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Most schedules are built from history and simple rules of thumb. That breaks when:
Factori adds the outside‑in view you’re missing, so you can:
Align shifts with real footfall and visit patterns, not just last year’s averages.
Plan front‑of‑house, back‑of‑house, and housekeeping around events and local demand.
Match inbound and outbound volume patterns to labor and shift patterns.
Use external context to anticipate spikes tied to outages, storms, or big moments.
You keep your current WFM tools and forecasts. Factori feeds them better context.
You choose which signals matter most for your business. We make them simple and comparable across locations.
How people move through the physical world—visits and patterns around stores, venues, and neighborhoods.
Clean, consistent details about stores, restaurants, venues, points of interest, and their surroundings.
Privacy‑safe consumer graph covering demographics, income bands, lifestyle and interest indicators.
Local events that move demand: concerts, sports, conferences, school calendars, public holidays, and more.
Retail sales indicators by market and category to show where spend is rising or softening.
Search and commerce signals: which brands, products, and categories are gaining attention across markets.
Use Mobility, Events, and Retail Sales to reshape daily and weekly staffing curves by store, branch, or site.
Stop using a one‑size‑fits‑all rule. Group locations by neighborhood, economic strength, and visit patterns.
Combine Events and Market data to anticipate abnormal days—concert nights, big games, holiday runs, weather‑sensitive periods.
Use People, Economic, and Mobility data to set initial staffing levels where you don’t yet have history.
When labor runs high or low vs plan, quickly see if traffic, events, or local conditions were part of the story.
Which branches are consistently understaffed at peak hours?
Where can we reduce overtime without hurting service levels?
How should staffing look in new locations with similar external profiles?
How should we adjust staffing at these stores on event days vs normal days?
Which depots will feel the impact first if local demand or economics change?
Workforce management and labor planning teams=
Store, branch, and field operations leaders=
Supply chain and depot managers
Hospitality and QSR operations teams
Data & analytics teams supporting forecasting and planning
Finance & FP&A teams tracking labor costs and service levelsChoose 50–200 locations (stores, branches, hotels, depots) where staffing is a known pain point.
For example: Mobility + Events + Traffic for QSR and retail, or People + Economic + Retail Sales for branches and service sites.
Use Factori data to propose adjusted curves and coverage, then compare impact on service, sales, and labor variance.
Workforce optimization is the process of aligning staffing, labor hours, schedules, and service capacity with expected customer demand across locations, dayparts, weekdays, seasons, and market conditions.
Factori helps workforce teams predict labor needs using real-world signals such as mobility, footfall, events, weather, local activity, economic conditions, and demand trends. These signals help teams plan staffing more accurately by store, branch, region, and daypart.
Factori gives operations and workforce planning teams external demand context that internal schedules or historical sales may miss. It helps explain why certain locations need more or fewer labor hours based on real-world conditions.
Businesses can enrich labor forecasts with Factori signals to better anticipate traffic spikes, slow periods, event-driven demand, weather disruption, and local market changes. This helps improve service levels, labor productivity, employee utilization, and cost control.
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