The Restaurant Ops Playbook
The Commissary Trap: Why Central Kitchens Become Cash Graveyards Without Predictive Production
Why Restaurant Software Fails at Complex Recipes: The Multi-Layered Prep Problem Nobody Talks About
The Two-Hour Tax: How Manual Prep Planning Steals Your Best Labor Every Single Day
The Six Month Implementation That Never Ends: Why Restaurant Tech Timelines Keep Slipping
The Bakery Forecasting Problem: Why Bake-to-Order Concepts Need More Than Spreadsheets
From Two Locations to Ten: What Breaks When Your Restaurant Grows Faster Than Your Systems
The 30-Year-Old System Running Your Restaurant Empire: Why Legacy Tech Modernization Cannot Wait
The Growth Paradox: Why Well-Run Restaurants Still Hit an Operations Ceiling
The Integration Trap: When Setting Up Your Tech Stack Takes Longer Than Running Your Restaurant
The Build-It-Yourself Ceiling: Why Homegrown Restaurant Systems Stop Working
The Enterprise Rollout Problem: When Your US Team Is Ready but Your Global Team Is Not
The Labor Equation Nobody Talks About: When Delivery Drivers Eat Your Kitchen Hours
Beyond the Four Walls: Why Stadium and Venue Food Operations Need a Different Playbook
The Hour You Can’t Afford: Why Manual Prep Planning Is Costing More Than You Think
Your Pars Update Quarterly. Your Demand Changes Daily. That Is the Problem.
Three Years of Evaluating, Zero Years of Saving: The Cost of the Cautious Technology Cycle
The Private Equity Growth Mandate and the Technology Gap Nobody Talks About
Your Restaurant Is a Manufacturing Plant. Why Are You Still Running It Like It’s 1985?
The Adoption Problem: Why Most Restaurant Technology Pilots Fail and How to Design One That Won’t
Forecasting and Inventory Management Are Two Different Jobs. Stop Asking One Tool to Do Both.
When Sales Cover Up Everything: The Hidden Inefficiencies Inside High-Volume Restaurants
When Institutional Knowledge Becomes a Liability: The Hidden Risk in Tenured-Run Kitchens
Restaurant Scheduling AI Is Improving. The Complexity Trap for Franchisees Has Not Gone Away.
The Generative AI Arms Race: ChatGPT, LaMDA, FAIR, Ernie, and the future of information.
The explosion of interest in ChatGPT and generative AI has caused major tech companies to rethink and revise their product …
GPT-4: What’s Next for OpenAI
OpenAI has not slowed down its breakneck pace since first debuting its groundbreaking language model chatbot, ChatGPT. The company is …
RTN Start-Up Alley Semi-Final
The Restaurant Technology Network’s (RTN) third annual Start-Up Alley is poised to steal the spotlight once again at Hospitality Technology’s …
11 Sustainable Chicago Eateries
Chicago is known for its world class restaurant scene, but did you know that the city is also home to …
Optimizing Restaurant Preparation: Cutting Costs and Reducing Waste
The 45 Billion Dollar Problem Restaurant preparation has always been a guessing game; one that operations managers have gotten really good …
What are the two components of restaurant forecasting?
This article digs into one specific question. For the full picture of why forecasting matters and how to put it …
9 Sustainable Austin Eateries
Austin is known for its vibrant food scene, and the city offers plenty of great choices for those who are …
ClearCOGS Introduces Chat GPT AI Operations Manager
January 10th, 2023Chat GPT-3 + ClearCOGS As technology continues to advance, data analysis has become an increasingly integral part of successful …
The Technology Behind Chat GPT-3
January 5th, 2023 Chat GPT-3, or Generative Pre-training Transformer 3, is a revolutionary artificial intelligence (AI) technology developed by OpenAI that …
From Landfills to Reuse: Understanding the Zero Waste Movement
January 5th, 2023 What is Zero Waste? Zero Waste is a set of principles that focuses on waste prevention and encourages the …
Predictive PARs: The practical application of Just-In-Time Manufacturing in Restaurants
January 4th, 2023 Just-in-time (JIT) manufacturing is a production model that aims to align the inflow of raw materials with the …
ChatGPT vs. Alexa, Google, and Siri: An AI Showdown
January 3rd, 2023 Artificial intelligence (AI) voice assistants like Siri and Alexa have become a staple in many homes, providing a …
Dry-Aged Fish: A Delicious Addition to Your Restaurant?
January 3rd, 2023 If you’re a restaurant owner looking to add dry-aged fish to your menu, you’re not alone. Dry-aged fish …
From Chatbots to Chat GPT-3: The Evolution of AI Customer Service
January 3rd, 2023 Chatbots Chatbots are computer programs designed to simulate human conversations, enabling communication between a human and a machine through …
AI-powered technology helps sports teams make better use of data
January 3rd, 2022 Gemini Sports Analytics is a startup that helps sports teams make data-driven decisions on athlete acquisition, development, and …
Saving Lives with Machine Learning: The Science Behind the CONCERN AI Early Warning System
January, 3rd, 2023 The COmmunicating Narrative Concerns Entered by Registered Nurses (CONCERN) system is a tool that uses machine learning and …
Using Machine Learning to Predict Hypertension Incidence in a Canadian Population
January, 2nd, 2023 Hypertension is a major global health burden that affects all age groups, causing 8.5 million deaths annually and …
Restaurant Inventory: A Deep Dive
December 30th, 2022 Overview Food inventory management is a way to track and control the amount of inventory a restaurant has on …
