How This Workflow Works
This workflow analyzes historical inventory stockout data for various item categories and warehouses in the US from 2022 and 2023. It visualizes monthly stockout trends for selected warehouses and categories, and provides predictions for current month stockouts.
Key Features:
- Track and compare monthly stockout trends by warehouse and item category
- Identify locations or categories with recurring stockout issues
- Predict likely stockouts for the current month to support proactive planning
- Visualize stockout patterns for easier interpretation and reporting
Step-by-step:
1. Aggregate and Analyze Stockout Data:
The workflow groups historical stockout records by warehouse and item category, summarizing monthly trends and highlighting aggregate patterns. This step enables users to compare stockout frequencies across different locations and categories.
2. Enable Interactive Selection and Filtering:
Users can select specific warehouses and item categories to focus the analysis. The workflow dynamically filters the data based on these selections, ensuring that subsequent insights and predictions are relevant to the user's needs.
3. Predict Current Month Stockouts:
Using historical trends, the workflow applies a predictive model to estimate stockout counts for the current month. This helps users anticipate potential shortages and take preventive action.
4. Visualize and Share Insights:
The workflow generates clear visualizations, such as bar charts and line plots, to display stockout quantities and predictions. These visuals make it easier to spot patterns, communicate findings, and support decision-making.