Boarding runs to plan.
The count reaches the gate before the passengers do, so decisions get made with time to act on them rather than in the last five minutes.
Type, size and per-passenger bag count against your own allowance rules — captured at the pre security access or even during boarding. Real time insights for planning and execution. The data and decisions arrive before the bags do.
A cabin bag generates no data anywhere in its journey. The bag exists and the operation is blind to it.
Gate-checking becomes a precaution rather than a decision — too early and you take bags from a cabin that had room, too late and boarding slips.
Two questions an agent can't answer while boarding 180 people: is this bag too big, and is this passenger carrying more than their fare allows? The allowance sits in the DCS. The bags are in the queue. Nobody joins them up. Enforcement becomes a person eyeballing the flight quantity and a bag size — inconsistent between agents, argued with by passengers, and happening at the exact moment you can least afford a delay. Some passengers pay for their bag. Others just carry it on.
Airlines define policies and forecast passenger loads by route and season. Real-time cabin baggage is the number those forecasts don't have, so it gets estimated from load factor and fare mix instead of actuals. On time performance and passenger satisfaction suffer the most.
The count reaches the gate before the passengers do, so decisions get made with time to act on them rather than in the last five minutes.
Size and allowance checked consistently across agents, gates and shifts — not by eye, and not only when someone has time.
Real numbers by route and time of day replace estimates drawn from load factor and fare mix. Definitive proof why the variance between locations, routes, time of day and season.
Cameras sit at the e-gate lanes. No new step or flow disruption for passengers, no new task for your teams.
Cameras at the e-gate lanes image every cabin item as passengers walk through. Faces are blurred at capture. No change to passenger flow.
Each passenger is linked with their boarding pass to their flight. Every bag classified by type — trolley, backpack, personal item, laptop bag — and by size: overhead, under-seat, oversized. Counted per passenger and per flight, against your own allowance rules.
The count reaches the gate before the passengers do, so staff planning and gate teams work from a number instead of an impression. Airlines and handlers can work together to optimise policies based on data driven intelligence.
The data. Bag count per flight in real time · type · size class against your own limits · per-passenger count for allowance checks · trend analysis by route and time of day. Data privacy and compliance filters ensure that only the relevant data is processed for legitimate business purposes.
The BagTalk API feeds data into your DCS, AODB or analytics platform. Open REST, documented.
Dashboards for live counts, trend analytics and configurable alerts. Nothing to build or host.
cabin baggage data across the terminal estate, where none exists today. Something to put in front of your carriers that no other airport can, and a stronger position in every conversation about why they should grow at your airport.
For Airportsthe operational picture before boarding, and a cabin bag policy applied the same way every time. Where the cabin bag is part of the fare, that consistency is worth money as well as minutes.
For AirlinesThe technology is ready and proven. We work with you to prove the value in your own environment, in line with your operational needs and support the business case needed before you commit to anything wider.
Validated in live airport environments with major airports, airlines and agencies in Europe and North America.