AI and how restaurants use AI to plan menus

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-explorers-business-AI-and-restaurants-using-AI-to-plan-menus-r10a7

1. Why is it a big problem when a restaurant buys too much food?

   1. Customers get too many choices
   2. Food that isn't used goes bad, and wasted food means wasted money
   3. The kitchen runs out of space for new equipment
   4. Employees have to eat the extra food themselves

2. How does AI help restaurants reduce food waste?

   1. AI cooks food faster so nothing goes bad
   2. AI analyzes sales patterns to help predict how much food the restaurant will need
   3. AI replaces chefs so the restaurant needs fewer people
   4. AI freezes all the food automatically

3. A restaurant's AI finds that pasta sells 40% more on rainy days. What's the best thing the restaurant can do with this information?

   1. Serve only pasta
   2. Stock more pasta before rainy weather
   3. Remove pasta from the menu to avoid running out
   4. Ignore it — it's just a coincidence

4. Who decides how a new dish should taste and how to cook it?

   1. AI makes the final recipe decisions
   2. The chef uses their creativity and skill
   3. The data always determines the recipe
   4. Customers vote on recipes through an app

5. What is a 'pattern' in restaurant sales data?

   1. A design on the tablecloths
   2. A repeating trend, like certain dishes always selling more on specific days
   3. A mistake in the data that needs to be fixed
   4. The shape of the restaurant's menu

6. Why might a restaurant with a smaller menu have fresher food?

   1. Smaller menus are cheaper to print
   2. With fewer dishes, the restaurant only buys what it knows will sell, so ingredients don't sit around as long
   3. Smaller menus confuse customers into ordering more
   4. Freshness is the same no matter how big the menu is

7. An ingredient is used in five of the restaurant's most popular dishes. AI notices this and suggests the kitchen should:

   1. Remove that ingredient from some dishes so it's not overused
   2. Keep more of that ingredient on hand since it's needed constantly
   3. Replace that ingredient with something less popular
   4. Wait until the ingredient runs out before ordering more

8. What is 'sales data' at a restaurant?

   1. How many people eat there per year
   2. Records of which dishes were ordered, when, and how often
   3. The prices listed on the menu
   4. A chef's opinion about which dishes are best

9. Why does AI help a restaurant keep customers happier with the menu?

   1. AI writes nicer descriptions for each dish
   2. AI helps identify what customers actually order, so the menu features dishes people want
   3. AI automatically lowers prices for unpopular dishes
   4. AI trains waiters to recommend specific items

10. What does it mean that AI is the 'data brain' and chefs are the 'creative and human brain'?

    1. AI does everything and chefs just watch
    2. AI handles the numbers and patterns while chefs use creativity and skill to make great food
    3. Chefs and AI have identical jobs
    4. AI is smarter than chefs in every way

11. A restaurant notices its AI suggested buying extra shrimp for a holiday weekend — but it turned out no one wanted shrimp that weekend. What does this show?

    1. AI predictions are always perfect
    2. AI makes predictions based on patterns, but those predictions can sometimes be wrong
    3. The restaurant should stop using AI immediately
    4. The AI needed more power to get it right

12. What would happen if a restaurant ignored its sales data and ordered the same amount of every ingredient every week?

    1. It would save time and be more efficient
    2. It would likely waste money on slow-selling items and run short on popular ones
    3. All ingredients would be used equally
    4. Customers would appreciate the consistency

13. Which word means 'things that keep happening the same way over and over'?

    1. Random
    2. Patterns
    3. Accidents
    4. Experiments

14. In a restaurant, which tasks does AI handle well, and which still need humans?

    1. AI handles cooking; humans handle ordering supplies
    2. AI handles data analysis; humans handle cooking, creativity, and tasting
    3. AI handles everything — humans just take orders
    4. Humans handle data; AI handles cooking

15. If AI helps a restaurant waste less food and the menu better matches what customers want, what is the likely result?

    1. The restaurant becomes more expensive
    2. The restaurant saves money and has happier customers
    3. The restaurant needs to hire more people
    4. The menu gets larger and harder to manage