Supply Chain Intelligence
See your supply chain clearly.
AI-powered demand forecasting, network optimization, and inventory analytics — built on 35 years of supply chain domain expertise.
Enterprise supply chains are flying blind
Demand planners spend 80% of their time wrangling spreadsheets instead of planning
Forecast accuracy metrics are calculated inconsistently across teams and regions
ERP data sits in silos — connecting demand to supply to inventory requires manual joins
Statistical models are chosen by habit, not by demand pattern classification
Network optimization requires expensive consultants for routine analysis
BOM explosions and capacity checks happen in separate systems with no cross-reference
Capabilities
What you can do
Statistical Forecasting
12 models across 3 families — Time Series (ARIMA, SARIMA, Prophet, Holt-Winters), Machine Learning (XGBoost, LightGBM, Random Forest), and Regression. You choose the model.
CV² Demand Classification
Automatically classify demand patterns as Smooth, Erratic, Intermittent, or Lumpy using industry-standard CV² and ADI analysis. Match the right model to each pattern.
BOM Explosion
Trace finished goods through semi-finished to raw materials. Understand component dependencies, lead times, and sourcing alternatives across your production network.
Network Optimization
Analyze transportation lanes, lead times, and sourcing ratios. Identify bottlenecks, redundant routes, and opportunities for consolidation.
Inventory Analytics
Safety stock calculations, MRP parameter tuning, lot size optimization. See inventory levels, coverage horizons, and reorder points across all locations.
Forecast Accuracy
8 error measures: MAPE, WMAPE, MAD, MSE, RMSE, MPE, ET, MASE. Automatic train/test splits with comparison charts. WMAPE recommended for volume-weighted accuracy.
How It Works
Three steps to insight
Connect Your Data
Upload CSV, Excel, or connect to your ERP. Aantic AI automatically understands your star schema — dimensions, bridges, and fact tables.
Ask in Natural Language
Skip the dashboards. Ask: "What's our gross margin by region?" or "Run a Monte Carlo simulation on next quarter's revenue."
Get Actionable Insights
Receive data tables, charts, forecasts, and risk analyses — with the Python code behind every answer. Export to Excel with one click.
Try Asking
Questions you can ask today
“What are the total sales for a product by region and year?”
“Classify all products by demand pattern using CV²”
“Run ARIMA and Holt-Winters on a product, compare accuracy”
“Show the BOM tree for a product at Plant Frankfurt”
“Which transportation lanes have the longest lead times?”
“Calculate safety stock for all DCs using 95% service level”
“What is the forecast for a product family next 12 weeks?”
“Show OTIF performance by customer for 2024”
Compatible Data