Spherecast
AI Supply Chain Manager for Ecommerce
Spherecast is an AI-powered inventory management software for omni-channel e-commerce brands, supporting supply chain managers with demand planning, inventory optimization, and supplier communication. Spherecast tells brands when to reorder, how much, which warehouse to stock, and at what cost. It then autonomously executes these decisions by communicating with suppliers and manufacturers. Spherecast helps avoid stockouts and overstock, improve inventory visibility, and save time.
Active Founders
Leon Hergert, Founder
Leon is the Co-founder and CEO of Spherecast (S24). He has worked in supply chain and logistics planning twice (aviation and e-commerce) and is now doubling down on the problem space with Spherecast. He has a background in Information Systems from the Technical University of Munich and Technology Management from CDTM. Besides that, he loves playing basketball.
Paul Dietrich, Founder
Paul always wanted to work on his own projects. After building some small apps as side projects, he co-founded a software agency alongside his studies and scaled it to multiple 100k in total revenue. This helped him sharpen his skill set in full-stack development, design, and entrepreneurship. Now at Spherecast, he's responsible for building a product our customers love.
Pascal Schindler, Founder
Growing up with an affinity for building, he developed a passion for the intersection of operations, machine learning, and optimization. From building robotics automation at Deadalus (YC W20) to completing his academic research with a focus on non-linear optimization at British Columbia, these experiences led him to pursue his passion as the CTO of Spherecast
Company Launches
Spherecast is an inventory copilot supporting multi-channel brands with their inventory decisions.
❌ The problem
As soon as brands go multi-channel, e.g. enter a marketplace or are placed at offline retailers, they face new complexities when it comes to planning demand.
Besides that, scaling into multiple channels often entails adding new warehouse locations through the supply chain, be it by sourcing raw materials by yourself or adding FBA as an outbound fulfiller.
This is accompanied by rising logistics costs and inventory constraints (such as the low inventory level fee of Amazon or expiration date requirements for sales channels).
The combination of these aspects leaves supply chain managers with a sheer amount of different constraints to handle – often in very large spreadsheets. This leads to inventory distortion costs – the cost of stockouts and overstock – which is a $1.8 trillion USD problem for retailers worldwide.
✅ The solution
Spherecast combines demand planning, replenishment and inventory optimization in one platform. We connect to shop systems and ERPs automatically.
With the platform, brands can automatically get:
A library of machine learning forecasts per product and channel to optimize forecast accuracy combined with a collaborative environment to plan with multiple stakeholders.
Replenishment optimization, considering
- Inbound orders and shipments to any warehouse
- Outbound (future) send-ins (e.g. to another warehouse)
- Linear constraints such as dynamic safety stock, target coverage and lead times
- Non-linear constraints such as MOQ are integrated
With that, we believe inventory management should transform into inventory optimization for everyone.
🚀 Our mission
We want to create a world where stockouts do not exist anymore. Imagine any product at the right place, at any time — enabled by Spherecast.
🙏 Our ask
If you happen to know supply chain managers at multi-channel e-commerce brands – we’d love to chat!
- Book a demo here or contact us via leon@spherecast.ai
- Tell your network about inventory optimization for e-commerce and share this post
- Check out our website spherecast.ai
From left to right: Felix Grote (Founding Business Developer), Pascal Schindler (Co-Founder & CTO), Paul Dietrich (Co-Founder & CPO), Leon Voland (Founding Engineer), Leon Hergert (Co-Founder & CEO)