{"slug":"otto-improves-demand-forecasting-accuracy-up-to-30-with-google-cloud-s-tide-model","url":"https://findausecase.com/use-cases/otto-improves-demand-forecasting-accuracy-up-to-30-with-google-cloud-s-tide-model","title":"OTTO improves demand forecasting accuracy up to 30% with Google Cloud's TiDE model","description":"OTTO, a leading German ecommerce retailer, used Google Cloud's Time-series Dense Encoder (TiDE) model trained on Vertex AI and deployed on GKE to analyze multivariate time-series data such as seasonal demand patterns, pricing changes, and promotions. TiDE improved demand forecasting accuracy by up to 30%, helping OTTO reduce inventory costs, minimize stock-outs and overstocks, and support dynamic pricing, with particularly strong responsiveness for volatile products like iPhones versus more stable items like men's jeans.","company":"OTTO","industry":"Retail","country":"Germany","aiCapabilities":["Predictive Analytics"],"technology":["Vertex AI","BigQuery","Google Kubernetes Engine (GKE)"],"deployment":"Public Cloud","problemStatement":"OTTO needed to improve the accuracy of its demand forecasting to improve inventory management and customer satisfaction, and found working with complex multivariate time-series data challenging using its baseline approach.","solutionApproach":"OTTO's forecasting team, Team Lumen, implemented Google Cloud's Vertex AI, BigQuery, and Google Kubernetes Engine (GKE), integrating the Time-series Dense Encoder (TiDE) model trained on Vertex AI and deployed on GKE to analyze multivariate time-series data such as seasonal demand patterns, pricing changes and promotions.","businessValue":"The adoption of Google's solutions resulted in an up to 30% improvement in forecasting accuracy, reduced inventory costs, and increased customer satisfaction through timely product availability.","evidence":{"band":"high"},"sourceUrl":"https://cloud.google.com/customers/otto","dates":{"publishedAt":"2026-09-11T09:03:47.345Z","publishedAtSource":"pipeline","updatedAt":"2026-09-11T09:03:47.345Z"},"license":"Open for reading and citing with a link to https://findausecase.com/use-cases/otto-improves-demand-forecasting-accuracy-up-to-30-with-google-cloud-s-tide-model. Bulk republication requires permission."}