Spherecast
TL;DR
Spherecast is an inventory co-pilot for multi-channel e-commerce brands that helps with demand planning, replenishment, and inventory optimization to prevent stock-outs and overstock situations.
What's the backstory?
Founder Leon Hergert has a background in information systems from Tech University of Munich. He first encountered supply chain optimization during an internship at Lufthansa in Beijing.
After seeing similar inventory planning challenges across different industries (e.g. aviation and e-commerce logistics), Leon met his co-founders during his master's degree and started exploring the problem together.
The team began with prototypes and user conversations while studying, then went full-time in August 2023 and was accepted into Y Combinator's summer batch in 2024.
How does it work?
What makes it different?
Key offerings
Demand planning
Create a baseline forecast based on different forecasting methods, including machine learning algorithms. Remove outliers such as out-of-stock periods automatically.
Inventory Optimization
Optimizing multi-warehouse inventory with constraints like dynamic safety stock, target coverage, lead times, and MOQs.
Purchase Order Forecasting
Generate an optimal 12-month purchase order plan.
Cash-outflow Forecast
Based on the ideal purchase order plan and payment terms of the suppliers, Spherecast created and cash-outflow forecast to plan for liquidity accordingly.
How does pricing work?
Typical budget
Billing models
Who is it for?
Case studies
FAQ
1 week with white-glove onboarding
Profile last edited by StartOps on March 11, 2025.