AI Data Analysis Agent - Inventory Data Analysis Demo - WinningStrategy.ai Data Analysis Agent скачать в хорошем качестве

AI Data Analysis Agent - Inventory Data Analysis Demo - WinningStrategy.ai Data Analysis Agent

AI Data Analysis Agent for Inventory Data Analysis. Identify all the products currently below reorder threshold and rank them by financial impact using sales volume and unit price. Group these critical shortages by supplier and list the specific quantity needed to return to the safe stock. The video summarizes the functionality of a data analysis agent. This agent analyzes structured data by writing Python code to provide actionable business insights. Users can upload a CSV file or connect their own CRM or database to the agent. The video demonstrates the analysis of an inventory data file: Prompt: The user prompted the agent to identify products below their reorder threshold and group the shortages by supplier. Exploratory Data Analysis (EDA): An EDA agent runs first to understand the data's structure, variables, and the focus of the analysis. The output from the EDA, including data structure and columns, is then passed to the planning agent. Planning: The planning agent creates a detailed plan with tasks to complete the analysis. The tasks include: Identifying shortages and calculating metrics. Performing supplier hypothesis testing with the Chi-square product. Performing characteristic testing with ANOVA, aiming for a p-value less than 0.05 to ensure statistically significant results. Conducting statistical validation with charts. Providing actionable recommendations supported by numbers. The first executed task was "shortage identification and financial impact analysis". Code Execution: The AI agent writes and auto-executes Python code based on the planning agent's tasks, generating cell-wise output. One analysis cell indicated a "46% shortage rate with $4.3 million impact," suggesting a supply chain disruption rather than a demand issue. Report Generation: After the analysis is complete, the agent generates a report that provides more pinpointed business insights. The report includes: An executive summary that reveals a "significant concentration of risk in specific product categories and supplier relationships". Key highlights such as "shortage severity (46% of the inventory is below reorder level)," "risk concentration," and "supplier performance". Three strategic recommendations: expediting restockings, increasing reorder levels, and implementing a supplier performance monitoring system. An elongated version of the recommendations with a projected monetary impact, calculation breakdown, and key assumptions. An implementation road map and a measurement table. A section detailing the top five products requiring immediate restocking based on financial impact. A detailed findings section showing insights, visualizations, and business implications derived from the Python code cells. An appendix section listing the statistical methods used (Chi-square test, ANOVA) and the significance threshold of 0.05. It also highlights assumptions and data set limitations, such as the data representing a single point in time, meaning seasonal variations are not captured. Report Editing: The report can be edited upon request; for example, the agent can add charts to the executive summary.