Stock Count
The data model provides insights into stock quantities through various views, including Stock Counts, Stock Count by Location, Stock Count by Product, Stock Count Trend, Stock Count Discrepancies, Stock Count Aging, and Stock Count Forecast. The measures Contenant Quantité and UC Quantité are utilized to measure the quantity of items in containers/packaging and individual product units respectively, enabling analysis of current stock levels, discrepancies, aging, and forecasting future stock levels based on demand patterns and historical data.
Benefits of This Data Model
- Holistic Inventory Analysis: The data model allows for comprehensive insights into stock quantities at various levels such as by location, product, trends, discrepancies, aging, and forecasts, aiding in strategic decision-making.
- Efficient Stock Management: By utilizing dimensions such as Article Code, Magasin Nom, Entrée Date, and Lot combined with measures Contenant Quantité and UC Quantité, businesses can streamline stock management processes, ensuring optimal inventory levels and reducing stockouts or overstock situations.
- Enhanced Decision-making: Through dimensions like Article Famille, Article Risque, Matériel dangereux Transport, and Stockage Type, organizations can make informed decisions regarding stock prioritization, risk assessment, transportation requirements, and storage strategies, leading to improved operational efficiency.
- Accurate Stock Forecasting: Leveraging historical data and measures like Contenant Quantité and UC Quantité, the model facilitates accurate forecasting of future stock levels, enabling businesses to align their supply chain activities with anticipated demand patterns, ultimately enhancing overall inventory planning and management.
- Identifying Stock Discrepancies: The model assists in identifying discrepancies between expected and actual stock quantities through measures like Contenant Quantité and UC Quantité, allowing for prompt investigation and resolution of stock variances to maintain data accuracy and operational integrity.
Key Performance Indicators (KPIs)
- Contenant Quantité: This measure represents the quantity of items in a container or packaging.
- UC Quantité: This measure represents the quantity of individual units or products.
Available Visualizations
| View Name | Description |
|---|---|
| Stock Counts | Provides insight into the current quantity of stock for each item in inventory. |
| Stock Count by Location | Displays stock levels categorized by different warehouse or store locations. |
| Stock Count by Product | Offers a breakdown of inventory quantities for individual products or items in stock. |
| Stock Count Trend | Illustrates the historical fluctuations in stock levels over a specified period of time. |
| Stock Count Discrepancies | Identifies and investigates inconsistencies between expected and actual stock quantities. |
| Stock Count Aging | Analyzes the age distribution of inventory to prioritize items for restocking or clearance. |
| Stock Count Forecast | Predicts future stock levels based on historical data and anticipated demand patterns. |