TrendTune
AI-powered trend intelligence and automation platform for e-commerce brands. Tells you what to promote, restock, reposition, or launch.
Problem
E-commerce founders are drowning in dashboards, reviews, and trend reports. The hard part isn't the data — it's deciding what to do next.
My Role
Founder, full-stack & AI engineer.
What I Built
An end-to-end SaaS that ingests Shopify data, scrapes external trend signals, runs AI agents over reviews and SKUs, then surfaces goal-based recommendations as natural-language reports.
Key Features
- Trend detection across social + market signals
- SKU relevance matching
- Review intelligence
- Shopify product import
- AI-generated reports
- Campaign recommendations
- Goal-based business recommendations
Technical Details
Firebase Functions orchestrate agent workflows. Firestore stores tenant + product data. OpenAI handles classification and report generation. Shopify imports run as queued jobs.
Hardest Challenge
Designing AI workflows that produce *useful* recommendations grounded in a tenant's real catalog rather than generic 'do better marketing' fluff.
Outcome / Result
Live SaaS used by early e-commerce customers; solved the 'so what do I do?' gap that dashboards leave behind.
Learnings
AI products win or lose on the prompt-data-context boundary. Most of the work is making the agent see the right slice of the business.
How it works
TrendTune connects to a brand's Shopify catalog, ingests reviews and social signals, then asks: given your current goal, what should you do next?
- Connect Shopify → import SKUs and reviews
- Trend engine scans external signals
- Agents match trends to your real catalog
- Reports are generated weekly + on-demand