Spherecast

Visit website

overall

17,290

out of 46,771

+257

traffic

7,446

out of 46,771

+1296

investment

4,338

out of 46,771

-38

review

Not Available

These rankings are based on data from August 2025

Company

Spherecast

Years in business

Number of employees

2-10 employees

Country

Germany

Spherecast provides AI-powered demand and supply planning software for omnichannel consumer brands, optimizing inventory and automating replenishment to prevent stockouts and overstock, enhancing visibility and efficiency.

API Availability

Unknown

Pricing

paid

Go to pricing page

Use

demand forecasting

inventory management

supply chain management

warehouse management

Position of Spherecast on sub rankings

August 2025

Demand forecasting - Overall

102 out of 160

Inventory management - Overall

173 out of 262

Supply chain management - Overall

588 out of 1,024

Warehouse management - Overall

10 out of 19

Demand forecasting - Overall

102 out of 160

Inventory management - Overall

173 out of 262

Supply chain management - Overall

588 out of 1,024

Warehouse management - Overall

10 out of 19

Integrations

amazon

netsuite

shopify

Industries

retail & e-commerce

supply chain & logistics

Company

Spherecast

Years in business

Number of employees

2-10 employees

Country

Germany

Help us improve this profile

Insights

Riding the Nano Banana Wave: The Rise of AI Tools Built on Google’s Latest Image Model

Google’s release of Nano Banana has quickly made it one of the most popular AI models for image generation and editing. This article explores its rapid adoption, the technical advances behind it, and the wave of independent wrappers built around it. We also introduce the Nano Banana AI Tools Ranking, highlighting which wrappers gain the most traction.

From Data to Deployment: A Practical Guide to LLM Deployment and Training Tools

Building and shipping large language models has moved from research labs to everyday product teams. This guide explains how LLM deployment and training tools turn raw data into domain-ready models, then keep them fast, safe, and cost-effective in production.