Staff and plan for each store’s own rush
Weekly foot traffic forecasts for every location you run. Staff for each store’s peak, and plan deliveries, inspections and visits in its quiet hours.
Start free API documentation1:26 · Example: New York City, six Starbucks stores (example data, not affiliated). Products in the video are fictional; the data is real BestTime data.
The problem
Shifts on gut feel
Queues at the peak and idle staff in the quiet hours.
Visits at rush hour
Deliveries, inspections and field visits land when the store is busiest.
No sensors everywhere
Counters at a few flagship stores don’t cover the whole network.
How BestTime helps
Hourly foot traffic forecasts for public venues, from anonymized mobile device signals from a sample of visitors, combined with weather, events and holidays. Busyness is a percentage of each venue’s own busiest hour.
Collections
collection_ids=col_…Save your own venues or a shortlist once, then filter and refresh only those.
Weekly forecast
GET /api/v1/forecasts/weekEvery hour of the week for one venue, as a percentage of its own busiest hour.
Peak and quiet hours
GET /api/v1/forecasts/peaks · /quietWhen each venue fills up, peaks and calms down, per day.
Venue Filter
GET /api/v1/venues/filterEvery venue in an area or collection, filtered by type, day, hours and busyness, each with its hourly curve. One call, sorted the way you need.
What it brings
- Every location’s week, hour by hour, compared only with itself.
- Shift plans built around each store’s own peak.
- Deliveries and visits planned in quiet windows.
- Which stores are in a quiet hour right now, from one call on your collection.
Typical teams
Multi-location retailers
Staff each store for its own rush.
Restaurant and café groups
Prep and staff before the peak.
Field service and merchandising
Visit stores in their quiet hours.
Questions
Do I need sensors in my stores?
No. Forecasts come from anonymized mobile device signals from a sample of visitors, combined with weather, events and holidays.
Can I compare my stores with each other?
Each store is measured against its own busiest hour, so use it to plan each store’s week, not to rank stores by visitor numbers.
Video transcript
Monday morning. Six cafés in New York City, one schedule: the same team size at every store, every hour.
So there's a line out the door at the peak, and staff with little to do an hour later. Deliveries and store visits land in the rush. And there's no sensor at every location.
BestTime forecasts foot traffic for each of your locations, hour by hour, for every day of the week. Each store is measured against its own busiest hour, so every store gets its own rhythm.
And the rhythms differ. SoHo and Williamsburg peak on Saturday afternoon. Midtown and the Financial District peak on weekdays.
Save your locations in a collection once. One Venue Filter call with the collection ID returns all of them, with their hourly curves, for any day.
Then staff for each store's own peak. On Mondays, Union Square fills up at the morning commute, the Financial District at lunch, and SoHo in the afternoon.
Plan deliveries, inspections and field visits in each store's quiet hours, with the peak and quiet hours endpoints.
Typical users are multi-location retailers, restaurant and café groups, gyms, and field service and merchandising teams.
Start free, and add your own locations as a collection in BestTime.
Learn the tools
Tutorial 4: One venue, in detailTutorial 3: Venue Filter APIOther use cases
Nightlife appsCity guides & travelSite selectionDOOH advertisingTourism & crowdsTry it on your own city
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