Case Study: Pluto7 achieves more accurate demand forecasts with Google Cloud Platform

Pluto7 Using machine learning to accurately predict demand

Pluto7’s Planning In A Box is a SaaS that helps small and midsized retailers on channels like Amazon, Shopify, and eBay forecast demand and manage inventory. The company faced unreliable infrastructure and limited forecasting accuracy—its prior SQL/ML server frequently crashed, produced only statistical-average forecasts, and couldn’t scale cost‑effectively, tying up data scientists in maintenance instead of product development.

Pluto7 migrated to Google Cloud Platform and used Google Cloud Machine Learning Engine alongside BigQuery, Cloud SQL, and Google Kubernetes Engine to run time‑series models and scale reliably. The result: significantly improved and timely forecasts (one customer’s kite demand was predicted to jump nearly 300% before the holidays), a crash‑free, scalable platform, faster feature rollout (chatbots deployed in a day), and freed engineering resources to build new capabilities and grow the business.

Pluto7

Salil Amonkar

COO and AI/ML Professional Services Leader