Qwaiton's AI studies your queue history and forecasts what's coming — how long waits will be, when your peaks will hit, and how many people you'll need on the floor. Staff ahead of demand, show customers honest wait times, and stop getting caught out. Built in. No setup.
Trusted by 65,000+ users across 120+ countries
AI wait-time predictions use machine learning to forecast what your queues are about to do. Instead of reacting to a line that's already formed, Qwaiton looks at your history — by hour, day, location and service — and tells you what's coming next.
That means a realistic wait estimate for every customer before they even join, a heads-up on the exact hours that will get busy, and a clear recommendation for how many people to have on the floor. The line stops being a surprise, and every plan you make is backed by a forecast instead of a hunch.
Explore the features →Prediction turns a reactive scramble into a calm, planned day — for customers, staff and managers alike.
Know your busy hours days in advance and roster to match. No more scrambling when the line suddenly builds — or paying for staff you didn't need.
Show a realistic estimate before anyone joins the queue. Clear expectations calm the room, cut "how long?" questions, and stop people walking away.
The AI does the number-crunching and hands you a plain recommendation. No spreadsheets, no data scientist — just clear guidance you can act on now.
A manager sits down on Friday to plan next week's staffing. Here's how it goes with a gut feeling and last year's memory — and how it goes once the AI is forecasting demand.
No models to train, no add-ons to buy. It's part of Qwaiton.
See exactly when demand will spike — by hour and day, days in advance — so a busy period is never a surprise again.
Turn each forecast into a plain recommendation: how many people to have on the floor, and exactly when to add or release them.
Give every customer a realistic wait before they join and on their live ticket — honest expectations that calm the room.
Get warned the moment a day starts trending away from the norm, so you can react before a queue gets out of hand.
The model learns paydays, weekends, holidays and seasonal swings, and factors them into every forecast automatically.
Every branch gets its own forecast, and HQ sees them all — compare predicted demand across the whole network at a glance.
Four forecasts, updated in real time as the day unfolds.
How long people will wait — right now and later today.
The exact hours demand will spike, days ahead.
How many people you'll need on the floor, and when.
Unusual spikes flagged the moment they begin.
The model studies your queue history — by hour, day, location and service — and keeps learning from every new visit.
Wait times, rush hours and staffing needs are predicted ahead of time and refreshed in real time as the day unfolds.
Follow a clear staffing recommendation, show customers accurate waits, and respond to surge alerts before they bite.
There's nothing to train, tune or configure. Predictions switch on automatically and learn from the data you already generate — so a busy manager gets a data-science team's foresight without lifting a finger.
Watch predicted versus actual demand for every location, get ahead of the peaks the AI has flagged, and see the staffing plan it recommends — all beside the live numbers your team is running on.
−41% patient wait
Forecast clinic demand and staff to it — calmer rooms, shorter waits.
Explore Healthcare →
−40% branch wait
+28% advisor time
−35% walk-aways
+22% table turns
−50% no-shows
−30% queue time
+30% daily capacity
"The forecast is scary good. It told us Thursday afternoons were about to get busy weeks before we felt it — we staffed up, and the queues never formed. We've stopped guessing the rota entirely."
It's a machine-learning feature that studies your queue history and forecasts what's coming — how long waits will be, when your rush hours will hit, and how many staff you'll need — so you can plan ahead instead of reacting. Customers also see more accurate wait estimates before they join.
No. Predictions are built into Qwaiton and switch on automatically. The model learns from the queue data you already generate — there is nothing to configure and no analyst required.
It starts producing useful forecasts within a couple of weeks of activity and keeps getting sharper as more data accumulates, continuously adjusting to your latest patterns.
Accuracy improves over time as the model learns your specific rhythms by hour, day, location and service type. It also flags unusual surges so you're warned when a day is trending away from the norm.
Yes. Instead of a vague guess, customers see a realistic estimated wait before they join and on their live ticket, which sets honest expectations and reduces complaints and walk-aways.
AI wait-time predictions are included with every Qwaiton plan from $50/month per location, with a free 14-day trial and no credit card required. See full pricing — Enterprise plans add advanced forecasting and integrations.
How leading teams cut wait times, walk-outs and no-shows — a practical checklist you can act on this week.
Not ready for a trial? Grab the guide and decide later.
The quick answers that usually come up right before starting a trial.
No. Your 14-day free trial needs no card and no commitment — just an email to get in.
Most teams are live the same day. Create your first queue in minutes — no hardware or IT project required.
Pick a plan (from $50/mo) if it’s working for you, or the trial simply pauses. We never auto-charge a card you didn’t enter.
Yes — there’s no lock-in. Cancel with one click whenever you like and your data stays yours to export.
Yes. Qwaiton connects with Zapier, Zoho, GoHighLevel and Tomedo, so it fits the stack you already run.
Your data is encrypted in transit and at rest, handled with GDPR and consent in mind, and never sold.
Start your free 14-day trial — AI predictions included, no credit card, live in one day.
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