Demand Forecasting
Demand forecasting that improves inventory, planning, and profitability
Multi-store, multi-product, multi-region forecasting built on proven ML, then deployed to production with managed monitoring.
Business impact
The cost of guessing demand
Hold too much and cash freezes in stock that ages into markdowns and waste. Hold too little and you turn buyers away and hand the sale to a competitor. Forecasting narrows that gap, so inventory tracks real demand instead of a hunch.
- Overstock ties up working capital and ages into markdowns and waste.
- Stockouts turn buyers away and hand revenue to a competitor.
- A good forecast keeps inventory close to demand, week after week.
What we do
From many data sources to a forecast you can trust
A repeatable path from raw, messy data to a validated forecast running in production with monitoring.
Data ingestion
Pull from multiple sources across your systems, for example sales history from your ERP and product hierarchies from your data warehouse.
Outlier treatment
Clean anomalies before they distort the model, for example with isolation forest.
Feature engineering
Encode seasonality, holidays, promotions, and weekends.
Train and validate
Time series, regression, and advanced ML, compared on held-out data.
Accuracy validation
Measure forecasts against actuals before anything ships.
Deploy and monitor
Run in production with monitoring in Power BI or Tableau.
Outcomes
What forecasting changed, in the field
Real results from demand-forecasting engagements, anonymised by industry and geography.
Retail
Australia, multi-store and multi-regioninventory holding costs, year 1
sales, six months
production waste
profitability
Pharma
European Unioninventory holding costs
drug shortages
Travel
United States airlineload factor
- Revenue up through demand-based pricing
- Improved NPS
How it fits
FlashAI and the forecasting practice, side by side
FlashAI
FlashAI brings real-time answers and Stockout Prediction across your ERP, out of the box.
Explore FlashAIConsulting practice
The consulting practice delivers bespoke, multi-source demand forecasting at enterprise scale, across systems and regions.
See AI TransformationFAQ
Frequently asked questions
fioriFox delivers multi-store, multi-product, multi-region demand forecasting built on proven ML, then deployed to production with managed monitoring.
fioriFox uses proven models including Prophet, ARIMA, SARIMA, and XGBoost, comparing time series, regression, and advanced ML on held-out data before anything ships.
It runs through data ingestion from your systems, outlier treatment, feature engineering for seasonality, holidays, and promotions, training and validation, accuracy validation against actuals, and deployment to production with monitoring in Power BI or Tableau.
FlashAI brings real-time answers and Stockout Prediction across your ERP out of the box, while the consulting practice delivers bespoke, multi-source demand forecasting at enterprise scale, across systems and regions.