Data Ingestion AI
- TDCM sp. z o.o.
- Mar 13
- 1 min read
Updated: Apr 10
Brief Overview:
Data Ingestion AI automates the collection, transformation, and structuring of raw data from diverse sources, enabling businesses to gain real-time insights and streamline analytics.
Use Cases:
Market Intelligence Gathering – Extracts competitor pricing and product details from websites.
Financial Data Aggregation – Collects stock market trends and financial reports.
Customer Review Monitoring – Analyzes sentiment from online reviews and social media.
Key Features:
Multi-Source Data Extraction – Gathers data from APIs, websites, databases, and PDFs.
Automated Cleaning & Structuring – Normalizes inconsistent data formats for analytics.
Real-Time & Scheduled Data Mining – Continuously updates datasets for up-to-date insights.
Example Implementation:
A retail brand integrates Data Ingestion AI to monitor competitors’ product prices daily. The AI extracts pricing data from e-commerce platforms, allowing dynamic pricing adjustments that increase sales by 15%.
