High Tech — Demand Forecast Exposure via REST API

Overview

The 'Demand Forecast Exposure via REST API' DAG is designed to facilitate real-time access to demand forecasts for high-tech products. By leveraging a REST API, this workflow allows external systems to retrieve up-to-date forecasts that are continuously refreshed based on incoming data streams. The architecture consists of several key components: first, demand data is ingested from various sources, including ERP transaction logs, sales data, and market trends. This data undergoes a series of pro

The 'Demand Forecast Exposure via REST API' DAG is designed to facilitate real-time access to demand forecasts for high-tech products. By leveraging a REST API, this workflow allows external systems to retrieve up-to-date forecasts that are continuously refreshed based on incoming data streams. The architecture consists of several key components: first, demand data is ingested from various sources, including ERP transaction logs, sales data, and market trends. This data undergoes a series of processing steps that include data validation, transformation, and aggregation to ensure accuracy and relevance. Quality controls are implemented at each stage to monitor data integrity, with specific KPIs such as forecast accuracy and API response times being tracked to ensure optimal performance. The final output of this DAG includes structured forecast data that can be queried by users, providing insights into expected demand for specific products over defined timeframes. This capability not only enhances decision-making processes but also aligns inventory management and production planning with market needs, ultimately driving business value through improved operational efficiency and customer satisfaction.

Part of the Market & Trading Intelligence solution for the High Tech industry.

Use cases

• Enhanced decision-making through timely demand insights
• Improved inventory management aligned with forecasted demand
• Increased operational efficiency with automated data processing
• Strengthened data security through access controls
• Greater customer satisfaction from accurate product availability