Cartesian Consulting

Cartesian Consulting partnered with Bombas Socks, an e-commerce apparel brand, to assist in marketing attribution. Cartesian gathered data and conducted an exploratory analysis of the business, creating a Python-based model to analyze efficiency trends at a channel level. The model was designed to forecast spending and expected returns. The company's senior analytics manager found Cartesian's skills in model building impressive, leading to an ongoing partnership that began in June 2020.

APL Logistics, a leading provider of supply chain services, engaged Cartesian Consulting to help understand and reduce per diem charges in their industry. The project was divided into two phases. The first phase involved data analysis to understand the key variable drivers of the charges. The second phase involved a deeper dive into these variables to quantify their impact and identify areas of focus to reduce the charges. The project, which ran from May 2019 to January 2020, involved a dozen individuals from both companies and cost approximately $33,000.

Vail Resorts, an operator of ski resorts, hired Cartesian Consulting for predictive modeling and quantitative analysis support. The company lacked data scientists, so Cartesian was brought in to develop a likelihood-to-return predictive model. The model, developed using R, utilized demographic, behavioral, and transactional data from guests who had visited the resorts in the past five years. The project, which began in March 2017, cost about $275,000 and is ongoing. Cartesian's experience with loyalty marketing and analytics made them a prime choice for the project.