Demand & inventory
Fewer stockouts, less overstock.
- SKU/store forecasts
- Seasonality & events
- Lead time & safety stock
- Hierarchical models
Target Group: Forecasting with Machine Learning
Smarter plans, lower risk — ML forecasting for your business
We build robust forecasts for demand, inventory, pricing, failures and cashflow — with solid features, backtesting and production-grade MLOps.
- Time series
- Probabilistic
- MLOps & monitoring
Why forecasts often miss
Excel trends ignore seasonality, exogenous factors and data quality. We ship models that quantify uncertainty and drive operations.
No uncertainty bands
Point estimates hide risk. We deliver confidence intervals & P95 scenarios for better decisions.
Wrong granularity
Global forecast, local reality: we model at SKU/store/region and aggregate correctly (hierarchical).
Fragile pipelines
One-off notebooks aren’t production. We use repeatable pipelines, CI/CD, drift monitoring and alerts.
Our forecasting services
Pricing & promotion
Measure elasticity and balance margin vs. volume.
- Price elasticity
- Promo lift
- What-if scenarios
- Dynamic pricing rules
Predictive maintenance
Anticipate failures and cut downtime.
- Sensor features
- Remaining useful life
- Anomaly detection
- Maintenance scheduling
Finance & cashflow
Plan liquidity, optimize working capital.
- AR/AP forecasts
- Scenario analysis
- Macro exogenous
- Risk bands
Anomaly & fraud detection
Spot outliers early and act fast.
- Streaming scoring
- Seasonal-hybrid
- Precision/recall tuning
- Human-in-the-loop
MLOps & governance
Operate models reliably — auditable & scalable.
- Feature store
- Backtesting/walk-forward
- Drift/latency monitoring
- CI/CD & rollbacks
From data to dependable forecasts
1
Scope & KPIs
Define business question, granularity, cost/benefit and target metrics.
2
Data & features
Connect sources, cleaning, exogenous signals, feature engineering.
3
Model & validate
Baseline vs ML (Prophet, XGBoost, DeepTS), backtests & stress tests.
4
Deploy & improve
API/batch pipelines, monitoring, retraining, A/B versus rule-based.
Plan with an edge.
Let’s start with a focused use case and deliver forecasts that improve decisions — measurable and production-ready.