Tom Adomeit

E-commerce company wanted to identify new social media trends for product ideas daily.

Previous process: manually browsing social media feeds.

Time-consuming, unstructured, not scalable.

Solution: AI agent that automatically scrapes social media data with Apify, analyzes it with Claude (Anthropic), and delivers a structured report daily with the most promising product trends + reasoning. No manual intervention required.

Result: Daily product insights report without personnel costs. Research time reduced from several hours to zero. Project successfully completed (Upwork).

Industrystock spent several hours daily manually researching, qualifying, and contacting LinkedIn connections — a process with no possibility of scaling.

Solution: Fully automated LinkedIn outreach system based on a custom-developed desktop application + Unipile API. The system automatically researches, filters, and contacts relevant target customers according to defined criteria. Operated GDPR-compliant on own servers.

Result: Outreach capacity increased 10-fold. Manual working time for this process: almost zero. The team now focuses on actual conversations instead of the research process.

At Industry Stock, I develop automated systems that make core processes in sales and operations measurably more efficient. Through targeted use of AI, interface automation, and lean workflows, I reduce manual tasks, lower error rates, and accelerate processing times. My focus is on first analyzing existing workflows, identifying bottlenecks, and then implementing pragmatic, scalable solutions that truly save the team time in their daily business.