Air Cargo Revenue Management demo

Forecasts demand, balances allotments and recommends cargo rates by lane, for RM analysts 1:34

What the demo shows

Forecasts demand, balances allotments and recommends cargo rates by lane, for RM analysts

Seven agents work every lane. They forecast weight, volume and show-up for each departure and each booking, read the market (rival freighter changes, rate indexes, quote requests, forwarder email, aircraft swaps), and draw a bid-price ladder over every flight on the lane so the analyst sees at a glance where the floor sits below what the next kilo is worth. The Pricing agent proposes floors, spot rates, overbooking and soft-allotment releases with the revenue effect, who is turned away and where they go; a Checker re-computes each one on its own and blocks it when they disagree. The analyst asks why, tunes the move and watches it re-simulate, then approves, edits or rejects with a reason code; above the limit the Head of Cargo Pricing co-signs. The Publisher writes only signed rates and reads them back, and after departure the Accuracy reviewer scores every decision against flown revenue.

Transcript

  1. Air Cargo Revenue Management Agents forecast demand, balance allotments and recommend cargo rates It's for cargo revenue analysts, an $142 billion market
  2. with falling yields. Elena starts with what needs her before the noon publish, every line cited.
  3. She opens Chicago to London, a bid-price ladder over each flight this week.
  4. Thursday is 71% booked, it's $2.10 floor below the $2.45 bid price.
  5. The pricing agent says why.
  6. Pharma demand is up 18% after a rival cut a freighter.
  7. It proposes $2.45, about $14,000 more.
  8. The checker re-ran a loan and agrees.
  9. Sales wants Brightline's extra ton kept, so Elena tunes to $2.35.
  10. She approves with the reason code.
  11. The publisher writes the rate and reads it back.
  12. Every value cited, every rate signed, every step logged.
  13. The result, about $13,000 more on one flight the same morning.
  14. Built on Botminds: agents, data, screens, and governance on one platform.

Transcribed from the film’s narration. Captions are on the player.