ODOO- Time Series Forecast
The Odoo Time Series Forecast module empowers businesses to make smarter, data-driven decisions by providing accurate demand forecasting based on historical sales and inventory data. Utilizing advanced time series analysis techniques, this module helps predict future product demand, optimize inventory levels, and reduce stockouts or overstock situations. https://facebook.github.io/prophet/docs/quick_start.html
Highlighted-features
Accurate Demand Forecasting
Uses historical sales data to predict future demand trends for products with high precision.
Inventory Optimization
Helps maintain optimal stock levels by aligning purchase and production plans with forecasted demand.
Intuitive Dashboards
Visualize inventory data and historical trends with interactive graphs and charts directly within Odoo.
Features
Screenshots
Automated Data Updates
Schedule regular data recalculations to keep your data up-to-date.
Time Series Analysis
Incorporates advanced statistical and machine learning models, such as Facebook Prophet, to handle seasonality, trends.
Streamline Purchase Decisions
Receive timely recommendations and reorder based on the Inventory stock level enabling smarter purchasing and vendor negotiations.
- Interactive dashboard that provides a day-to-day analysis of product stock levels.
- It highlights key metrics and offers actionable recommendations, helping you proactively manage inventory by identifying when to reorder, transfer, or reduce stock for optimal inventory control.
- This detailed view for each product, you can access comprehensive data.
- It enables better understanding of product movement and aids in making informed replenishment decisions.
- It provides graphical representations of forecasted demand for individual products.
- Products are categorized by their velocity — a measure of how fast they sell or move.
- Allowing targeted inventory strategies for fast-moving, moderate, or slow-moving items, improving overall stock efficiency.
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