See what’s coming. Run what’s next.

Turn available sales history, daypart patterns, promotions, local conditions, and manager insight into clearer restaurant sales forecasting software plans for staffing, inventory, purchasing, prep, and every location.

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Restaurant locations supported

0M+

Hourly workers supported

0+ yrs

In restaurant technology

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Human-driven support

Trusted by 100,000+ restaurant professionals across the globe

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Every restaurant tells

a different demand story.

Connect available sales history, daypart patterns, promotions, seasonality, calendar information, and relevant local conditions to understand restaurant forecasting.

Historical sales Available POS and transaction patterns
Daypart patterns Lunch, dinner, and hourly demand
Location context Store-specific operating patterns
Learning
14+ signals
Promotions & LTOs Known campaigns and menu activity
Seasonality Recurring weekly and seasonal trends
External conditions Events and calendars when available

Managers can add operational context that historical data alone may not capture.

Forecast inputs should reflect the data available in each implementation of restaurant forecasting software.

From demand signal

to restaurant action.

Connect the decisions operators make before service, during the shift, and after actual results come in.

01 · Anticipate

See demand forming

Review available sales history, dayparts, promotions, location patterns, and operational context for demand forecasting.

Friday dinner demand is trending upward.
02 · Schedule

Plan the right coverage

Use anticipated demand to inform staffing requirements, shift coverage, and labor forecasting discussions.

Review closing coverage before publishing.
03 · Stock

Prepare inventory and purchasing

Connect sales outlook, recipes, inventory availability, and inventory forecasting software to upcoming needs.

Chicken demand may exceed current coverage.
04 · Prepare

Align prep with the shift

Help kitchen teams understand anticipated daypart volume and relevant product mix for AI demand forecasting.

Review prep quantities before the rush.
05 · Monitor

Compare plan with reality

Review restaurant sales forecast versus actual sales and connected operational signals when available.

Lunch sales are tracking above the outlook.
06 · Adapt

Respond while it matters

Managers assess changing conditions and determine whether staffing, prep, or inventory plans need adjustment with workforce demand forecasting.

Consider moving coverage into dinner.
07 · Compare

See patterns across locations

Surface store-level exceptions, location trends, and opportunities for district-level review using demand planning tools.

Three restaurants show the same demand shift.
08 · Improve

Inform the next forecast

Use available operating results and manager insight to support better future AI-powered demand forecasting.

Review the promotion's impact next week.

One demand outlook.

Six better operating decisions.

Every prediction is a business outcome not a chart to admire, but a number you can staff, order, and budget against.

Sales and daypart demand

Review anticipated sales patterns by day, operating period, and location using sales forecasting tools to support upcoming plans.

Guest and traffic planning

Use available demand patterns to understand when the restaurant may need additional operational attention with AI for restaurants.

Scheduling and labor

Connect anticipated demand with staffing coverage, shift planning, and manager-reviewed labor decisions using AI scheduling software.

Inventory and ingredients

Review forecast demand alongside available inventory, recipes, and restaurant food cost software.

Purchasing and supplier timing

Inform suggested ordering decisions using demand outlook, available stock, and delivery considerations with demand planning software.

Prep and restaurant execution

Give restaurant teams better context about expected volume, product mix, and upcoming service periods using AI inventory management software.

Background Shape

An engine that turns available signals into actionable context.

Altametrics connects relevant restaurant data to help teams understand projected demand, review what may be influencing it, and make more informed operational decisions with restaurant AI software.

Why is Friday dinner demand projected to increase?

Recent Friday sales have been trending upward, the location has a known weekend promotion, and comparable dinner periods show stronger demand. Review employee coverage, current chicken inventory, prep requirements, and the next delivery before adjusting the plan.

  • Historical Fridays
  • Daypart trend
  • Active promotion
  • Location context
  • Inventory availability
  • Manager approval

The intelligence layer

connects the restaurant.

Demand forecast

The operating outlook

Scheduling

Staff to demand

Inventory

Stock to plan

Purchasing

Review upcoming needs

Prep and execution

Prepare for service

Illustrative planning scenario

Ask “what if?” before the shift starts.

Explore how changes in demand assumptions could influence sales, guest volume, staffing, and manager planning.

Projected hourly sales — Friday

93% confidence
Forecast sales
$17433
Expected covers
607
Labor needed
91 hrs
Suggested staff
18

Scenario controls

Adjust the signals for this Friday at Downtown.

Clear ☀️
Minor
Weekend

Turn tomorrow’s forecast

into today’s plan.

Give managers a clearer view of projected demand, staffing considerations, and inventory signals before the next service period begins.

Daily, weekly, and daypart demand context
Promotion and location-specific operating signals
Staffing, inventory, and prep considerations
Manager review of operational recommendations

Forecast locally.

See the whole operation.

Help restaurant managers, district leaders, purchasing teams, and enterprise operators understand demand across locations with workforce forecasting.

Restaurant-level planning

Review location-specific sales patterns, dayparts, staffing considerations, and available inventory context.

District and regional oversight

Identify stores where demand is changing, operating plans may need review, or actual results differ from expectations.

Promotions and LTO visibility

Consider how planned campaigns and menu changes could influence forecast demand, labor, ingredients, and prep.

Franchise and enterprise insight

Give operators a more connected view of demand and planning considerations across included restaurants with labor forecasting software.

Outcomes operators

actually care about.

Clearer

Demand and sales visibility

Smarter

Staffing and coverage decisions

Earlier

Inventory and prep awareness

Connected

Planning across every location

Operators run on it.

Here's what changed.

The restaurant software is user-friendly and it's something that anyone from an inexperienced to experienced restaurant manager can understand.

Before we used a spreadsheet where we have to type out manually, now with Altametrics we have a better approach to forecasting, scheduling hours, deployment of labor, who's taking a break when, and effective cross-training.

Since we started using Altametrics, we have been able to get our labor deployment and labor forecasting much more accurate than any prior systems that we've used.

The ability to go in and do food management on a weekly basis, do all of our receiving within that system, also for it to forecast orders out is really starting to make the analytics and insight into how we better control our costs just improve ten fold.

The food management products are an integral part of how we operate our business. So it's not just restaurant software, it is part of our culture.

Food safety with Altametrics has become much easier which means we can devote more time to helping our guests and seeing their smiles on their faces.

My Hong Kong team can opt to see all their business intelligence reporting in US dollars and that reporting is done on the fly to make it very valuable for the team in that market.

What Altametrics business intelligence is doing for my operators is telling them where they need to put most of their attention. So to me, that is a tool that doesn't exist anywhere else. Everyone should use it.

As a franchise company, we need to know what all the sales are in our stores so Altametrics Business Intelligence was able to develop a system that could get that information for us.

The ability to go in and do the inventory on a weekly basis and do all of our receiving within that system. Also for it to forecast orders out is really starting to make the analytics and the insight into how we better control our cost just improve tenfold.

Sales forecasting has improved greatly since implementing eRestaurant it is much more consistent. It takes the guesswork basically out of evaluation in forecasting. It populates basically four past weeks and does the math for you and kind of gives you an average to where you can forecast for each day.

We already use Altametrics enterprise so when we heard about zip clock, we had to try it out.

Frequently

Asked Questions

Everything you need to know about the Altametrics platform and our enterprise restaurant management software.

What makes Altametrics forecasting different from a sales report?

Altametrics restaurant sales forecasting software connects demand forecasting with the restaurant decisions that follow, including scheduling, labor planning, inventory, purchasing, prep, and multi-location visibility. The goal is to help operators understand what the projected demand may mean for the business.

What information can influence a restaurant demand forecast?

Forecasting can incorporate available historical sales, transaction patterns, dayparts, seasonality, promotions, location-specific information, and other relevant operating context. External signals such as weather, events, or calendars depend on available integrations and the customer implementation.

How does forecasting support labor scheduling?

Anticipated sales and operating volume can provide useful context for reviewing shift coverage, employee scheduling, daypart staffing, and manager decisions about labor requirements through labor forecasting. Final staffing decisions remain with the restaurant team.

How does forecasting connect to inventory and purchasing?

Restaurant teams can review projected demand alongside available inventory, recipes, current on-hand quantities, and supplier timing to better understand upcoming ingredient and purchasing needs with inventory forecasting software. Available connections depend on the selected products and configuration.

How accurate are the forecasts?

Forecast performance varies by restaurant, available historical data, local operating patterns, product configuration, and the quality of connected information. AI demand forecasting software can be reviewed against actual results to evaluate performance using their own results.

Can managers provide operational context or adjust plans?

Managers remain central to reviewing forecasts and interpreting operational circumstances such as promotions, unexpected demand changes, staffing constraints, or inventory limitations with AI workforce management software. Specific adjustment and override capabilities depend on the implementation.

Does Altametrics support franchise groups and enterprise brands?

Yes. Altametrics supports restaurant organizations ranging from individual locations to multi-unit, franchise, and enterprise operations, with forecasting and operational visibility based on the locations, products, and configuration included in each implementation.

Is the interactive scenario planner an actual product feature?

The scenario on this page is an illustrative experience that demonstrates how changing demand assumptions might affect planning. Actual scenario-planning features and available data sources should be confirmed with the Altametrics team.