AI Product Research Service
Research what to sell - demand, margin, competition and suppliers - in one comparable format.
$150–$6,000+
$0–$200
4–12 hrs/week
2–6 weeks
5.5 / 10
High
AI tools you'd use
Overview
Sellers routinely pick products from trend lists and only discover the real margin after ordering stock — the genuinely useful work here is the disqualifying research (regulation, landed cost, actual return rates) that nobody enjoys doing but that prevents an expensive mistake before it happens. AI (Perplexity, ChatGPT, Claude) accelerates gathering that comparable data across demand, margin, competition and suppliers. Sold per project or on retainer to ecommerce sellers and product managers choosing what to stock next.
Why it works
Sellers pick products from trend lists and discover the margin only after ordering, and the useful work is the disqualifying research - regulation, landed cost, returns - which nobody enjoys doing.
How it makes money
Per deliverable + retainer
How to start
- Pick a category you can evaluate: weight, fragility, regulation and margin all matter.
- Define the screen before searching - target margin, competition ceiling, shipping constraints.
- Pull demand signals from marketplace data rather than trend articles.
- Read the one- and two-star reviews of the incumbents; that is where the product gap is.
- Check regulatory requirements early - certification kills more product ideas than competition.
- Get real supplier quotes at real volumes instead of catalogue prices.
- Build the landed cost including freight, duty, platform fees and returns.
- Present three candidates with the numbers shown, not one recommendation.
- State plainly what you could not verify.
- Charge a fixed fee per research package.
- Offer a supplier-vetting add-on as a separate engagement.
Tags
- ecommerce-research
- ecommerce-sellers
- per-report
- perplexity
Last verified 2026-08-21
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