ClearCOGS Blog

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Blog
You Know You Have a Waste Problem. You Just Can’t See It Yet.
May 28

By Matt Wampler, CEO of ClearCOGS For breakfast and beverage concepts, food waste hides in small prep decisions: over-prepped proteins, leftover …

Blog
The Commissary Complexity Problem: Why Bakeries With Multiple Revenue Channels Need a Different Kind of Forecast
May 27

By Matt Wampler, CEO of ClearCOGS The economics of a well-run bakery look different from most restaurant concepts. A scratch-made bread …

Blog
The Bakery Scaling Problem Nobody Talks About: When Your Best Instincts Stop Working
May 26

By Matt Wampler, CEO of ClearCOGS Opening a great bakery is hard. Scaling a great bakery is a different kind of …

Blog
When Your Prep Sheet Is a Spreadsheet, You’re Already Behind
May 22

By Matt Wampler, CEO of ClearCOGS For multi-unit operators running protein-heavy menus, every prep decision carries a shelf life penalty. Proteins …

Blog
Why Data Chaos Blocks Restaurant Operators From Getting Smarter
May 21

By Matt Wampler, CEO of ClearCOGS According to a 2025 Toast survey of restaurant operators, 41% say they are extremely likely …

Blog
Why the Hardest Part of Restaurant AI Isn’t the Technology. It’s the Rollout.
May 19

There’s a conversation that happens at nearly every enterprise restaurant brand exploring AI forecasting, and it usually sounds something like …

Blog
7 Restaurant Labor Problems Costing You Money Right Now — And How to Fix Them
Apr 28

Labor and food costs together represent more than half of a restaurant’s revenue. Get them right, and your margins survive. …

Blog
Your Restaurant Managers Are Stuck in the Back Office. AI Can Fix That.
Apr 23

Restaurant labor management is the process of scheduling, deploying, and optimizing staff so that the right people are in the …

Blog
25 Restaurant Cost-Cutting Strategies That Actually Work in 2026
Apr 16 8 min

Restaurant cost-cutting strategies are specific operational and financial changes that reduce unnecessary expenses without sacrificing food quality or guest experience. …

Blog
Can You Really Just “Build” Restaurant AI In-House? Here’s What Operators Need to Know Before They Try
Mar 26

Human-led AI in restaurant operations means pairing artificial intelligence tools with experienced operators who know how to configure, interpret, and …

Blog
Why Operator-Built Spreadsheets Always Break (And What To Do Instead)
Mar 16

A bagel operator we work with recently wrote something that stopped us in our tracks.He’d spent a month building a …

Blog
What is Demand Forecasting for Restaurants?
Mar 11

Demand forecasting for restaurants is the practice of predicting customer volume, menu item sales, and ingredient needs before each shift …

Blog
How AI Helps Multi-Unit Restaurants Reduce Food Waste
Mar 04

Food waste in restaurants isn’t just a sustainability issue, it’s a profit problem. For multi-unit operators, overordering, over-prepping, and poor …

Blog
What is Restaurant Forecasting Software?
Feb 27

Restaurant forecasting software is a technology platform that analyzes historical sales data, local events, weather, and operational patterns to predict …

Blog
AI for Restaurants Isn’t a Myth. You’re Just Buying It From the Wrong People
Feb 17

Real AI doesn’t live in a sales deck. It lives in your prep sheet, your labor schedule, and your bottom …

Blog
Your POS Shows What Happened. Your Predictions Show What Might. Neither Tells You What to Do.
Feb 11

Every restaurant generates mountains of data. Sales reports, inventory logs, labor spreadsheets, waste tracking sheets. But there is a massive …

Blog
Why You Prep Like a Champion on Super Bowl Sunday But Guess Every Other Day
Feb 03

Every restaurant operator knows the feeling. Super Bowl Sunday is coming, and the pressure is on. Will you have enough wings? …

Blog
The Collapse of Guest Tolerance: Why Restaurants Must Design for Certainty in 2026
Jan 28

The Silent Shift Reshaping Restaurant Success Restaurant operators are navigating inflation, labor challenges, and evolving consumer behavior. But the most critical …

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