Open Grocery Store Simulator Read the strategy guide Browse all worksheets

Direct classroom scenario launch codes

Launch a matched grocery scenario with one click

Teachers and students can start all devices on the exact same baseline parameters using these direct scenario URLs:

🛒 Community Corner Grocer (Standard) 🏷️ Suburban Value Foods (Standard) 🥦 Affluent Organic Market (Standard) ⚡ Transit Express Mart (Easy) 📉 Turnaround Fresh Market (Hard)

Printable student investigation and teacher guide

Grocery Store Simulator Worksheet

Q: Which grocery decision should students test first?

A useful first test changes one reversible decision such as supplier, freshness investment, checkout staffing, price strategy, or product mix while holding the store, location, challenge, observation period, and other major settings stable.

Q: How should students calculate grocery store profit?

For one consistent period, subtract inventory cost, shrink cost, payroll, rent, utilities, marketing, and promotion costs from sales revenue. Students should use the simulator profit report when some component values are not separately visible.

Q: Is the lowest shrink result always the best result?

No. Very low shrink can accompany understocked shelves and lost sales. Students should judge shrink alongside shelf availability, freshness, customers served, satisfaction, contribution, cash, and profit.

Q: Does the simulator give real grocery business advice?

No. It is a simplified educational model with fictional results. Real grocery decisions require local food-safety, employment, accessibility, consumer-protection, zoning, tax, licensing, privacy, and supplier requirements plus current professional evidence.

Plan a fair grocery experiment, calculate inventory and customer economics, compare a baseline with one operating change, and defend a recommendation using financial, shelf, service, and customer evidence.

Name:

Date:

Team role:

Store format and location:

1. Frame one useful grocery investigation

Begin with a decision question rather than “How can I make more money?” A useful question names one input and the connected results it may change. Example: How does switching from a balanced supplier to fast replenishment affect shelf availability, freshness, inventory cost, lost customers, and monthly profit?

My investigation question:

Why this question matters to the store:

Choose one main decision to test:

☐ Price strategy ☐ Product mix ☐ Freshness investment ☐ Supplier strategy ☐ Checkout staffing or model ☐ Restocking coverage ☐ Promotion ☐ Average basket target

2. Plan a controlled baseline, test, and repeat

Use the same challenge, city, location, store format, and observation period. Record a baseline before making the test change. Change only the independent variable and hold other major settings steady. Run a repeat when an event, random demand swing, or accidental second change makes the comparison uncertain.

Independent variable—the one setting I will change:

Controlled variables—the settings I will keep stable:

Baseline setting and stopping point:

Test setting and matching stopping point:

Prediction: If I change __________ from __________ to __________, then __________ will change because:

Guardrail: I will reject the change even if profit rises when it creates this unacceptable shelf, freshness, wait, customer, cash, or staffing result:

3. Calculate the connected grocery measures

Use values from one consistent day or month and write the units. The simulator includes random events and rounded display values, so use the reported profit when a hidden or rounded component prevents an exact reconstruction.

Customer conversion rate = customers served ÷ foot traffic × 100. This shows the share of visitors who completed a purchase.

Sales revenue = customers served × average basket. A larger basket helps only when customers can find products and complete checkout.

Gross contribution before operating costs = sales revenue − inventory cost − shrink cost. Payroll, rent, utilities, marketing, and promotion costs still remain.

Operating profit = revenue − inventory cost − shrink cost − payroll − rent − utilities − marketing and promotion costs.

Shrink rate = shrink cost ÷ sales revenue × 100 when both values use the same period. The dashboard may also report a modeled shrink percentage directly.

Foot traffic:

Customers served:

Average basket:

Sales revenue:

Conversion calculation:

Inventory cost:

Shrink cost or rate:

Contribution:

Reasonableness check: Is customers served less than or equal to foot traffic? ☐ Yes ☐ No. Is contribution lower than or equal to revenue? ☐ Yes ☐ No. If not, recheck the formula, period, and signs.

4. Record baseline, test, and repeat evidence

Copy results at the same stopping point. Do not select only the strongest day. A complete month is preferable when time allows because it captures operating costs and several demand conditions.

Run	Main setting	Customers / traffic	Average basket	Shelf availability	Freshness	Checkout wait	Shrink	Satisfaction / review	Revenue	Profit / cash
Baseline
Test
Repeat

Profit difference, test minus baseline:

Availability difference:

Shrink difference:

Customers-served difference:

5. Diagnose the operating pattern

Check the closest pattern and support it with the table. More than one can apply.

Traffic rose but customers served did not: shelf availability or checkout capacity may be preventing visitors from completing purchases.
Availability improved but profit fell: inventory, supplier, restocking, or deep-restock cost may exceed the added contribution, or more goods may be exposed to shrink.
Shrink fell while lost customers rose: inventory may have been cut too far. Less waste is not an improvement when stockouts remove profitable sales.
Revenue rose but profit fell: lower margin, higher inventory cost, payroll, shrink, promotion, or marketing may have absorbed the extra sales.
Freshness improved but the result was mixed: check whether satisfaction and demand had enough time to respond and whether the supplier or investment cost was affordable.
Checkout wait improved but payroll share rose: added labor may be useful only when the faster service retains enough profitable customers.
The repeat contradicted the first test: an event, demand variation, or an uncontrolled second setting may be influencing the result. Narrow the claim and repeat.

Which pattern best explains my result, and which numbers support it?

What evidence would make me reject this explanation?

Claim: Which setting should the simulated grocery store use next?

Evidence: Cite at least three numbers, including profit or contribution, one inventory measure, and one service or customer measure.

Reasoning: Explain the path from the changed setting through traffic, shelves, freshness, checkout, basket, cost, and the final result.

Tradeoff and uncertainty: What became worse, what remains unknown, and which model assumption limits the claim?

Next controlled test: Name one new question without changing it during the current comparison.

7. Use a stop rule before expanding demand or capacity

A promotion, higher marketing budget, new checkout lane, or deep restock can make the dashboard look busier while consuming cash. Write a rule before acting. Example: I will not add a lane until wait time is repeatedly high, staffed lanes are the demonstrated constraint, the retained customers have positive contribution, and cash remains above my reserve after the purchase.

☐ Shelf availability is stable enough for more demand. ☐ Freshness is not being protected by unsustainable spending. ☐ Checkout coverage is the measured constraint. ☐ Customer contribution is positive. ☐ Monthly profit is repeatable, not one lucky result. ☐ Cash remains above the planned reserve.

My expansion or correction stop rule:

8. Teacher guide: a 50-minute investigation

Launch—5 minutes: ask why full shelves, low prices, and heavy traffic can each coexist with weak profit. Establish that no single metric is the goal.
Baseline—10 minutes: pairs choose the same challenge and a manageable store. They record the settings, run to a shared stopping point, and calculate conversion and revenue.
Controlled test—12 minutes: each pair changes one assigned lever: supplier, freshness, price, product mix, checkout coverage, or promotion.
Repeat and diagnose—8 minutes: repeat when possible, then select a result pattern and trace the cause through at least three measures.
Recommendation—10 minutes: students write a claim with financial, inventory, and customer/service evidence plus one tradeoff.
Debrief—5 minutes: compare different levers without claiming that unlike stores or time periods prove one universal best strategy.

Shorter and accessible routes

For 25 minutes, provide a baseline screenshot or saved values and require only one test, one calculation, and a four-sentence recommendation. For a projected-device lesson, let the class vote on one change while individuals complete separate evidence sheets. Permit typed, handwritten, oral, or teacher-scribed responses when they demonstrate the same reasoning. Describe charts and color signals aloud, read exact numbers, and do not grade clicking speed.

9. Quick 12-point rubric

Criterion	3—Strong	2—Developing	1—Beginning	0—Missing
Experiment design	One clear variable, matched period, explicit controls and guardrail.	Main variable is clear; one control or period detail is weak.	Several settings change or the comparison is uneven.	No usable comparison.
Calculations and evidence	Accurate units and at least three connected financial, inventory, and customer measures.	Mostly accurate with one gap or weak connection.	Limited evidence or major calculation errors.	No numeric evidence.
Diagnosis and reasoning	Explains a plausible operating path and distinguishes revenue from profit.	Reasoning is plausible but incomplete.	Names a result without explaining the path.	No diagnosis.
Recommendation and limits	Bounded claim, tradeoff, uncertainty, stop rule, and next test.	Useful recommendation with one missing limit.	Overgeneralized recommendation with little qualification.	No recommendation.

10. Real-world and responsible-use boundaries

This activity uses fictional money, simplified demand, modeled staff, and random events. It does not represent a specific neighborhood, supplier, workforce, or legal jurisdiction. Do not use simulated outcomes to set real prices, staffing levels, food-handling practices, employment decisions, advertising claims, credit, or investment.

Real grocery operators must verify food safety and cold-chain rules, allergen and labeling requirements, product recalls, supplier contracts, employment and accessibility law, consumer protection, licensing, zoning, tax, privacy, security, waste handling, and environmental obligations. Marketing should be truthful and should never target people deceptively or encourage invalid advertising interactions. Classroom comparisons should evaluate decisions and evidence—not stereotypes about workers, customers, income, culture, location, disability, or family structure. Do not enter personal information into names, save files, or share summaries.

Grocery Store Simulator worksheet FAQ

How long does the Grocery Store Simulator worksheet take?

The full investigation fits a 50-minute class when the teacher provides a saved baseline or allows faster simulated days. A 25-minute version can use one baseline and one test with a brief recommendation.

Which grocery decision should students test first?

Start with one reversible choice such as supplier, freshness investment, checkout staffing, price strategy, or product mix. Hold the store, location, challenge, period, and other major settings stable.

How should students calculate grocery store profit?

For one period, subtract inventory, shrink, payroll, rent, utilities, marketing, and promotion costs from sales revenue. Use the simulator report when some components are not separately visible.

Is the lowest shrink result always the best result?

No. Low shrink can accompany understocked shelves and lost sales. Judge it with availability, freshness, customers served, satisfaction, contribution, cash, and profit.

Does the simulator give real grocery business advice?

No. It is a simplified educational model. Real decisions require current local rules, professional evidence, and the conditions of the actual store and community.