Running supply chain forecasting with o1-mini: We saved 62% on inference costs, but we ran into 2 fatal pitfalls.
This article is based on the real experiences of a SaaS team with a supply chain of 20 people in North America. It shares the actual benefits of using o1-mini to replace the main large models for demand forecasting in inventory management: it solves the problem of rate limiting, reduces inference costs by 62%, and significantly improves forecasting efficiency. At the same time, it reveals hidden pitfalls such as biases in the processing of unstructured data and errors in multi-language mapping, and provides clear applicable scenarios and tips for getting started.
