Demand Forecasting
Predict future demand with advanced AI models. Optimize inventory levels while improving product availability.
Leverage machine learning, external data integration, and probabilistic forecasting to transform your supply chain planning.
Forecasting Configuration
Traditional Forecasting Falls Short. AI Changes Everything.
Manual forecasting methods can't handle today's complexity. AI-powered forecasting delivers accuracy at scale.
Traditional Methods
- ×Spreadsheet-based with manual adjustments
- ×Simple moving averages and trend lines
- ×Ignores external factors and correlations
- ×Higher forecast errors
- ×Time-consuming manual processes
- ×No confidence intervals or scenarios
AI-Powered Forecasting
- ✓Automated model selection and optimization
- ✓Advanced ML and deep learning models
- ✓Integrates all relevant data sources
- ✓Improved accuracy tailored to your data
- ✓Automated, scalable processes
- ✓Probabilistic forecasts with scenarios
Your Path to Predictive Excellence
Six simple steps to transform your demand planning with AI
Configure Parameters
Select forecast horizon, granularity, and accuracy metrics
From hourly to yearly, with customizable metrics
Integrate External Data
Enrich forecasts with promotions, weather, holidays, and more
6+ external data source categories available
Automatic Model Selection
AI evaluates multiple algorithms and selects the best performer
Ensemble of advanced time series and ML models
Generate Forecasts
Create point forecasts with confidence intervals
Probabilistic forecasts with uncertainty quantification
Compare Models
Evaluate against baseline or previous forecasts
Full KPI comparison with accuracy metrics
Deploy & Monitor
Operationalize forecasts with automatic updates and alerts
Real-time monitoring with drift detection
Enterprise-Grade Forecasting Capabilities
Leverage cutting-edge algorithms and comprehensive data integration
Time Series Decomposition
Advanced Algorithms
Feature Engineering
Uncertainty Quantification
Rich External Data Integration
Enrich your forecasts with relevant external signals for superior accuracy
Promotions & Marketing
Campaign data, discounts, advertising spend
Weather Data
Temperature, precipitation, seasonality effects
Holidays & Events
Public holidays, sporting events, local festivities
Economic Indicators
GDP, inflation, consumer confidence indices
Competitive Intelligence
Competitor pricing, market share changes
Social Trends
Social media sentiment, trending topics
Accuracy Metrics & Performance
Track and optimize your forecasts with comprehensive metrics
MAPE
(Mean Absolute Percentage Error)MAE
(Mean Absolute Error)RMSE
(Root Mean Square Error)MASE
(Mean Absolute Scaled Error)Bias
(Forecast Bias)Coverage
(Prediction Interval Coverage)Validate and Compare Your Forecasts
Prove forecast improvements with comprehensive model comparison
Side-by-Side Analysis
Compare your AI forecasts with baseline models or previous forecasts to demonstrate value
- Accuracy Comparison
All metrics side-by-side across models
- KPI Dashboards
Full performance analytics for each model
- Visual Comparison
Interactive charts showing forecast differences
- Business Impact
Translate accuracy to inventory and service metrics
Model Performance Comparison
Potential for significant inventory reduction and service improvement
Transform Your Supply Chain Performance
Achieve breakthrough improvements across all dimensions
Inventory Optimization
Balance stock levels more effectively, reducing holding costs while maintaining target service levels
Reduced excess stockImproved Accuracy
AI-powered models that learn from your unique patterns and adapt to changing conditions
Better predictionsRevenue Protection
Reduce stockouts and optimize product availability based on predicted demand patterns
Fewer lost salesFaster Planning
Automate forecasting processes and reduce manual planning time from days to hours
Time savedRisk Management
Identify demand volatility and prepare for various scenarios with probabilistic forecasts
Better preparationProduction Alignment
Better align production schedules with predicted demand to reduce waste and improve efficiency
Less overproductionProven Success Across Industries
From retail to manufacturing, see how companies transform their forecasting
Retail Demand Planning
Multi-channel retailer with 500+ stores and e-commerce
Seasonal variations, promotions, new product launches, omnichannel complexity
AI forecasting with promotion effects, weather integration, and hierarchical reconciliation
Significant inventory reduction while improving product availability
CPG Supply Planning
Consumer goods manufacturer with complex distribution network
Long lead times, perishability, promotional volatility, retailer compliance
Multi-echelon forecasting with external data integration and probabilistic models
Reduced waste, improved OTIF performance, faster planning cycles
E-commerce Inventory
Fast-growing online retailer with 10,000+ SKUs
Long-tail products, rapid growth, supplier constraints, return rates
Machine learning models with automatic feature engineering and cross-learning
Lower holding costs while maintaining high availability for key products
Manufacturing MRP
Industrial manufacturer with complex BOM structures
Component dependencies, capacity constraints, minimum order quantities
Hierarchical forecasting with constraint-aware optimization
Reduced expediting costs and improved operational efficiency
Fresh Food Management
Grocery chain with perishable products
Short shelf life, weather sensitivity, waste reduction targets
High-frequency forecasting with weather data and dynamic repricing
Substantial waste reduction and improved margins through better availability
New Product Introduction
Launching products with no historical data
No sales history, uncertain adoption rates, cannibalization effects
Similar product modeling, market research integration, scenario planning
More reliable launch forecasts and reduced inventory risk
Measurable Business Impact
Real results from real implementations
Why Choose Lagrange.AI for Demand Forecasting
Unique capabilities that deliver superior forecasting performance
AutoML Forecasting Engine
Automatically tests and combines multiple algorithms to find the optimal model for your data
Hierarchical Forecasting
Maintain consistency across product, location, and time hierarchies with reconciliation
Scenario Planning
Create what-if scenarios and compare multiple forecast versions side by side
Explainable AI
Understand what drives your forecasts with feature importance and contribution analysis
Continuous Learning
Models automatically retrain and adapt to new patterns and changing conditions
Real-time Updates
Refresh forecasts instantly as new data arrives with streaming capabilities