EMS LinkedIn Content Agent
End-to-end LinkedIn content engine for manufacturing and supply chain brands.
Overview
Built a full-stack LinkedIn Content Management System tailored for an EMS manufacturing software platform, designed to transform technical product data, RFQ workflows, and supply chain insights into structured, high-quality LinkedIn content.
The challenge
No scalable system to convert highly technical manufacturing, quoting, and supply chain data into consistent, high-quality LinkedIn content. Content creation required manual effort, lacked consistency across profiles, and failed to translate complex EMS concepts into clear, engaging narratives.
The approach
Full-stack LinkedIn CMS that turns technical manufacturing data into structured posts. The system combines: 1) Knowledge ingestion from product docs, BOM workflows, transcripts, and industry sources 2) AI content grounded in internal data + live research 3) Multi-layer quality control with automated scoring and rewriting 4) Scheduling and publishing across profiles.
The results
- ✓Fully automated content pipeline from technical source material to scheduled posts
- ✓Multi-profile content generation (Personal + Company profiles)
- ✓8 structured content pillars per profile for strategic coverage
- ✓Built-in AI quality control layer (auto scoring + rewriting)
- ✓Live industry research integration per generation cycle
- ✓Auto-image generation aligned to brand and technical context
- ✓End-to-end workflow: Ingest → Generate → Review → Schedule → Publish
- ✓Configurable post output per profile per cycle
System snapshots
Let's map the system that moves your number.
Twenty-minute discovery call. We map the agent, the metric it moves, and what shipping it would actually cost.
Book a discovery call ↗