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This roadmap outlines the strategic direction for the Demand Forecasting system.

Q1 2026: Scalability & Operations

Kubernetes Operator

Migrate from Docker Compose to a Helm-managed Kubernetes deployment (EKS).

GPU Support

Enable task_type="GPU" for CatBoost to reduce optimization time by 50%.

Model Registry UI

Deploy MLflow UI behind OAuth proxy for broader team access.

Q2 2026: Advanced Modeling

Deep Learning

Introduce LSTM or Transformer-based model into the A/B testing rotation.

External Regressors

Integrate holiday calendars and major local event data into the feature store.

Real-time Serving

Move from Batch Inference to low-latency Online Inference (gRPC).

Q3 2026: Infrastructure & Resilience

Auto-Scaling Inference

Horizontal Pod Autoscaling (HPA) for the Model Server based on request volume.

Shadow Mode

Deploy “Shadow” models that receive traffic but don’t return predictions (for safe testing).