Why Cost to Serve Needs Operations in the Room
How companies build a clearer view of their true profitability, and the muscle to act on it.
Managing Principal, Supply Chain & Logistics
Supply chain leader and operations consultant with more than a decade of experience designing and planning large-scale logistics networks, and building the teams that plan them.
Chris pairs advanced network modeling with the planning discipline to execute it. He sets up the processes and cadences that turn long-range forecasts into capacity, labor, and site decisions. At Amazon, that meant weekly capacity reviews (daily during peak), a monthly strategic S&OP that set the mid-range outlook and the levers to resolve constraints, and twice-yearly planning cycles looking one to three years out. His expertise spans network topology design, capacity planning, transportation modeling, carrier strategy, and peak readiness.
Chris helps organizations design and improve fulfillment, transportation, inventory, network design, and last-mile operations, moving from strategic network decisions through operating-system design and implementation. He works with shippers, parcel and last-mile carriers, 3PLs, and private equity–backed operators, from growth-stage companies building their first network plan to enterprises redesigning theirs at scale.
Supply Chain & LogisticsBefore joining Cade Ops, Chris spent seven years designing delivery networks and leading planning teams at Amazon, and four years building quality systems in aerospace manufacturing at W.L. Gore & Associates.
Chris owned network design strategy for Amazon Shipping’s North American transportation network, connecting first, middle, and last mile into one plan. He architected the 10-year strategy that scaled the network to 187 metro areas and more than 11,000 cities by the end of 2024. He built and led the network design team behind this work, growing it to eleven supply chain managers and analysts and adding a second management layer as it scaled.
Along the way, he turned network design into measurable savings. His last-mile carrier selection models cut cost per package by 34%, saving $8.4M a year. Bringing dropship vendors onto Amazon’s own network moved 26 million packages off external carriers and saved more than $17M a year. An automated capacity system he launched reduced capacity-related shipping defects by 84%, and benchmarking against third-party carriers led to design changes that made deliveries 15% faster.
As a founding member of the Amazon Shipping U.S. launch team, Chris designed the go-to-market network plan for small parcel and less-than-truckload operations, which generated $60.6M and $20.9M in first-year revenue. He scaled the launch to 40 sites across 9 metro areas, and early in the COVID-19 pandemic he created a same-day delivery design for third-party merchants that paved the way for Amazon Today.
He then led a five-person team responsible for on-road capacity planning for the North America last mile network while it opened more than 100 new delivery stations a year. A new planning method that accounted for overtime behavior and new-driver ramp-up cut hiring needs by 19.7% for Prime Day 2021 and saved $29M in peak-week labor. A route-level forecast based on geographic demand density saved $35.7M a year, and the automated, self-service planning models his team built cut manual pre- and post-processing work by more than 90%.
Chris started his career improving manufacturing quality alongside engineering and supply chain teams. He raised fiber optic extrusion yield by 30% through process redesign, set AS9100-aligned workmanship standards that cut operator training time by 60%, and designed a calibration and sourcing strategy that reduced asset inventory by 15%, improved equipment uptime by 10%, and lowered annual costs by 11%.
M.A.Sc. in Supply Chain Management, 2018
Awarded the MIT Center for Transportation & Logistics Supply Chain Excellence Scholarship.
B.S. in Supply Chain Management, minor in Entrepreneurship, 2013
How companies build a clearer view of their true profitability, and the muscle to act on it.
How mid-market shippers can build high-performing, cost-efficient delivery networks in the golden age of carrier choice.
How conversational AI improves time-series forecasts by adding what's missing from the data: human context.
The real ROI sits in the middle: using AI to accelerate routine decision-making processes and automate repetitive tasks.
Share the supply chain, transportation, or capacity question you are working on, and Chris or another Cade Ops leader will follow up.
Prefer email? inquiry@cadeops.com