Demand Forecasting & Inventory Optimization

Optimize inventory levels and reduce costs with AI-powered demand forecasting. Our machine learning models predict future demand with high accuracy, accounting for seasonality, trends, promotions, weather, and external factors.

We help retailers, manufacturers, and distributors optimize inventory levels, reduce stockouts, minimize excess inventory, and improve cash flow. Our systems provide SKU-level forecasts, safety stock recommendations, and reorder point optimization.

• SKU-level demand forecasts with daily, weekly, and monthly horizons

• Seasonality decomposition and trend analysis

• Promotional uplift modeling for campaign planning

• Optimal safety stock and reorder point calculations

• Multi-location inventory balancing and allocation

• Dead stock identification and markdown recommendations

• What-if scenario tools for demand planning exercises

• External factor integration (weather, events, economic indicators)

• Automated purchase order recommendations

• ERP and WMS integration with bidirectional data sync

Retail Chains optimizing inventory across hundreds of stores to minimize stockouts and overstock

E-Commerce Businesses balancing warehouse inventory against demand volatility

Manufacturing Companies planning production schedules based on forecasted demand

FMCG & CPG Brands coordinating supply chain and distribution based on retail demand

Wholesale Distributors managing inventory across multiple warehouses and customer segments

Fashion Retailers managing seasonal inventory with limited product lifecycle

Data Integration & Historical Analysis We integrate POS, sales, inventory, and promotional data, perform exploratory analysis to understand patterns, identify seasonality and trends, and benchmark current forecasting accuracy.

Forecasting Model Development We build time series models (Prophet, ARIMA, LSTM), incorporate promotional and external factors, validate accuracy through backtesting, and optimize models per SKU category.

Inventory Optimization Logic We develop optimal inventory level calculations, implement safety stock algorithms, create reorder point recommendations, and build multi-echelon inventory balancing.

Dashboard, Integration & Launch We create forecasting and inventory dashboards for planners, integrate with ERP/WMS systems, automate purchase order suggestions, and train supply chain teams on using the system.

✓ Granular Forecasting — We forecast at the SKU-location-day level, not just aggregate numbers, enabling precise inventory decisions

✓ Promotional Impact Modeling — Our models accurately predict demand uplift during promotions, preventing both stockouts and post-promotion excess

✓ Real-World Validation — We validate forecasts against business intuition and adjust for known factors models can't capture

✓ Working Capital ROI — Clients typically see 25-35% reduction in inventory carrying costs while improving fill rates

✓ Continuous Improvement — Models automatically retrain weekly on fresh data, maintaining accuracy as demand patterns shift