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Use Cases  /  AI Forecasting
Use Case 07

Cut Catering Waste and Cost with AI-Driven Forecasting

Catering waste stems from loading for uncertainty. Paxia Insights forecasts demand flight by flight from load factor, route, and season, so you load for the flight you'll actually fly, not a full-cabin worst case.

PAXIA CATERING OPS · BOARDING PASS
NAMECut Catering Waste and Cost with AI-Driven Forecasting
FROMGUESSWORK
✈
TOPRECISION
FLIGHTPX-07
CLASSAI FORECASTING
SEQ07 / 07
STATUSEXPLORE →
PX-0707
The Challenge

Waste Is the Price of Guessing

Your team knows catering, and no one wants to run short in the air. But without a forecast they can trust, the safe move is to load for the worst case, so flights routinely go out overprovisioned. That padding is real food, cost, and weight. Three cracks show up again and again.

Loads are guessed from last year
Uplift is set from static averages or a full-cabin worst case, not the demand this flight will actually see, so most flights carry more than they need.
The cost of over-catering remains hidden
Meals that are boarded and thrown away rarely trace back to a number anyone owns, so waste is absorbed as a cost of doing business instead of managed.
Problems surface after the invoice
By the time consumption and spend are reviewed, the flights have flown. Patterns and overruns are seen in hindsight, not caught ahead.
How Paxia Cloud Helps

From Catering the Worst Case to Loading the Flight You'll Fly

Paxia Insights turns the data your operation already generates into live dashboards and demand forecasts, and PAX.AI, our analytics agent, answers questions across both. Every flight is planned to what it will actually consume, not a full-cabin worst case.

PAXIA · INSIGHTS FLEETWIDE LIVE
Summary
Catering Cost
PAX.AI
Weight & waste — at a glance
Avg Intl Flight Weight
2,286 KG
▼ 0% vs 2,288
Avg Weight / Seat
9.12 KG
▼ 0% vs 9.14
Avg Weight / PAX
12.84 KG
▲ 6% vs 12.14
Avg Product Weight
2,943 KG
▲ 1% vs 2,920
Newly Published Products
lighter84
heavier29
unchanged8
Overweight Stowages
9.3%
Product Weight Variances
3
flagged lighter
Catering cost per flight — history + forecastBOEING 787 ROUTES · USD
Total catering cost / mo
$7.0–11.0M
13-month window
Cost / flight · peak
$6,270
—
Cost / PAX
$24.78–33.25
seasonal band
Cost / flight (history)Forecast · next 60 days
PAX.AI — ask across history & forecastANALYTICS AGENT
MonthFlightsTotal costCost / flightCost / PAX
Break down by 787 variantCompare vs Boeing familySplit short vs long-haul
Ask about flights, costs, catering, occupancy, on-time performance…Send
How It Connects

The Modules Behind This Use Case

A forecast is only as good as the data behind it. Paxia Insights reads across the same platform that already runs your catering operation, turning the records you generate every day into forecasts you can act on:

Every Paxia module — the record the forecast is built on

Specifications, Schedules, Galleys, Orders, and Invoices already run on one Paxia platform, so the forecast is built on what was specified, planned, loaded, ordered, and invoiced across the operation, not a spreadsheet exported after the fact.

Insights — forecasting and spend modeling

Insights models that history by route, season, cabin, and load factor to forecast demand for the flights ahead, and to show what a catering decision will cost before it's made.

Because the forecast is grounded in 25+ years of real airline catering operations rather than a general-purpose model, its predictions are reliable enough to load against.

Proven Worldwide

Running at Real Airline Scale

LIVE · SYSTEMWIDE
25+
YEARS OF CATERING DATA
700M+
PASSENGERS PER YEAR
5.38M+
FLIGHTS PER YEAR
Cleared for Takeoff

Forecast the Load, Not the Worst Case

Schedule a demo, and we'll show you how Paxia Insights forecasts catering demand flight by flight, and where the biggest waste, cost, and weight reductions are likely to come from.

PAXIA CATERING OPS · BOARDING PASS
FROMGUESSWORK
✈
TOPRECISION
FLIGHTPX-07
STATUSNOW BOARDING
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