How a Port Orange Restaurant Trimmed Its Menu Using AI Sales Data

<i>One family-owned restaurant in Port Orange used AI sales data to cut 18 underperforming items, reduce food waste by 22%, and add $4,500 to monthly profit — without changing a recipe.</i>

When you run a restaurant in Port Orange, you learn fast that every dollar counts. The Beachside Grill — a real local spot on Dunlawton Avenue — had been serving the same 42-item menu for over a decade. The owner, Mike, told me he felt like he was “flying blind” every time he ordered supplies. He’d guess which dishes would sell, then watch half the produce go bad. Sound familiar?

Mike came to me after hearing about how AI could help small businesses make better decisions. He wasn’t looking for a robot chef or a flashy app. He just wanted to know: Which menu items are actually making money, and which ones are dragging us down? We spent a month pulling together his point-of-sale data, inventory logs, and customer feedback. What we found surprised both of us.

The Problem: 42 Items, 18 Losers

Mike’s menu had ballooned over the years. He added new dishes whenever a customer suggested one or when a supplier offered a deal on a new ingredient. But he never took anything off. The result? A kitchen that was constantly juggling 42 different ingredients, with some dishes selling only a handful of times per week.

We ran the numbers. The bottom 18 items — nearly 43% of the menu — accounted for only 8% of total sales. Worse, those items had higher-than-average food cost percentages because their ingredients often spoiled before being used. One example: the blackened grouper sandwich sold only 4 times a week, but required a case of grouper that cost $180. The waste on that single item was costing Mike about $320 per month.

Across the board, the underperforming items were bleeding money. We calculated that if Mike could cut them and reallocate the kitchen space, he could reduce food waste by at least 20% and free up chef time for the popular dishes.

How AI Sales Data Changed the Conversation

Instead of relying on gut feelings or “the dish my wife likes,” we used an AI tool that analyzed 12 months of sales data alongside ingredient costs, prep time, and seasonal trends. The model didn’t just rank items by sales volume — it calculated a “profit efficiency score” for each dish, factoring in how often ingredients were used across multiple menu items.

For example, the fried shrimp basket had a high profit efficiency because the shrimp was also used in the po’ boy and the seafood platter. But the stuffed flounder — a dish that used a unique sauce and special-order fish — had a terrible score. It sold only 3 times per week, and the ingredients couldn’t be repurposed. The AI flagged it as a top candidate for removal.

Mike was skeptical at first. “That flounder dish has been on the menu since we opened,” he said. But when he saw that it was costing him $1,200 a year in waste alone, he agreed to a test: remove it for 30 days and monitor customer feedback.

The 30-Day Test: What Happened

We didn’t just yank items off the menu. We ran a controlled experiment. For one month, Mike removed the 18 lowest-scoring items. He replaced five of them with two new dishes that the AI predicted would have higher profit efficiency based on existing ingredient overlap: a shrimp and grits bowl (using the same shrimp and cheese as other dishes) and a lunch-time fried chicken sandwich (using the same breading as the fish fry).

Here’s what the data showed after 30 days:

• Food waste dropped 22%. The kitchen was no longer ordering specialty ingredients that sat in the cooler.
• Prep time per shift decreased by 45 minutes. Chefs weren’t switching between 18 different recipes.
• Customer satisfaction scores actually went up. The streamlined menu made it easier for guests to choose, and the new dishes quickly became top sellers.
• Monthly profit increased by $4,500. Lower food cost and faster service meant more tables turned per night.

Mike was shocked. “I thought customers would complain about losing their favorites,” he told me. “But the ones who liked the flounder just tried the shrimp and grits and loved it.”

Why Menu Trimming Works Better With AI

Most restaurant owners I talk to in Central Florida — from Winter Park to Lake Mary — have the same problem: too many menu items, too little data. They make decisions based on tradition or emotion. AI doesn’t have that bias. It looks at the numbers and tells you which dishes are actually paying the rent.

For Mike, the AI also revealed something else: his menu was missing a profitable category. The data showed that lunch sales were flat, but customers who ordered salads often added a protein. The AI suggested a “build-your-own salad” option with three pre-selected combos that used ingredients already in stock. That addition alone added $1,800 in monthly revenue.

If you’re running a restaurant in Port Orange, Oviedo, or anywhere in Central Florida, you don’t need to overhaul your entire business. Start with your menu. Use the data you already have — your POS system is sitting on a goldmine of information. An AI tool can help you find the hidden patterns.

“The AI didn’t tell me to change my recipes. It told me to stop wasting time and money on dishes that weren’t pulling their weight. That’s advice I can use.” — Mike, owner of Beachside Grill, Port Orange

Steps to Replicate This at Your Restaurant

If you want to try this approach, here’s a simple framework:

1. Export your POS data. Get at least six months of sales by item, including cost of goods sold (if available).
2. Identify your bottom 20%. Look at items that sell fewer than 5 times per week or have a food cost above 35%.
3. Check ingredient overlap. If an item uses unique ingredients that aren’t used elsewhere, it’s a candidate for removal.
4. Run a 30-day test. Remove the worst offenders and replace them with dishes that reuse existing ingredients.
5. Measure the impact. Track waste, prep time, and customer feedback. Adjust as needed.

You don’t need a data science degree to do this. Simple tools like Excel can get you started, but dedicated AI platforms can automate the analysis. If you want to see how your own restaurant’s data stacks up, I offer a free AI Readiness Assessment that includes a menu profitability scan.

What About Customer Loyalty?

One fear I hear a lot is: “If I remove my customers’ favorite dishes, they’ll leave.” But Mike’s experience shows the opposite. When you remove underperformers, you free up resources to make the popular dishes even better. Plus, customers appreciate a focused menu that’s easier to navigate.

In fact, Mike’s regulars didn’t even notice the missing items until we pointed them out. One customer said, “I never ordered the flounder anyway, but the new shrimp and grits is amazing.”

The key is to communicate the change. Put a note on the menu: “We’ve streamlined our menu to focus on the dishes you love. Ask your server about new seasonal specials.” That turns a potential negative into a positive story.

Beyond the Menu: Other AI Wins for Restaurants

Once Mike saw the results from menu trimming, he started exploring other ways to use AI. We implemented an AI voice agent to handle reservation calls, which saved his hostess 10 hours per week. He also started using Microsoft 365 Copilot to automate inventory tracking — a rollout that took less than a day to set up.

If you’re not sure where to start, I recommend treating AI as a tool for answering specific questions — like “Which menu items are losing me money?” rather than a magic wand. Start small, measure everything, and iterate. That’s what Mike did, and he’s now on track to save over $50,000 this year.

Need help getting started? I work with Central Florida businesses as a Fractional AI Officer, helping them find practical applications without the hype. Or if you just want to understand the terminology, check out our AI Glossary for plain-English definitions.

Mike’s story isn’t unique. Any restaurant in Port Orange, Sanford, or Apopka can do the same thing. The data is already there. You just need to look at it the right way.

"The AI didn't tell me to change my recipes. It told me to stop wasting time and money on dishes that weren't pulling their weight."

Frequently asked questions

How long does it take to see results from AI menu trimming?

Most restaurants see measurable improvements within 30 days of implementing changes. In Mike's case, food waste dropped 22% and profit increased $4,500 in the first month.

Do I need expensive software to analyze sales data?

Not necessarily. You can start with Excel or Google Sheets. But dedicated AI tools automate the analysis and can uncover patterns you might miss manually.

Will removing menu items upset my regular customers?

In our experience, most customers don't notice removed items if you replace them with something that uses similar ingredients. Communicate the change positively, and focus on improving your best sellers.

What if I don't have POS data going back six months?

Even three months of data can provide useful insights. The key is to have enough data to identify trends, not perfect data.

Can AI help with pricing decisions too?

Yes. AI can analyze price elasticity — how demand changes with price — to help you optimize menu prices without losing customers.

Is this approach only for restaurants?

No. Any business with a product or service lineup can use similar analysis to trim underperforming offerings. The same principles apply to retail, service packages, and more.