Demo

See it on an airline before you send a file

Two ways to look: the platform itself on a fictional demo airline, run through the real rules, and an interactive fuel study on eleven years of a real MD-80 operation.

The demo airline

Fleet Intelligence, screen by screen

A fictional airline: six MD-83s and eight A320-family aircraft, three years of records, every registration, serial and part number invented. The figures are what the platform worked out from them.

Fleet overview: cost of unreliability $5.52M split into removals, delays and excess fuel; dispatch reliability, pilot reports, removals, alerts, deferred items and repetitive defects
Actions: 42 items with $1.68M a year at stake, filtered by status and type, each with owner, due date and note
Systems: pilot report rates and alert levels for every ATA chapter
Reliability report builder
Fuel: each aircraft against the burn model, with excess fuel and its cost
Components: each part type with removals, MTBUR, no-fault-found share and cost
Part-number optimiser: part numbers compared on time on wing and cost
Cost of unreliability broken down into removals, delays and excess fuel
Data: what each analysis can use now, and every record type with its template and import button
The cost of unreliability, the reliability figures that matter, and what to do now.Fictional airline, example costs
14
aircraft, two types
25,266
technical-log write-ups
3,144
component removals
6,686
delays and cancellations
42
actions, $1.68M a year at stake
The fuel study

Eleven years of one real MD-80 operator

133,763 real flights and 58,068 technical-log defects from a regional operator, anonymised. The study went further than the platform's standard checks: crew technique on the same route and type, flight time against the best flights, and the season. It opens in your browser.

Demo overview: 3,029 tonnes a year of savings potential, this month's exceptions and recommended actions Demo aircraft view: MD-04, 3.75% above the fleet model over 12 months, with actual against expected burn Demo pilots view: 724 kg per sector between the most and least economical of 75 captains on one route Demo pilot view on a tablet: one captain's position on the route and last ten flights
Savings potential, this month's exceptions and the drafted actions.Click the screen to open it
133,763
flight sectors
58,068
technical-log defects
13
aircraft
152
captains
11
years of data
In the fuel study

Three things the study found

One aircraft

Above the model every year

One aircraft burned more than the fleet model expected in every year on record. Its engines were normal; its bleed and air-conditioning defects were not. Fifteen engine changes made no difference.

Crew

Same route, same aircraft

On the busiest route, 724 kg per sector separates the most and least economical captains, and the gap is stable. Managers see an anonymous distribution; each captain sees only their own record.

Fuel planning

Fuel carried home

The fleet lands with a median 5,450 kg of fuel after a 4,900 kg trip. The demo shows what a controlled cut is worth, within the legal minimums.

Before you open it

How to use the fuel study

  • Pick a role to start: CEO, operations, technical, fuel efficiency team or pilot. Each one opens on the view that role would use.
  • Or press Start the guided presentation for a ten-step tour of the main findings.
  • Every finding comes with a drafted work order you can copy.
  • It works best on a laptop or a larger screen.

About the data

These are real flights and defects from one regional operator. Its name, aircraft registrations, pilot names, airport codes and flight numbers have been removed or replaced with codes; the numbers are unchanged. Dates are shown in the Gregorian calendar. Dollar values use an example fuel price of $800 a tonne, the same as our fuel calculator, and you can change it inside the study.

The study runs in your browser. Nothing you do inside it is sent to us.