Predict Demand, Optimize Inventory
AI-powered forecasting that drives smarter decisions.
Build a custom demand planning system that uses machine learning to predict demand and optimize inventory levels.
Intelligent Demand Planning
Our demand planning systems combine historical data, market signals, and machine learning for accurate forecasts.
Accurate demand forecasting is the foundation of efficient supply chain operations. Too much inventory ties up capital; too little means stockouts and lost sales. We build custom demand planning systems that use advanced machine learning to predict demand with high accuracy.
Our systems go beyond simple trend analysis, incorporating seasonality, promotions, external factors, and market signals. Combined with inventory optimization algorithms, you get actionable recommendations for what to order, when to order, and how much to hold.
Why Build Custom Demand Planning Software?
Expert demand planning development tailored to your data and business.
Custom demand planning lets you train models on your specific data patterns, not generic algorithms. Deep system integration connects directly to your ERP, POS, and supply chain systems.
You get custom business logic that incorporates your specific planning rules, constraints, and workflows. Actionable recommendations provide specific order suggestions, not just forecasts.
Requirements & Prerequisites
Understand what you need to get started and what we can help with
Required(2)
Data Requirements
Historical sales data, product hierarchy, promotion calendar, and external data sources.
Planning Process
Planning horizon, forecast granularity, collaborative workflow, and S&OP integration.
Recommended(1)
Integration & Output
ERP integration, reporting dashboards, and export requirements.
Common Challenges & Solutions
Understand the obstacles you might face and how we address them
Inaccurate Forecasts
Spreadsheet forecasting with high error rates causing stockouts and overstock.
Our Solution
Machine learning models improve forecast accuracy from 60% to 90%.
Inventory Imbalance
Too much slow-movers, not enough fast-movers, capital tied up wrong.
Our Solution
AI-driven optimization reduces inventory 25% while maintaining 98% service levels.
Slow Planning Cycles
Days spent manually building forecasts in Excel.
Our Solution
Automated forecasting reduces planning cycle from 5 days to 1 day.
Poor Promotion Planning
Promotions cause stockouts or massive overstock.
Our Solution
Promotion impact modeling improves promotional forecast accuracy by 40%.
Your Dedicated Team
Meet the experts who will drive your project to success
Demand Planners
Responsibility
Create and refine forecasts, manage exceptions, run scenarios.
Experience
Demand planning and forecasting background
Supply Planners
Responsibility
Use forecasts to plan inventory and purchase orders.
Experience
Inventory and procurement experience
Sales & Marketing
Responsibility
Provide market intelligence and promotional plans.
Experience
Market and customer knowledge
Leadership
Responsibility
Review plans and make strategic decisions.
Experience
S&OP and strategic planning
Engagement Model
Ongoing model tuning and process optimization
Success Metrics
Measurable outcomes you can expect from our engagement
Forecast Accuracy
85-95%
MAPE improvement over baseline.
Typical Range
Inventory Reduction
20-30%
Reduction in total inventory value.
Typical Range
Stockout Rate
70% Lower
Reduction in out-of-stock events.
Typical Range
Service Level
98%+
Order fulfillment rate maintained.
Typical Range
Planning Time
80% Faster
Reduction in planning cycle time.
Typical Range
Forecast Bias
<3%
Bias across product categories.
Typical Range
Return on Investment
Demand planning delivers substantial ROI through inventory optimization and improved service levels.
Inventory Savings
20-30%
Within Reduction in inventory value
Carrying Cost Savings
$500K+
Within Annual for $10M inventory
Lost Sales Recovery
70%
Within Reduction in stockouts
“These are typical results based on our engagements. Actual outcomes depend on your specific context, market conditions, and organizational readiness.”
Why Choose Us?
See how our approach compares to traditional alternatives
| Aspect | Our Approach | Traditional Approach |
|---|---|---|
| Forecasting Method | Custom ML models for your data Higher accuracy for your products | Generic statistical models |
| Data Integration | Deep ERP/POS integration Seamless data flow | Standard connectors |
| External Factors | Custom signals (weather, economic) Better prediction accuracy | Limited external data |
| Pricing | One-time + maintenance Lower total cost | Per-user/SKU fees |
Technologies We Use
Modern, battle-tested technologies for reliable and scalable solutions
Python
ML models and data processing
React
Planning interface and dashboards
PostgreSQL
Planning data storage
TensorFlow
Deep learning models
Ready to Get Started?
Let's discuss how we can help you with supply chain management.