| Availability |
Odoo Online
Odoo.sh
On Premise
|
| Odoo Apps Dependencies |
•
Inventory (stock)
• Discuss (mail) • Invoicing (account) |
| Lines of code | 1267 |
| Technical Name |
demand_forecast |
| License | LGPL-3 |
| Website | https://github.com/konoDioo |
| Availability |
Odoo Online
Odoo.sh
On Premise
|
| Odoo Apps Dependencies |
•
Inventory (stock)
• Discuss (mail) • Invoicing (account) |
| Lines of code | 1267 |
| Technical Name |
demand_forecast |
| License | LGPL-3 |
| Website | https://github.com/konoDioo |
Demand Forecasting - AI Powered
Advanced demand forecasting and inventory planning using Facebook Prophet
Key Features
✔ AI-Based Demand Forecasting
Leverages Facebook Prophet to analyze historical sales data and generate reliable future demand forecasts with confidence intervals.
✔ Sales Velocity Classification
Automatically classifies products into Fast, Medium, Slow movers, and Dead Stock based on actual sales performance.
✔ Smart Reordering Recommendations
Calculates optimal reorder quantities using forecasted demand, supplier lead times, and safety stock levels.
✔ Seasonality Analysis
Detects recurring seasonal trends and identifies peak demand periods for improved purchasing and inventory planning.
✔ Interactive Dashboard
Provides a clean, modern dashboard with KPIs, demand trends, and actionable insights.
✔ Forecast Accuracy Monitoring
Track historical forecast accuracy to evaluate and continuously improve prediction quality.
Business Benefits
• Reduce stockouts through proactive demand planning
• Lower inventory holding costs by avoiding overstock
• Automate demand analysis and eliminate manual spreadsheets
• Improve purchasing decisions with data-driven forecasts
How It Works
1. Sales History Analysis
Analyzes historical sales data to understand demand patterns and trends.
2. Forecast Generation
Machine learning model generates future demand forecasts with statistical confidence.
3. Reorder Calculation
Automatically computes recommended reorder quantities based on forecast and lead time.
4. Decision Support
Use insights and KPIs to take informed inventory and purchasing decisions.
Data Requirements for Accurate Forecasting
| Sales History | Forecast Quality |
|---|---|
| Minimum 2 weeks | Basic forecasting (limited accuracy) |
| 1-3 months | Good short-term forecasts |
| 6+ months | Reliable forecasts with trend detection |
| 1-2 years | Best results with full seasonality detection |
Tip: The module works best for businesses with at least a few months of sales history in Odoo.
Support & Customization
We provide full technical support and customization services. Please contact us via the Odoo Apps platform.
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