Predictive Logistics Control Tower
An end-to-end connected operation that anticipates delays, explains their impact and coordinates the best response across planning, warehouse, carriers and customers.
Implementation snapshot
DELIVERED
Shipment operational twin · Predictive ETA and risk
Integrated
TMS · WMS · ERP · Telematics & IoT
Proven impact
Exceptions detected before impact
Mean time to resolution
BEFORE
The initial challenge
A multimodal logistics company managed orders, capacity, routes and incidents across TMS, WMS, ERP, carrier portals, spreadsheets and email. Teams discovered many delays only after there was no room left to recover the SLA, while every exception required dozens of manual contacts.
DELIVERED
The implemented solution
A control tower was designed to create an operational twin for every shipment, combine internal data with telematics, weather and port signals, predict exceptions and propose recovery plans. The system executes low-risk tasks and requests human approval whenever a decision changes cost, carrier or customer commitment.
Order-to-delivery-to-exception
Implemented process
Shipment
Order, load and SLA
Signal fusion
TMS, GPS, weather and ports
Prediction
ETA, risk and impact
Decision
Cost, SLA and approval
Replanning
Route, slot and resources
Communication
Customer and partners updated
SOLUTION
The delivered system
Shipment operational twin
Combines order, load, route, capacity, SLA, documents and events in one verifiable timeline.
Predictive ETA and risk
Combines history and real-time signals to anticipate delays, capacity shortages and missed delivery windows.
Exception orchestrator
Compares alternatives by cost, carbon and SLA, recommends the best action and automates tasks after approval.
Proactive communication
Generates contextual updates for customers and partners and preserves a complete resolution record.
PLUG
Implemented architecture
Models · Rules · Agents · Audit
VALUE
Results achieved
Exceptions detected before impact
>80%
Reactive management across scattered alerts
Mean time to resolution
–35% to –50%
Manual coordination by phone and email
Deliveries within promised window
+8 to +15 pp
SLA measured after delivery
Extra kilometres per exception
–10% to –20%
Replanning without systematic comparison
CONCEPT · PLUG · PLAY
How it was implemented
Priority lane and exceptions
Process map, sources, decisions, guardrails and baseline
Pilot control tower
Integrations, shipment twin, prediction and exception workflow
Assisted operations
Live lane pilot, metrics, enablement and scale plan
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