"Inventory analysis" refers to the process of analyzing inventory data to identify insights, patterns, and trends, and to support decision-making for inventory management. This process involves using various statistical methods, visualizations, and reporting techniques to extract and interpret information from the available inventory data.
Typical functions of software in the field of "inventory analysis" include:
Data visualization: Creating charts, graphs, and dashboards to visually represent inventory data and their relationships.
Reporting: Generating detailed reports on various aspects of inventory, including inventory values, stock movements, shortages, and inventory turnover.
Trend analysis: Identifying long-term trends and patterns in inventory behavior to predict future developments and support planning decisions.
Inventory valuation: Assessing the current inventory value based on various criteria such as cost, selling prices, or market values.
Inventory optimization: Identifying opportunities to improve inventory efficiency and costs by analyzing stock movements and patterns.
Custom analysis: Ability to perform custom analyses and queries to investigate specific questions or hypotheses.
