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Run your restaurants to the rhythm of the real world.

Factori gives QSR and fast‑casual brands the real‑world data they’re missing, how people move, who lives nearby, what’s happening in the area, and how local markets are spending, so you can make better calls on forecasts, staffing, sites, and promos.

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Transform your 
restaurant operations

QSR is won and lost on small margins and short windows: the lunch rush, the game night, the storm, the new competitor across the street.

Most teams are still planning off:

Last year’s sales

Simple calendars

A few one‑off site studies

Factori adds the outside‑in view, so you can:

Improve demand and labor forecasts

Open fewer weak sites and more strong ones

Aim promos and media at the right neighborhoods

Explain performance with data, not just anecdotes

Improving day-to-day operations with real world context

Sales & demand forecasting

Make short‑term forecasts that account for local traffic, events, and market shifts.

Labor & scheduling

Align crew levels with real visit patterns, not just averages or “what we did last year.”

Site & format decisions

Decide where to open, relocate, or add new formats (drive‑thru only, smaller footprint, etc.).

Drive‑thru & delivery performance

Staff and plan for the mix of dine‑in, drive‑thru, and delivery in each trade area.

Local marketing & offers

Focus spend and offers on neighborhoods where demand and fit are strongest.

The data QSR teams leverage

You bring POS, loyalty, and ops data. Factori brings the real‑world layer.

Mobility

Mobility

How many people are around each restaurant, when they come, and how that’s changing.

Places

Places

Clean details on nearby stores, restaurants, venues, and services.

Business

Business

Competitors and complementary brands around each site; how dense or sparse the market really is.

People

People

Aggregated view of who lives and works nearby: families, workers, students, income bands.

Events

Events

Sports, concerts, festivals, school breaks, holidays—everything that drives spikes and dips.

Retail

Retail

How food and related spending is trending in your category by market.

Market

Market

Where search and commerce interest for your category and brand is rising or falling.

Property

Property

How the neighborhood is built (housing, density, formats) and how it’s changing.

How QSR brands use real world data

Better forecasts and inventory

  • Use Mobility, Events, and Economic data to adjust daily and weekly forecasts by store.
  • Build staffing curves that reflect when people actually show up, including event nights and seasonal shifts.

Smarter site and format choices

  • Combine Places, Business, People, and Property to score potential sites and avoid cannibalization.
  • Decide where to prioritize drive‑thru, delivery‑first, or smaller formats.

Higher‑impact local marketing

  • Use Market and Retail Sales data to pick launch markets and focus promos.
  • Align offers with neighborhood profiles (families vs office workers vs students).

Stronger delivery & off‑premise ops

  • Combine Traffic, Mobility, and Events to set realistic delivery promises and plan for surge windows.

Questions you will finally have clear answers to

Which restaurants should get extra crew on game nights or concert days?

Where should we test our next format or concept first?

Where is category interest rising but we don’t yet have strong presence?

Which locations are underperforming given their footfall, competition, and local audience?

How should staffing and promo plans change in neighborhoods where economics are softening?

Leading data & ops teams power decisions with better data

Heads of Operations and Restaurant Performance

who need error down and trust up.

Looking for clean, reliable visit data to plug into models and dashboards.

Looking for clean, reliable visit data to plug into models and dashboards.

Looking for clean, reliable visit data to plug into models and dashboards.

Looking for clean, reliable visit data to plug into models and dashboards.

Get started

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Pick a focus area

For example: forecast & labor accuracy, new site decisions, or local marketing for a region.

Choose a small data bundle

Common starting point for QSR: Mobility + Events + People + Business, then layer in Market or Retail Sales as needed.

Run a side‑by‑side test

Compare “current approach” vs “current + Factori data” on a set of restaurants, and review the impact on accuracy, staffing, and decisions.

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