Spherecast offers an AI‑driven supply‑chain planning platform that unifies baseline forecasts with human overrides into a single, real‑time S&OP view. It automatically parses supplier and contract‑manufacturer emails, updates ERP data without manual entry, and provides natural‑language ‘what‑if’ scenario analysis and AI‑generated recommendations to improve forecast accuracy and accelerate decision making for planners and operations teams.
Funding
$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.



Founders
Product
Problem
Supply chain teams often rely on manual data entry and fragmented spreadsheets, leading to inaccurate forecasts, delayed reactions to supplier updates, and frequent stockouts or overstock situations. The lack of a unified, real‑time view makes it difficult to evaluate “what‑if” scenarios quickly, resulting in reactive rather than proactive planning.
Solution
Spherecast provides an AI‑driven supply‑chain planning platform that combines a baseline forecast with human overrides into a single, shared view, delivering one source of truth for S&OP teams. The system automatically reads supplier and contract‑manufacturer emails, extracts relevant updates, flags exceptions, and syncs the information directly into the ERP without manual spreadsheet edits. Users can ask natural‑language “what‑if” questions—such as demand drops or co‑manufacturer delays—and receive scenario analyses within seconds. AI agents continuously monitor supply exceptions and generate actionable recommendations to keep the planning engine aligned with real‑world changes. The platform delivers forecast accuracy improvements and faster decision cycles, turning chaotic data flows into clear, actionable insights.
Target Audience
Primary customers are supply‑chain planners, S&OP managers, and operations teams at manufacturers, distributors, and consumer‑goods companies that need accurate forecasts and automated supply‑update processing.
Features
- AI baseline forecasting integrated with manual overrides for a unified S&OP view
- Automated email parsing that extracts supplier updates and updates ERP records without manual entry
- Real‑time exception detection and AI‑generated recommendations for handling supply disruptions
- Natural‑language “what‑if” query interface that evaluates complex scenarios in seconds
- Continuous synchronization between supply updates and the planning engine to maintain data consistency
- Sandbox environment for rapid, risk‑free trial and easy integration with existing sales, inventory, purchase, and transfer order data