I have been building an app for the past 2 months to help shopify owners to get an insight about the stock they hold , like how much of worth dead stock they been sitting on whats tied upto cash .
Honestly no idea how to get a real users would appreciate some insights .
This past month I've been developing a Shopify analytics tool, and something that caught my attention when analyzing a few different shops was:
The most common problems were not related to traffic or advertising at all.
They were buried in the shop's data where the owner never saw it before.
Just a couple of examples:
Products being stuck for 90+ days with money tied up
Repeat return patterns that were not apparent at first sight
Competitors having always lower prices on important products
Missing product page seo/meta optimization
In one particular shop there was a significant amount of cash that was invested in inventory products that they thought were selling.
Another one found out there was only a small group of people causing most refunds due to repeated returns.
What shocked me the most was that those insights came from existing data which were not clear enough to see action.
It's interesting what others from Shopify owners have discovered in their shops' data here.
Looking for 5–10 Shopify store owners who want to run a free scan on their store. No payment, no trial, no card — just install and see what comes back.
Built a tool called ShopIQ that connects to your Shopify store and tells you how much cash is sitting in dead inventory, which products are getting returned repeatedly, where your SEO is broken, and whether competitors are undercutting your prices.
Takes about 2 minutes. You keep the results either way.
If you run a Shopify store and want to see your numbers:https://shopiq-iota.vercel.app
Founder here.
Our Shopify app began as a wide-ranging store intelligence dashboard. However, as I think about our positioning, I feel like it might be too broad for our early customers.
It includes:
Product SEO/content audits
Identifying dead stock
Out-of-stock prediction
Tracking return patterns
Competitor price tracking
AI product description rewrites
AI customer review responses
The thinking was that Shopify users would have to use several applications for all of this information, so it made sense to bundle them into a single dashboard.
However, the issue is that "complete store intelligence" may be too vague.
While a store owner does not necessarily need a dashboard, they may need:
“What products are tying up my money?”
“What product pages are damaging my SEO?”
“What products keep getting returned?”
“Are my prices higher than my competitors’?”
“Can I rewrite poor product descriptions faster?”
Therefore, we are contemplating targeting only one wedge of the market initially and then expanding afterward.
Current considerations:
Dead stock and inventory cash report
Product SEO/content audit
Competitor price gap monitoring
Return abuse and high return rate products
Been talking to a lot of store owners lately and noticed something:
Most decisions are made on gut feel, not actual data.
Not because people don’t care — but because analytics setups are messy and expensive.
So I built a simple scanner to see what’s actually going wrong.
What came up:
SEO issues were easy fixes.
The real problem was cash stuck in inventory + hidden return patterns.
Curious — what’s the most surprising thing you’ve found in your store data?
I’ve been auditing a few stores recently and some of the patterns surprised me:
Feels like a lot of issues don’t show up until you really dig.
Curious what others have seen.
After talking to a bunch of Shopify store owners, I noticed the same pattern: they were making decisions on gut feel because setting up proper analytics takes too long and
costs too much.
So I built ShopIQ — an all-in-one intelligence layer for Shopify stores.
The 6 things it does:
Store Audit — finds product listing issues (missing SEO, no descriptions, broken images) and ranks them by impact
PricePulse — monitors Google Shopping daily and tells you if you're priced above or below competitors for each product
ReturnRadar — calculates return rates per product and flags customers with suspicious return patterns
StockSense — forecasts stockouts and identifies dead inventory tying up your cash
ReviewReply — AI-drafted responses to customer reviews (you approve before posting)
BulkCopy — rewrites product descriptions with AI in bulk
What I've seen in early testing:
- One store found 40% of their products had no meta descriptions
- Another found a customer who had returned 8 orders in 6 months across different email addresses
- A third found a competitor consistently pricing 12% lower on their best sellers
We're currently in Shopify's app review process. In the meantime I'm onboarding stores directly.
Free plan available. If you want to try it: reply with your .myshopify.com domain or DM me.
Happy to answer questions about how it works.
