Founder Background

Cody Norton has spent nearly two decades operating at the intersection of pricing, margin management, and commercial strategy in the U.S. protein industry. His career spans the full arc of beef processing — from kill-floor economics to retail key account management — and that operational depth is the foundation on which ClearCut was built.

Experience in Beef & Protein Markets

Cody has worked inside some of the largest packers in the industry, spending time at JBS and Tyson Foods, while also holding senior roles at smaller, independent operations. That range — from billion-dollar enterprises to mid-market processors — gives him an expansive understanding of how each type of organization fits in the marketplace, where their margin vulnerabilities lie, and what analytical tools actually get used in day-to-day decision-making.

His roles have spanned pricing, sales leadership, margin management, customer development, and operations. Along the way, he has consistently delivered measurable results:

  • Built price forecasting models using publicly available USDA data, futures curves, and seasonal analysis that improved out-front sales variance by +$0.09/lb — generating over $100 million in incremental revenue
  • Led a Case Ready division to a 1.3 percentage point improvement in profitability — a meaningful shift in a business where margins are measured in fractions of a percent
  • Managed one of the highest-volume retail case ready beef accounts in the country, increasing pounds sold by 5.5% through primal yield optimization and disciplined promotional planning
  • Built full supply chain financial models from the ground up — price and profitability forecasting, hedging risk analysis, and carcass optimization frameworks connecting procurement to downstream margin outcomes
  • Led facility renovation and automation projects while reducing annualized workforce turnover from 121% to 47% — because labor instability destroys yield, and yield is margin
  • Directed gross profit margin analysis, competitive benchmarking, and KPI development across multi-facility operations

Across every one of these environments, the pattern was the same: quantify the margin leakage, build the analytical infrastructure to close the gap, and operationalize it into daily decision-making. ClearCut was built entirely on publicly available market data — USDA reports, CME futures, BLS indices — not on any proprietary or confidential information from any employer.

Why ClearCut Was Built

The forecasting models inside ClearCut were born inside real packing environments. After years of building proprietary pricing and margin tools for some of the largest beef processors in the country, Cody recognized that the broader wholesale protein market lacked access to institutional-grade quantitative forecasting. The tools existed — but they lived inside corporate pricing departments, locked behind proprietary systems and tribal knowledge. Mid-market packers, independent distributors, foodservice buyers, and retail procurement teams were making six- and seven-figure purchasing decisions based on gut instinct, outdated spreadsheets, or a single broker's opinion.

ClearCut was designed to democratize that capability. The same analytical rigor that drives pricing decisions at the top of the industry — multi-variable regression, seasonal decomposition, futures basis modeling, supply-demand balance analysis — is now available to any organization that buys or sells wholesale protein. No data science team required.

Retail, Foodservice & Processing Expertise

Cody's experience spans the full commercial spectrum of the protein industry. On the retail side, he has managed key account relationships with Walmart and other national retailers, negotiating programs that require granular demand forecasting, promotional planning, and yield optimization. In foodservice, he has worked with broadline distributors and regional operators where order patterns are volatile and margin tolerance is thin. On the processing side, he has run case ready operations, managed whole-carcass optimization programs, and built value-added manufacturing strategies that convert low-value primals into margin-positive products. This breadth is what makes ClearCut different from purely academic forecasting tools — every model is informed by the reality of how protein actually moves through the supply chain.

Education

Master of Agribusiness, Texas A&M University — Cum Laude, 2012. The MAB program at Texas A&M combines agricultural economics with the Mays Business School curriculum, emphasizing the application of economic analysis and quantitative methods to agribusiness decision-making. The program's focus on regression analysis, risk modeling, and applied econometrics provided the formal analytical framework that Cody would spend the next decade deploying in commercial environments.

B.S. in Agriculture Business, University of Tennessee at Martin — Cum Laude, 2010. Cody's undergraduate work in agricultural economics established the foundation in commodity markets, farm-level economics, and supply chain dynamics that would inform his entire career. His technical skill set includes regression analysis (SAS, Excel, Simetar), quantitative forecasting, and risk management analysis.

Industry Leadership

Beyond his corporate roles, Cody has been an active voice in the beef industry. He served as Chairman of the NCBA Young Cattleman's Conference (2015–2016), where he helped shape programming that connected emerging industry leaders with the commercial and policy challenges facing the U.S. cattle sector. He is a former Tennessee FFA Association State Officer, an Eagle Scout, and the author of an industry newsletter covering beef market dynamics, seasonal pricing patterns, and forward curve analysis. His writing reflects the same analytical clarity that drives ClearCut: data first, narrative second, always tied to a decision.

Philosophy: Data + Discipline + Margin Governance

ClearCut exists at the intersection of two things that rarely coexist in the protein industry: rigorous quantitative analysis and deep operational experience. Most forecasting tools are built by technologists who have never stood on a fabrication floor. Most packing-house operators have never built a regression model. ClearCut bridges that gap.

The philosophy is simple: margin governance is a discipline, not a spreadsheet exercise. It requires transparent data, repeatable methodology, and the institutional courage to make pricing decisions based on what the numbers say rather than what the market feels like. Every feature in ClearCut — from the multi-horizon cutout forecasts to the packer margin calculator to the booking tracker — is designed to support that discipline. The goal is not to predict the future with certainty. It is to give every protein buyer and seller the same analytical infrastructure that the largest operators in the industry already have — and to make it accessible, auditable, and actionable.