Atomic is a software company that provides supply chain planning and optimization technology to help businesses manage inventory, purchasing, and demand forecasting.
Co-founders Michael Rossiter and Neal Suidan previously worked together at Tesla, where Neal ran Global Demand Planning and Michael ran S&OP.
At Tesla, they identified significant planning challenges where teams were passing spreadsheets back and forth, leading to errors in demand planning, production planning, and inventory management.
After leaving Tesla, they reconnected and realized most companies face similar challenges but remain stuck using spreadsheets.
They are building Atomic to be a tool with the power and flexibility of spreadsheets, but the robustness of software.
Build a highly customizable model of your entire supply chain, then watch changes propagate through via daily updates.
Use various models (cohort forecasts, time series, etc.) to anticipate future demand.
Optimize finished goods purchasing by connecting demand forecasting with inventory planning, reducing working capital tied up in inventory.
An extension of the purchasing module that handles component-level planning for manufacturers with bills of materials.
See how changes to speeds, costs, demand, and other factors will impact stock levels, working capital, and more.
Quantify financial implications of inventory and purchasing decisions, aiding executive reporting and justification, including daily working capital forecast that fully reflects COGS and vendor terms.
Dynamically prioritize SKUs and service levels for any objective (strategic accounts, SKU lifecycle, channel priority, etc).
Manage inventory health proactively, identifying slow-moving, expiring, or excess stock early; easily transition to new products from end-of-life SKUs.
Flag variances and risks in the plan to zero in on exceptions that require your attention.
Proactively manage supplier reliability, highlight at-risk SKUs, and mitigate supply chain disruptions effectively.
Profile last edited by StartOps on May 1, 2025.