Well Principled
An A.I. Demand Forecast that Knows which Promos & Ads Drive Profits
Well Principled's S&OP software optimizes promo calendars, ad spend budgets and demand plans for consumer durables brands by merging academic business research into A.I. that truly understands consumer behavior. We have the world's most sophisticated model for understanding “multi-generation consumer durables,” as in, if I run a promo on the mid-range toaster, what will happen to sales of the low and high-end…on Black Friday, if we move 20% of Facebook to Radio, and Wal-Mart is stocked out, all at the same time? Our software allows enterprise brands to know which promos and ad spends to plan and organizes those plans in collaborative S&OP forecasting software.
Active Founders
Ryan Richt
Ryan has galvanized teams with bold vision and disruptive, patented innovations since 2003. Ryan transformed distributed analytics across an academic lab, his first bootstrap startup and computational biology and cloud teams at Monsanto. He grew VC-backed CiBO from 7 to 70 engineers and data scientists. Ryan holds an MBA and BA prob/stats from Olin and WashU.
Christopher Shafer
Chronically the first customer-facing engineer, Chris has delighted customers with deep-data applications from corn germplasm catalogs to global satellite data and environment simulations. Marshalling his broad expertise from cloud architecture to data visualization, Chris delivers outcomes customers love and leads solutions teams to productize them.
Joseph Wingbermuehle
YC Sign Photo
Selected answers from Well Principled's original YC application for the S19 Batch
What is your company going to make? Please describe your product and what it does or will do.
We build software products that allow enterprises to optimize their foundational strategic and operational business processes, like pricing, demand planning, new product launch and R&D investment. We combine state-of-the-art AI with best-practice decision optimization models mined from the academic business literature to close the gap between best-practice and actual practice. Our technology bridges each stage of this practice gap by helping companies (1) harmonize their data centrally with our cloud and ETL automation, (2) learn the structural drivers of their business outcomes with our data science automation and (3) deploy optimized decision models that orchestrate the business with our customized-application automation.