About

About Omnifold, Inc Omnifold designs advanced AI algorithms specifically for forecasting and optimization, which are delivered through our demand and supply planning platform.For each of our customers, we develop a custom AI model which deeply understands the nuances of their operations, delivering exceptionally accurate forecasts which continuously adapt to change. We integrate operational, commercial, and third party data into an AI system which solves their hardest planning problems: SKU / location forecasts, expansions, NPI, and more. Our customers are publicly traded retail, manufacturing and CPG companies, along with high growth brands. We have proven impact compared to planning systems and spreadsheets – case studies include:80% reduction in inventory for new market launch at a multinational cosmetics brand22% reduction in inventory repositioning cost $3B manufacturing company36% reduction in forecast error for a publicly traded CPG44% reduction in inventory storage costs by forecasting new region demand with 70% accuracy at a fast growing beverage company39% reduction in new product forecast error (from 40% to 1%) for an electronics company 42% raw materials inventory reduction for a custom product manufacturing companyOmnifold has raised $28M from tier 1 VCs, along with John Thompson (ex-Chair of Microsoft) and Yannis Skoufalos (ex-CSCO of Proctor & Gamble). Our team includes scientists from Stanford, MIT, and Google. Omnifold designs advanced AI algorithms specifically for forecasting and optimization, which are delivered through our demand and supply planning platform.For each of our customers, we develop a custom AI model which deeply understands the nuances of their operations, delivering exceptionally accurate forecasts which continuously adapt to change. We integrate operational, commercial, and third party data into an AI system which solves their hardest planning problems: SKU / location forecasts, expansions, NPI, and more. Our customers are publicly traded retail, manufacturing and CPG companies, along with high growth brands. We have proven impact compared to planning systems and spreadsheets – case studies include:80% reduction in inventory for new market launch at a multinational cosmetics brand22% reduction in inventory repositioning cost $3B manufacturing company36% reduction in forecast error for a publicly traded CPG44% reduction in inventory storage costs by forecasting new region demand with 70% accuracy at a fast growing beverage company39% reduction in new product forecast error (from 40% to 1%) for an electronics company 42% raw materials inventory reduction for a custom product manufacturing companyOmnifold has raised $28M from tier 1 VCs, along with John Thompson (ex-Chair of Microsoft) and Yannis Skoufalos (ex-CSCO of Proctor & Gamble). Our team includes scientists from Stanford, MIT, and Google.