DemandCast
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Use Cases

One forecast. Nine ways to run on it.

Every use case starts with a question an operator actually asks. It ends in a decision made earlier, cheaper and with evidence.

Footfall forecasting

“How busy will we actually be tomorrow?”

Stop opening the doors blind. DemandCast tells you tomorrow's demand for your exact address, by time of day, days in advance, with every driver named. Not the city, not the barrio: your door.

Thursday reads +34% with the build starting at 10:30? You knew on Monday. A structurally quiet Tuesday? You saw that coming too, and planned for it instead of paying for it.

Busyness rhythmArrivalsWeatherEvents

Staffing optimiser

“Am I paying people to stand around, or drowning my team?”

Overstaffing burns money. Understaffing burns your team. Your best people, your service and your reviews all pay for a rota copied from last week. Build tomorrow's rota on tomorrow's actual curve.

The forecast shows the peak at 13:00 to 15:00 running +31%, so the second shift starts at 12:00 instead of 14:00. One right call like that pays for the month.

Time block forecastLabour plannerPeak windows

Inventory planning

“What do we prep, and what will we throw away?”

Order against expected demand, not habit. Fewer stockouts on the loud days, less waste in the bin on the quiet ones, and no more heroic guessing on Friday afternoon.

A +42% Saturday flagged five days out means the order goes in on Wednesday at normal prices. Not an emergency run on Saturday morning at whatever it costs.

Daily forecast14-day outlookKey dates

Marketing timing

“Why discount a Friday that was already going to be full?”

Discounting a full house burns margin. Promoting into a dead zone is shouting at an empty street. Put offers into quiet windows you can actually fill and keep the loud days at full price.

The forecast shows Tuesday 17:00 to 19:00 structurally soft every week? That is where the campaign goes: timed, targeted and finally measurable.

Weekly outlookQuiet windowsEvent calendar

City demand view

“What's moving around us that we can't see?”

Two ships, 6,100 passengers, docking at 09:00. A stadium filling at 19:45. A feria pulling your whole barrio across town. Demand moves through a city in waves, and most operators only see the wave when it hits.

The zone view shows where demand is flowing across your area, hours and days ahead, so you position for it instead of reacting to it.

Zone mapArrivalsCitywide events

Opening hours

“Are we open when the demand actually is?”

Most opening hours were set by habit years ago. Demand doesn't care. See the real shape of your street's day, season by season, and put your hours where they earn.

If your last hour serves 2% of the day's demand at full staffing cost, you will see it in black and white. And if port days justify opening an hour early, you will see exactly which days those are.

Time block forecastSeasonalityZone rhythm

Peak shifting

“We lose customers exactly when we're busiest.”

A crush isn't a win. It's walkaways at your peak, a hammered team, and empty seats an hour later. The fix isn't more capacity. The fix is moving demand.

Know the crush is coming, then move part of it into the shoulder beside it with bookings, offers and messaging. Shift 15% of the 14:00 peak into the 16:00 lull and you serve the same day without losing a customer to the queue.

Peak windowsTime blocksPromotions timing

Performance alerts

“By the time we notice, it's too late to react.”

Most operators find out at closing what they should have known at lunch. DemandCast watches your day against the forecast, and against the street's, and tells you the moment it breaks pattern with the likely reason.

Running −20% at 12:30 on a day your zone is up? That is five hours of reaction time. Push the promo, adjust the prep, make the call while it still changes the day.

Live deviationRisk CentreAlerts

Event ROI

“Did that event actually pay off, or did it just feel busy?”

Feeling busy isn't evidence. Compare what an event, feria or campaign really did to your demand against the day you would have had without it: the honest counterfactual.

The concert night: +27% against baseline. The paid promotion: +4%. Now next month's budget writes itself, and the money goes where the numbers went.

Time MachineEvent impactPerformance analysis
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