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Cake for Business Forecasting

Predict future trends using open-source forecasting frameworks integrated with Cake’s modular, cloud-agnostic AI platform. Build pipelines that scale from experimentation to enterprise-grade production.

 

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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 NeuralProphet, orchestrate workflows with Kubeflow Pipelines, and monitor accuracy drift over time 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.

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Increase in
MLOps productivity

 

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Faster model deployment
to production

 

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Annual savings per
LLM project

EXAMPLE USE CASES

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Teams use Cake’s forecasting stack to power
real-time and long-term decision-making

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Demand forecasting

Predict product demand by location or SKU to optimize inventory, pricing, and supply chain planning.

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Churn modeling

Forecast user churn likelihood based on activity, cohorts, and seasonality to improve retention strategies.

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Revenue and usage projections

Model future usage or revenue for planning, capacity forecasting, and budgeting purposes.

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Capacity planning

Forecast infrastructure, staffing, or manufacturing needs to ensure operations scale smoothly with demand.

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Marketing performance projection

Estimate the future impact of campaigns across channels (e.g., email, paid ads, or social) using historical engagement and conversion data.

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Inventory and supply forecasting

Predict stock levels and supplier needs to avoid shortages, overages, and missed revenue opportunities.

IN DEPTH

Forecast the future and act on it with predictive analytics

Forecasting is just the start. See how teams use predictive analytics to drive smarter decisions across supply chain, finance, and customer strategy, powered by real-time data and open-source AI.

Read More >

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What data intelligence really means and why it matters

Data intelligence goes beyond dashboards. Learn how leading teams are using AI to connect, understand, and act on their data with speed and precision.

Read More >

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"Our partnership with Cake has been a clear strategic choice – we're achieving the impact of two to three technical hires with the equivalent investment of half an FTE."

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Scott Stafford
Chief Enterprise Architect at Ping

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"With Cake we are conservatively saving at least half a million dollars purely on headcount."

CEO
InsureTech Company

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"Cake powers our complex, highly scaled AI infrastructure. Their platform accelerates our model development and deployment both on-prem and in the cloud"

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Felix Baldauf-Lenschen
CEO and Founder

Frequently asked questions

How does Cake support forecasting?

Cake connects open-source forecasting frameworks with secure, cloud-agnostic infrastructure. This lets teams build and deploy forecasting models faster, with built-in observability, compliance, and cost controls.

What types of forecasting can I build with Cake?

Why is AI forecasting better than traditional methods?

How does Cake ensure security and compliance in forecasting?

Learn more about Cake

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