Sapien for Hospitality

Know what makes each location profitable.

Q: What would we connect first?

Start with a question your team needs to answer. For the example above, the relevant inputs include POS checks, Time clock, Purchase invoices. Together, we would agree on the definition of location contribution, map the relevant data, and review the first analysis with your team. The starting scope depends on your systems and data access.

Q: Does Sapien replace our existing tools?

No. Sapien sits on top of your existing systems and connects directly to them. It brings data from your ERP, data warehouse, and spreadsheets into your analysis so you can investigate questions across systems without replacing the tools your business runs on.

Q: How can I verify Sapien’s outputs?

Sapien shows the sources, calculations, and assumptions behind every insight. Your team can inspect supporting records and refine the business logic used on every decision. That gives you a way to validate the answer before acting on it.

Connect sales, labor, and purchasing to see the economics of each location. Give operators clear answers about staffing, costs, and demand.

Sapien / AnalysisIllustrative product example

Why are busier locations contributing less profit?

April → May

More covers added $160k. Overtime and food cost increases exceeded the benefit.

Change in location contribution−$40,000

Location contributionUSD, millions

$1.4MApril

$1.4MMay

April$1.4M

May$1.4M

Explore what changed

Select a driver to explore the calculation.

Food cost: −$80,000

Higher ingredient costs reduced margin across the existing menu mix.

40,000 meals × $2 increase in cost= $80,000 decrease

Source reference

Purchase invoices · Ingredient cost

A next question

Which dayparts account for the extra overtime?

Your business logic, built in

The answer starts with how your business works.

Sapien connects your data and maps the relationships behind it. Your team adds the definitions, rules, and exceptions that make the analysis useful.

Explore the platform

Connected business data

POS checksTime clockPurchase invoices

Shared definition

Location contribution

Sales less food, direct labor, and location expenses. Align shifts and purchases to the same trading day before comparing locations.

Location → RegionShift → DaypartMenu item → Category

The same knowledge informs every analysis.

From the first question to the next decision

More ways to put Sapien to work.

Break down location P&L to labor, food cost, and mix

Decompose sales and margin movement by location, daypart, channel, and item. See whether a miss came from traffic, ticket, labor, or cost—not a blended store average.

Catch food-cost and labor leakage while you can still act

Flag wage, overtime, waste, and recipe-cost spikes at the site level before they bury the week. Quantify the dollar impact so operators and finance work from the same number.

Give shop leaders self-serve answers without a static report

Let operators ask follow-up questions on any span of time instead of waiting on a weekly pack. Finance keeps one logic layer; locations stop running on screenshots.

Model pricing, hours, and menu changes before you commit

Compare labor hours, menu mix, and price changes side by side with full location P&L impact. Know what a change does to margin before it hits the next period.

Frequently asked questions

What would we connect first?

Does Sapien replace our existing tools?

How can I verify Sapien’s outputs?