Nebula Streams

Ingest transaction data from various sources (e.g., payment gateways, bank APIs).

Apply real-time transformations to extract relevant features (e.g., transaction amount, location, time of day).

Route data to a fraud detection AI agent for scoring.

Trigger alerts and block suspicious transactions based on the AI agent's output.

Collect user browsing data from website and mobile app.

Transform the data to identify user preferences and product attributes.

Route the data to a recommendation AI agent for personalized suggestions.

Display real-time recommendations on the website/app interface.

Collect sensor data from industrial equipment.

Transform the data to extract relevant features (e.g., temperature, pressure, vibration).

Route data to a predictive maintenance AI agent for failure prediction.

Schedule maintenance activities based on the AI agent's output.

Ingest data from e-commerce platform, competitor websites, and inventory management system.

Transform data to calculate demand, competitor pricing, and inventory levels.

Route data to a dynamic pricing AI agent for price optimization.

Update product prices on the e-commerce platform in real-time.

Collect customer feedback data from social media platforms and survey responses.

Transform the data to clean and extract sentiment scores.

Route the data to a sentiment analysis AI agent.

Visualize the sentiment analysis results on a real-time dashboard.

Ingest data from various sources: sales data, inventory levels, logistics tracking.

Transform the data to create features for demand forecasting and logistics optimization.

Route data to an AI agent for supply chain optimization.

Implement recommendations for inventory management and logistics in real-time.