u/Electrical-Bus5079

Freight forwarder orders. Real payment info, real billing address, real email, ships to a warehouse address that looks completely normal. You fulfill it, it clears, then 3 to 6 weeks later the chargeback hits and you have nothing to dispute it with because everything looked clean at the time.

Curious how many people here have been hit by this specific pattern and how you eventually figured out what was happening. Did Shopify flag any of it or did you only connect the dots after multiple losses?

Been talking to a lot of store owners lately and the numbers are wild. Some people are losing 3 to 5% of monthly revenue to chargebacks and just treating it as cost of doing business. Others have systems that catch most of it before it ships. Curious where everyone lands. Are you catching fraudulent orders before fulfillment or finding out after the damage is done? And what are you actually using to screen them?

Built this solo over 3 months as a 20 year old student and just launched.

The problem it solves: Shopify store owners lose money on fraudulent orders because stolen cards, fake addresses, and freight forwarder orders look completely legitimate at checkout. By the time the chargeback hits the product is already gone.

What it does: scores every incoming Shopify order across 20+ risk signals using AI before it ships. High risk orders trigger an instant email alert so merchants can hold or cancel before fulfillment. No manual review needed.

Features: one click Shopify OAuth install, AI risk scoring via the Anthropic API, real time dashboard showing all orders and risk breakdowns, instant email alerts, free tier available.

Stack: Node.js on Railway, Supabase, Stripe, Next.js on Vercel.

Looking for feedback from other builders and if you run a Shopify store I am giving free access in exchange for honest feedback.

I'm a junior at UGA and over the last 3 months I built RefundRadar completely by myself.

The problem I noticed: Shopify store owners keep losing money on fraudulent orders because they look identical to real ones at checkout. Stolen cards, fake addresses, freight forwarders. By the time you find out you've already shipped and eaten the loss.

What I built: AI powered order risk scoring that analyzes every Shopify order across 20+ signals before it ships. Instant email alerts on high risk orders. One click install via Shopify OAuth.

Stack: Node.js on Railway, Shopify OAuth, Anthropic API, Supabase, Stripe, Next.js on Vercel.

The build took 3 months. Getting the first paying customer is proving harder than the entire build.

I've been doing cold DMs on X, posting in Reddit communities, applied to AppSumo, and reaching out to ecom influencers about affiliate deals. Getting conversations but no conversions yet.

For anyone who has been through this stage what actually moved the needle for you? And if you run a Shopify store I'm giving free access in exchange for honest feedback.

Building a tool to help with this and trying to understand where the pain actually hits.

For context I'm talking about stolen cards, fake addresses, serial chargebacks and freight forwarder orders that look completely legitimate at checkout but end up costing you the product and the shipping.

For those of you doing 100+ orders a day what percentage would you estimate are fraudulent and how are you currently catching them before you ship? Manual review, Shopify's built in risk score, a third party tool, or just eating the losses after the fact?

Genuinely curious because the answers vary a lot depending on the niche and traffic source.

I'm a 20 year old student and I built RefundRadar over the last few months completely solo.

The problem I'm solving: Shopify store owners lose money on fraudulent orders because they look identical to real ones at checkout. By the time the chargeback hits they've already shipped the product and eaten the cost.

What I built: an AI powered risk scoring tool that analyzes every incoming Shopify order across 20+ signals before it ships. High risk orders trigger an instant email alert so the merchant can hold or cancel before fulfillment.

Tech stack: Node.js backend on Railway, Shopify OAuth, Anthropic API for AI scoring, Supabase for the database, Stripe for billing, Next.js dashboard on Vercel.

Free tier available, one click Shopify install, took about 3 months to build end to end.

Now comes the hard part, getting users. If you run a Shopify store I will give you free access in exchange for honest feedback. And if anyone has gone through a similar launch I'd love to hear what actually moved the needle for you.

After seeing too many Shopify store owners post about eating chargeback losses after the fact, I built RefundRadar.

The core problem: fraudulent orders look identical to real ones at the time of purchase. Stolen cards, fake addresses, freight forwarders, serial refund abusers, and by the time you find out, you've already shipped and lost the margin.

What it does: scores every incoming order across 20+ risk signals using AI before it goes out. Flags high risk orders instantly via email so you can hold or cancel before fulfillment.

Built it with Node.js, Shopify OAuth, and the Anthropic API. One click install from Shopify.

Still early stage and looking for Shopify store owners to try it free in exchange for feedback. If that's you drop a comment or DM me.

Happy to answer any questions about the build too.