ClearCOGS Blog

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Blog
The Hardest Part of Adopting Restaurant Tech Is Getting Your Team to Use It
Jun 03

By Matt Wampler, CEO of ClearCOGS The hardest part of adopting restaurant technology isn’t choosing the software or finishing the implementation …

Blog
The Bakery Operator’s Tightrope: Managing Zero-Carry-Over Production at Scale
Jun 03

By Matt Wampler, CEO of ClearCOGS Most restaurants can absorb a bad prep day. You over-produce on Tuesday, and the proteins …

Blog
Why Multi-Concept Operators Spend More Time Finding Data Than Using It
Jun 03

By Matt Wampler, CEO of ClearCOGS Most operational reporting discussions in restaurants focus on what the data shows. Whether food cost …

Blog
The Gap That Pays: How Predictive Technology Is Turning Actual vs. Theoretical Food Cost Into a Daily Operating Metric
Jun 02

By Matt Wampler, CEO of ClearCOGS For most restaurant operators, actual versus theoretical food cost has been a monthly ritual: close …

Blog
Why Par Levels Fail Your Restaurant on the Days That Matter Most
Jun 02

By Matt Wampler, CEO of ClearCOGS Par levels help restaurants control inventory, but they are built on a fundamental flaw: every …

Blog
The Prep Sheet Nobody Follows: Why Trust Is the Real Problem with Franchise Forecasting
Jun 01

By Matt Wampler, CEO of ClearCOGS Walk into most franchise locations and you’ll find a prep sheet. It might be printed …

Blog
The Visibility Problem: Why Multi-Unit Operators Are Flying Blind Between Locations
May 29

By Matt Wampler, CEO of ClearCOGS There’s a specific kind of uncertainty that multi-unit restaurant operators describe when they talk about …

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 …

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