NEURAL OPERATIONS ENGINE

The ramp, one second ahead.

Anticipate ground conflicts and decide before the delay spreads.ARD anticipates ground conflicts, simulates their consequences and proposes the best decision to dispatch, before the delay spreads.

Discover the engine Book a demo ›

RecommendationPending

Keep team E on the stand

Saves 6 minutes walking to the wrong stand

Simulated confidence0.86

The problem

Today, dispatch reacts.With ARD, it anticipates.

Flights are planned, teams assigned and equipment distributed in advance. But an early arrival, a delayed departure, a breakdown or an absence is enough to derail the sequence. The plan is precise. The day never is.

Schedule changes

Late departures, early arrivals

SN2146

TSAT

-14min

Gate changes

CURRENT

SN2146

A44

NEW

SN2146

A57

Agent schedules and available GSE

Shift hours, breaks, qualifications

AGENTS

24 / 28 AVAILABLE

00:0006:0012:0018:0024:00

Standard dispatch

Resources reassigned with only a partial view of the consequences.

Conflicts often discovered when few alternatives remain.

Fixing an immediate problem and creating another a few minutes later.

Stress and lack of time to execute safety procedures (FOD check, walkaround…).

With ARD

The answer

From catching up to anticipating.

ARD keeps an up-to-date representation of flights, teams, equipment and their constraints. When an event occurs, it builds the possible responses and analyses their repercussions on the rest of the operation.

living state · merged stream

Neural Engine

ARD Operational Engine

What it brings
The real state of every flight, as it evolves.
What it changes for you
Your teams are where the flight needs them, on time.
When things go wrong
A schedule that moves is taken into account right away.

Neural Engine

ARD Operational Engine

The results

Our impact is measured on the ramp.

Fewer delays, fewer pointless moves, and continuous optimisation of the resources already available. Figures that are quantifiable, verifiable and demonstrable.

Local disruptions spread fast: one unavailable resource or one poor reassignment is enough to degrade several consecutive departures.

ARD favours decisions that protect immediate punctuality while limiting the consequences on the operations that follow.

On-time performance (OTP)

Local disruptions spread fast: one unavailable resource or one poor reassignment is enough to degrade several consecutive departures.

ARD favours decisions that protect immediate punctuality while limiting the consequences on the operations that follow.

+6.2 ptsof D15 OTP

Fuel and CO₂

Empty kilometres, pointless repositioning and oversized equipment directly increase GSE fuel burn.

ARD cuts pointless moves and favours the right-sized resource for each mission, accounting for its position and the operations ahead.

-338 Lof GSE fuel, that is -0.91 t of CO₂

Teams and workload

When missions chain badly, some teams reach the stand too late while others still have capacity left.

ARD spreads missions according to real load, qualifications, working hours and breaks, so teams stay available when they are needed.

-55%of team set-up delay

GSE availability

Poor use or assignment of GSE can tie up a critical unit on a mission a better-suited resource could have covered.

ARD optimises GSE assignment and use according to compatibility, availability and upcoming needs, to protect critical resources for the moment they are genuinely required.

+15 ptsof critical GSE availability

The scenarios

Pick the situation, see the decision.

Four everyday disruptions, played in the same environment. Each time: what is detected, what is evaluated, what is recommended, and why that option rather than another.

Departure in 16 minutes, 59% of bags loaded.

Loading is falling behind on the stand. At this rate, hold closure lands after the slot: the flight's OTP is at risk and the next wave follows.

Departure T+16. Loading at 59%, observed rate below threshold.

Agent L4available, hold-qualified, 90 s from the standAgent M2available but takes a departure in 12 minAgent K7committed to a loading in progressAgent T1protected break, not callable

OTPdeparture held, 3 min recoveredLoad+14 min for L4, no break touchedScore0.91, best option

01
Situation
Departure T+16. Loading at 59%, observed rate below threshold.
02
Risk detected
Hold closure projected at T+19, three minutes after the slot.
03
Options evaluated
Four callable agents, compared on availability, qualification, distance, current task and next commitment.
04
Reinforcement
Agent L4 sent to the stand immediately, for the next 14 minutes.
05
Why this one
Only candidate at once free, hold-qualified and under two minutes away; the next commitment starts at T+38, so the move creates no domino.
06
Projected impact
Loading complete at T+13, departure held, no task displaced on other flights.

Agent L4

available, hold-qualified, 90 s from the stand

Agent M2

available but takes a departure in 12 min

Agent K7

committed to a loading in progress

Agent T1

protected break, not callable

Projected result

OTPdeparture held, 3 min recoveredLoad+14 min for L4, no break touchedScore0.91, best option

Four real ramp situations, played in the same environment. ARD anticipates consequences, it does not merely react to the immediate problem.

Next step

See your operation before it becomes a problem.

Simulate a real operational window and compare your current dispatch logic with ARD.

Request a simulation Discuss a pilot