Industry: Marketing / Social Media
Built for marketing teams to monitor, classify, and report on high volumes of Instagram content without manual sorting.
Problem
The manual analysis of high-volume social media content led to significant operational bottlenecks and inconsistent reporting.
- Processing Volume: Difficulty in manually tracking thousands of posts across multiple accounts.
- Classification Challenges: Identifying and tagging content types (e.g., promotional, UGC, educational) was slow and subjective.
- Information Silos: Data lived in the platform rather than in the communication tools used by the team.
Solution
The system automates the extraction and tagging of data to deliver structured insights directly to existing team workflows.
- Data Extraction: Automated scraping of Instagram posts, captions, and metrics.
- AI Classification: LLM integration to automatically identify and label post categories.
- Instant Alerts: API integration with Slack to deliver real-time updates on new content.
- Live Reporting: Automated export to online spreadsheets for continuous data synchronization.
Tech Stack
- Data Retrieval: Instagram Scraper.
- AI Logic: LLMs for text and content classification.
- Communication: Slack API.
- Storage: Online Excel / Google Sheets API.
Results
- Automation: Eliminated manual data entry and content tagging.
- Structured Data: Transformed raw social posts into organized, searchable spreadsheets.
- Speed to Insight: Marketing teams can view classified trends instantly rather than waiting for weekly manual reports.
- Centralized Access: Improved team collaboration by pushing data to Slack and shared documents.