Cake for Business Forecasting

Overview

From revenue planning and inventory management to churn prediction and energy demand, forecasting powers some of the most business-critical decisions. But building forecasting models that are reliable, explainable, and production-ready isn’t easy, especially when data pipelines and model infrastructure are stitched together manually.

Cake provides a unified, open-source forecasting stack that handles everything from data ingestion and transformation to model training, versioning, and performance monitoring. Use trusted tools like XGBoost, PyTorch, or Neural Prophet, orchestrate workflows with Kubeflow Pipelines, and monitor accuracy drift over time—all within a modular, cloud-agnostic system.

Cake allows you to expand forecasting from standalone notebooks to fully auditable production systems, all while maintaining flexibility and control.

Key benefits

• Accelerate forecasting workflows: Build, deploy, and monitor forecasting models using pre-integrated components.
  
  
• Choose the right tools: Use the forecasting libraries and frameworks that best fit your time series and data structure.
  
  
• Run anywhere: Deploy your stack across cloud, on-prem, or hybrid environments with no lock-in.
  
  
• Monitor model accuracy: Detect forecast drift, track performance over time, and trigger automated retraining.
  
  
• Support compliance and reproducibility: Capture lineage, manage access, and enable traceability across the stack.