Retail — Real-Time Promotion Impact Analysis and Management

Overview

The primary purpose of this DAG is to assess the effectiveness of promotional campaigns within the retail sector by analyzing their impact on sales and profitability in real-time. The data sources include ERP transaction logs, customer engagement metrics, and historical sales data. The ingestion pipeline collects this data and integrates it into a centralized dashboard for performance tracking. The processing steps begin with data ingestion, followed by data cleansing to ensure accuracy. Next,

The primary purpose of this DAG is to assess the effectiveness of promotional campaigns within the retail sector by analyzing their impact on sales and profitability in real-time. The data sources include ERP transaction logs, customer engagement metrics, and historical sales data. The ingestion pipeline collects this data and integrates it into a centralized dashboard for performance tracking. The processing steps begin with data ingestion, followed by data cleansing to ensure accuracy. Next, the DAG analyzes sales trends during promotional periods, comparing them to non-promotional periods to determine the true impact of each campaign. This analysis is complemented by calculating key performance indicators (KPIs) such as return on investment (ROI) for promotions and conversion rates. In case of underperformance, the DAG triggers a notification system to alert stakeholders and automatically initiates a review process to adjust the ongoing promotions. The outputs include detailed reports on promotional effectiveness, real-time dashboards for monitoring KPIs, and actionable insights for future campaigns. Monitoring is crucial, with KPIs tracked continuously to ensure that promotional strategies align with business objectives. The overall business value lies in maximizing profitability through informed decision-making, enhancing customer engagement, and ensuring compliance with governance standards in promotional practices.

Part of the Governance & Compliance solution for the Retail industry.

Use cases

• Increased profitability through optimized promotional strategies
• Enhanced customer engagement with targeted promotions
• Improved compliance with governance standards
• Data-driven decisions leading to better resource allocation
• Faster response to market changes and consumer behavior