-6 pts

Flow optimization center

Flow optimization center

4 scenarios modeled

Quick actions

Trace upstream graph

Walk the upstream constraint graph for any bottleneck.

Explore

Generate Ved brief

LLM-authored executive brief summarizing today's RCA.

Generate

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