How can technology help with labor forecasting?
Technology can help restaurant owners connect POS data, timekeeping, scheduling, sales trends, labor costs, and demand drivers in one place. This makes it easier to compare forecasted labor with actual results, adjust schedules faster, reduce manual errors, and make better staffing decisions across shifts or locations.
Labor Forecasting Methods for Better Restaurant Scheduling
The Importance of Labor Forecasting
Labor forecasting matters because staffing is one of the biggest controllable costs in a restaurant. When too many employees are scheduled during slow periods, labor costs rise without enough sales to support them. When too few employees are scheduled during busy periods, service slows, ticket times increase, employees feel overwhelmed, and guests may leave disappointed.
A strong labor forecast helps restaurant owners make scheduling decisions based on expected demand instead of guesswork. This includes reviewing sales trends, guest counts, order volume, day-parts, weather, holidays, local events, and past performance. When these factors are used together, managers can better plan how many cooks, servers, cashiers, hosts, bartenders, dishwashers, and managers are needed for each shift.
Labor forecasting also protects profitability. Schedules built from habit can miss important changes, such as slower lunches, later dinner traffic, or higher delivery volume. Good forecasting also supports employees by reducing rushed service, unnecessary overtime, last-minute changes, and uneven workloads. For restaurant owners, labor forecasting connects cost control, service quality, employee performance, and guest satisfaction into one smarter scheduling process.
Historical Sales and Guest Count
Historical sales and guest count data are the foundation of accurate labor forecasting. Before restaurant owners can build a better schedule, they need to understand when demand actually happens. A schedule based only on manager memory or "how we usually do it" can miss important changes in customer behavior.
1. Review sales by day of the week - Start by comparing sales for each day. Monday traffic may look very different from Friday dinner or Sunday brunch. If sales are consistently lower on certain days, the schedule should reflect that. If weekends produce stronger revenue, more labor may be needed to protect service speed and order accuracy.
2. Break sales down by hour or day-part - Total daily sales are helpful, but they do not show when the rush happens. A restaurant may have strong daily sales because of a two-hour dinner spike, not because the entire shift is busy. Reviewing hourly sales helps owners schedule more accurately for lunch, dinner, late night, or delivery peaks.
3. Track guest count and transaction volume - Sales dollars alone can be misleading. Higher sales may come from larger checks, price increases, or catering orders, not necessarily more customers. Guest count, check count, and transaction count show how many orders employees actually handled. This helps owners understand workload more clearly.
4. Compare recent trends against older patterns - Restaurant demand changes over time. A schedule that worked six months ago may not fit current traffic. Owners should compare the last few weeks against the same period from previous months or seasons to spot changes in demand.
5. Use data to guide role-based staffing - Historical data should help determine not only how many employees are needed, but which roles are needed. If delivery orders are increasing, the restaurant may need more packaging or expo support. If dine-in traffic is rising, it may need more servers, hosts, or bussers.
By using historical sales and guest count data, restaurant owners can build schedules around real demand instead of assumptions. This creates a stronger starting point for controlling labor costs, improving service, and reducing unnecessary stress during busy shifts.
Use Day-part Forecasting
Daypart forecasting helps restaurant owners schedule labor based on when demand actually occurs during the day. Instead of looking only at total daily sales, this method breaks the day into smaller operating periods, such as breakfast, lunch, afternoon, dinner, late night, or custom hourly blocks. This is important because a restaurant can have strong total sales but still be overstaffed during slow hours and understaffed during peak periods.
1. Identify your busiest service windows - Start by reviewing sales, guest count, and order volume by hour. A restaurant may discover that lunch demand is strongest from 11.30 a.m. to 1.30 p.m., while dinner traffic may peak between 6.00 p.m. and 8.00 p.m. These windows should guide when employees start, when they take breaks, and when additional support is needed.
2. Match labor hours to actual demand patterns - A common scheduling mistake is building long, flat shifts that do not match customer flow. For example, scheduling the same number of employees from 10.00 a.m. to 4.00 p.m. may create wasted labor before lunch and not enough coverage during the rush. Day-part forecasting allows owners to stagger start times, shorten slow-period coverage, and add employees when volume increases.
3. Use different metrics for different parts of the day
Each day-part may require a different measurement. Lunch may depend heavily on transaction count and speed of service. Dinner may depend more on guest count, table turns, average check, and kitchen capacity. Delivery-heavy periods may require tracking order volume, packaging time, and driver or pickup flow. Looking at the right data for each day-part makes the labor forecast more accurate.
4. Schedule by role within each day-part
Day-part forecasting is most useful when it connects demand to specific positions. A busy breakfast period may need more prep and cashier support. A dinner rush may need stronger line cook, server, host, and expo coverage. A late-night period may need fewer total employees but stronger cross-trained workers who can handle multiple tasks.
5. Review forecast accuracy after each shift
After the shift ends, compare forecasted demand to actual sales, guest count, labor hours, and service results. If the forecast expected a slow lunch but the restaurant had a rush, the next schedule should be adjusted. If dinner was overstaffed for several weeks in a row, the schedule may need fewer hours or better start-time planning.
Day-part forecasting gives restaurant owners a more precise way to schedule labor. It helps reduce wasted hours during slow periods while protecting service quality during rushes. When used consistently, it creates a schedule that is more responsive, more cost-conscious, and better aligned with how customers actually order.
Seasonality, Holidays, Weather, and Local Events
Labor forecasting becomes more accurate when restaurant owners look beyond past sales and consider outside factors that can change demand. Historical data is important, but it does not always explain what will happen next. A normal Friday may require one schedule, while a Friday during a holiday weekend, local festival, sports event, or heavy rainstorm may require a very different staffing plan.
1. Adjust for seasonal demand changes - Many restaurants experience predictable seasonal patterns. A restaurant near a beach, stadium, college, shopping center, or tourist area may see major changes during summer, school breaks, holidays, or travel seasons. Owners should compare current demand to the same season from previous years, not just the last few weeks. This helps avoid staffing too lightly during peak seasons or carrying too many labor hours during slower months.
2. Plan ahead for holidays and special occasions - Holidays can change both sales volume and customer behavior. Mother's Day, Valentine's Day, Thanksgiving week, New Year's Eve, and major shopping weekends may affect reservations, takeout orders, catering, delivery, and staffing needs. Owners should review prior holiday sales, guest counts, ticket times, and labor costs to build a more realistic schedule before the rush arrives.
3. Watch how weather affects traffic and ordering patterns - Weather can quickly shift restaurant demand. Rain may reduce patio seating but increase delivery orders. Extreme heat may slow lunch traffic but increase beverage sales. Snow, storms, or poor road conditions may reduce dine-in visits and affect employee availability. Labor forecasts should account for weather because it can change both customer demand and operational difficulty.
4. Include local events in the forecast - Concerts, school events, sports games, conferences, fairs, and community festivals can create sudden demand spikes. Even if the restaurant is not directly hosting the event, nearby traffic can increase before or after it. Owners should keep a simple event calendar and compare it with sales history to see which events affect the business most.
5. Account for promotions and limited-time offers - Internal decisions can also change labor needs. Promotions, coupons, new menu launches, happy hour specials, catering orders, and limited-time offers may increase order volume or create more complex prep requirements. A promotion that increases traffic but requires more kitchen time should be reflected in both the sales forecast and labor schedule.
Factoring in seasonality, holidays, weather, and local events helps restaurant owners prepare instead of react. When these variables are included in the labor forecast, schedules become more realistic, employees are better supported, and the restaurant is less likely to be caught off guard during demand changes.
Forecast Labor by Role
A strong labor forecast should not only answer, "How many labor hours do we need?" It should also answer, "Which roles do we need during each part of the day?" Total labor hours can look correct on paper, but the restaurant may still struggle if the wrong positions are scheduled. For example, having enough employees does not help if the kitchen is short on line cooks, the dining room has no host, or delivery orders pile up without enough expo or packaging support.
1. Separate labor needs by department - Restaurant owners should break labor forecasting into clear areas, such as kitchen, front of house, bar, drive-thru, delivery, prep, dish, and management. Each department responds to demand differently. A busy dine-in shift may need more servers and bussers, while a delivery-heavy shift may need more kitchen, packaging, and order-checking support.
2. Match roles to demand drivers - Different roles are affected by different data points. Servers may be forecasted using guest count, table turns, and reservations. Line cooks may be forecasted using item sales, ticket volume, and menu complexity. Cashiers may depend on transaction count, while prep labor may depend on forecasted product usage. This makes the schedule more accurate than using sales dollars alone.
3. Identify bottlenecks by position - If ticket times increase, the issue may not be total labor. It may be a shortage at one station. A restaurant may have enough front-of-house coverage but not enough grill, fry, or expo support. Tracking delays by role helps owners see where labor needs to be adjusted before service quality drops.
4. Consider employee skill level - Two employees in the same role may not produce the same results. A new cook may need more support than an experienced cook. A strong server may handle more tables than someone still training. Labor forecasting should account for productivity, training needs, and cross-training when building the schedule.
5. Review role-based performance after each shift - After the shift, compare scheduled roles against actual results. Look at ticket times, voids, comps, overtime, order accuracy, table wait times, and manager notes. If the same role is repeatedly under pressure, the forecast may need to be adjusted.
Forecasting labor by role helps restaurant owners build schedules that reflect real operational needs. It reduces the risk of having enough people but still being poorly staffed. When each role is planned around demand, the restaurant can improve speed, control labor costs, and give employees a better chance to succeed.
Use Productivity Metrics
Productivity metrics help restaurant owners understand whether labor is being used efficiently. A schedule may look reasonable at first, but the numbers may show that employees are either stretched too thin or scheduled beyond what sales can support. The goal is not to judge labor by cost alone.
1. Track sales per labor hour - Sales per labor hour shows how much revenue the restaurant generates for each hour worked. If this number is too low, the restaurant may be overstaffed during certain periods. If it is too high, employees may be overloaded, service may slow down, and quality may suffer. This metric helps owners find the right balance between labor efficiency and service capacity.
2. Review labor cost percentage - Labor cost percentage compares labor dollars to sales. It is one of the most common scheduling metrics because it shows how much revenue is being used to pay employees. However, owners should not use this number by itself. A low labor percentage may look good, but if ticket times are slow or guests are unhappy, the schedule may be too lean.
3. Measure transactions per labor hour - Transaction volume gives owners a clearer view of workload. A restaurant may have strong sales because of higher menu prices, but employees may not actually be handling more orders. Transactions per labor hour helps show how many checks, tickets, or orders the team is managing compared with scheduled hours.
4. Monitor overtime and early clock-ins - Overtime, early clock-ins, and late clock-outs can reveal gaps in the schedule. If employees consistently stay late, the forecast may be underestimating closing tasks, prep work, or rush periods. If employees clock in early because the shift is already busy, the schedule may need better start-time planning.
5. Compare productivity by day-part and role - A full-day average can hide scheduling problems. Owners should review productivity by breakfast, lunch, dinner, late night, and by position. This can show whether the restaurant is overstaffed during slow afternoons, understaffed during dinner, or short on specific roles such as prep, dish, expo, or line cooks.
Using productivity metrics makes labor forecasting more practical and measurable. Instead of building schedules from habit, restaurant owners can use real performance data to adjust staffing levels, protect margins, and maintain service quality. Over time, these metrics help create schedules that are more accurate, fair, and aligned with actual restaurant demand.
Compare Forecasted Labor to Actual Results
Labor forecasting improves when restaurant owners compare what they expected to happen with what actually happened. A forecast is not something to create once and forget. It should be reviewed after each shift, week, or pay period so managers can learn from the difference between the schedule, sales, labor hours, and real demand.
1. Compare forecasted sales to actual sales - Start by reviewing whether the restaurant's sales forecast was accurate. If the forecast expected $8,000 in sales but the restaurant only produced $6,500, the schedule may have been too heavy. If actual sales were much higher than forecasted, the team may have been understaffed. This comparison helps owners understand whether the issue started with the forecast or the schedule.
2. Review scheduled hours against actual hours - Scheduled hours and actual hours are often different. Employees may clock in early, stay late, miss shifts, take longer breaks, or work overtime. These differences matter because they affect labor cost and productivity. If actual hours are consistently higher than scheduled hours, the restaurant may need better shift planning, stronger clock-in controls, or more realistic task assignments.
3. Measure labor cost after the shift - Restaurant owners should compare projected labor cost to actual labor cost. This includes regular wages, overtime, premiums, and any added labor expenses. A schedule may appear profitable before the shift, but if sales fall short or hours run long, labor cost percentage can rise quickly. Reviewing this data helps managers adjust future schedules before the same problem repeats.
4. Look for repeated forecasting patterns - One inaccurate forecast may be caused by weather, a call-out, or an unusual event. Repeated patterns are more important. If Monday lunches are always overstaffed, Friday dinners are always short, or Sunday closing shifts always run late, the forecast should be updated. Consistent patterns are valuable because they show where the schedule can be improved.
5. Use service results to complete the picture - Labor forecasting should not be judged by cost alone. Owners should also review ticket times, order accuracy, table wait times, guest complaints, voids, comps, and manager notes. A shift with low labor cost may still be a problem if service quality suffered. The best schedule supports both profitability and the guest experience.
Comparing forecasted labor to actual results turns scheduling into a continuous improvement process. Each review helps the restaurant understand where demand was misread, where labor was misallocated, and where staffing plans need adjustment. Over time, this creates more accurate forecasts, stronger schedules, and better control over labor costs.
Use Technology to Improve Labor Forecasting Accuracy
Technology can make labor forecasting more accurate by helping restaurant owners turn daily operating data into better scheduling decisions. Manual forecasting can work, but it often depends on spreadsheets, manager memory, and time-consuming report reviews. When sales, labor, timekeeping, weather, and order data are disconnected, it becomes harder to see what staffing levels are truly needed.
1. Connect scheduling with POS data - POS data gives owners a clearer picture of when sales and transactions happen. Instead of building schedules from broad assumptions, owners can use historical sales by day, hour, day-part, and order channel. This helps managers understand when the restaurant needs more labor and when staffing can be reduced without hurting service.
2. Use timekeeping data to compare planned vs. actual labor - A schedule is only one part of the labor picture. Owners also need to know what actually happened after the shift started. Timekeeping data shows early clock-ins, late clock-outs, overtime, missed breaks, and actual hours worked. When this information is compared with forecasted demand, managers can spot where labor costs are drifting.
3. Include demand drivers in the forecast - Better forecasting tools can account for factors beyond last week's sales. Weather, holidays, school schedules, local events, promotions, delivery volume, catering orders, and seasonal patterns can all affect labor needs. Adding these variables helps owners build schedules that reflect what is likely to happen, not just what happened in the past.
4. Create schedule templates based on demand patterns - Technology can help managers build schedule templates for common demand patterns, such as slow weekdays, busy weekends, holiday periods, or delivery-heavy nights. These templates save time while still allowing managers to adjust for current conditions. The result is a more consistent scheduling process across shifts and locations.
5. Review labor performance in one place - Restaurant owners should be able to see forecasted sales, scheduled hours, actual sales, actual labor, labor cost percentage, overtime, and productivity metrics in one view. This makes it easier to identify whether the schedule was accurate, where labor was misused, and what should change next time.
Better labor forecasting starts with better visibility. Altametrics helps restaurant owners connect sales, labor, scheduling, and operational data so they can make smarter staffing decisions with less guesswork. With the right tools in place, owners can control labor costs, reduce scheduling mistakes, support employees during busy shifts, and improve the guest experience across every location. To learn more about Altametrics, click "Book a Demo" below.