PRM DEMAND FORECASTING

PRM demand arrives in two streams: pre-booked assists on the airline manifest, and ad-hoc requests that only surface on the day. Rosters are set the night before against last week's average, so when an inbound bank lands heavy the operation is already short. Agents, wheelchairs and ambulifts are in the wrong place, wait times climb, and ECAC thresholds start to slip before anyone can react.

Actors

  • Head of PRM Operations
  • Duty Manager
  • Resource Planner

Systems / Vendors

  • AODB / live flight feed
  • Airline PRM booking
  • TimeGate / SAP rostering

Business Question

"We know the flights days out. Why are we still finding out we're short of wheelchairs after the bank has already landed?"

What SPoG Does

  • Forecasts pre-booked and ad-hoc PRM volumes by hour, terminal and assist type from manifest, historical and live flight data.
  • Triggers agent, wheelchair, ambulift and buggy plans ahead of the inbound bank, not after queues form.
  • Re-forecasts continuously as flights, gates and demand move through the day.

Outcome Metrics

−25%

SLA breaches at the bank

1

Live plan, every terminal

<12 wks

To first outcomes