each lift and, using ai, traffic patterns are worked out from the data gathered. it means the breakdowns can be anticipated and lifts can be made available on the floors they are needed most. itide made available on the floors they are needed most. we can rovide they are needed most. we can provide to _ they are needed most. we can provide to building _ they are needed most. we can provide to building managers i provide to building managers clear analytics of which floor are the most abused, how other traffic patterns during the day, which are the door cycles and how they can actually reprogram the lift patterns to match the traffic patterns of the building.— match the traffic patterns of the building. and wheelchair users can — the building. and wheelchair users can have _ the building. and wheelchair users can have an _ the building. and wheelchair users can have an even - the building. and wheelchair. users can have an even longer wait but that could be about to change. if you're waiting for one of these lifts, you can use a connected smart device instead of reaching for the button. it is potentially useful for wheelchair users. but the interface is already being developed so that people needing that extra space can be allocated lifts but are less crowded, or evenjust allocated lifts but are less crowded, or even just dedicated to them — which should be pretty efficient. that's it for