Run your stores without watching every report
Storos monitors your Shopify operations 24/7 — across sales, refunds, discounts, inventory, and fulfillment — and flags problems before they get expensive.
Built for independent retailers running 1–20 Shopify POS locations.
Your scan analyzes your historical Shopify data and surfaces issues you may have missed — revenue drift, discount irregularities, refund patterns, stockout risk. Read-only access. No credit card.
See what needs attention across every store
Storos connects to your Shopify and keeps watch across every location. No setup beyond the connection. No workflows to configure.
Catch problems early.
Storos watches your sales patterns, discount activity, refund trends, inventory movement, and order fulfillment. When something breaks from the norm, you get an alert — specific to the location, with context on what it could cost you.
Know exactly where to act.
Every alert tells you the store, the issue, the severity, and a recommended next step. Not a vague notification — a real explanation you can act on or hand to your manager.
Ask follow-up questions instantly.
Need more context? Type a question and get an answer from your actual store data. "What changed at Store 2 this week?" "Are discounts higher than normal anywhere?" No reports to build.
What We Detect Today
The problems hiding in your stores right now
Storos is built to surface patterns that look small day to day, then become expensive over a month.
Revenue is quietly declining.
Sales at one location have been drifting down 5% week over week. No single day looked bad enough to flag — but over a month, that's thousands gone.
💰 A 5% weekly decline on a store doing $8K/week = $1,600/month within 4 weeks.
Bad sales day detection
Your store had a down day compared to what you normally do on that day of the week. A slow Tuesday when Tuesdays are usually your best day — that's a signal.
💰 A location underperforming by 15% on a $2,000/day baseline is $300 gone in one day.
Year-over-year decline
Sales down compared to the same period last year, adjusted for seasonality.
Cross-store underperformance
One store had significantly fewer orders or lower sales than your other locations on the same day.
Someone's over-discounting.
Discount depth jumped from your normal 15% to 40%. It's been happening for 3 days and nobody flagged it.
💰 Deep discounts on 20 orders at $150 AOV = $750 in a single day.
Discount rate spike
More orders than usual are getting discounts. Your team might be over-applying codes or running unauthorized promos.
💰 If discount rate doubles from 15% to 30% on 50 orders/day at $120 AOV, that's $900+ in extra markdowns.
Refunds are clustering suspiciously.
4 returns within 2 hours at the same register, same product category. Worth investigating now, not next month.
💰 Catching one $200 fraudulent return per week saves $10K/year.
Refund rate spike
Refund rate higher than baseline for this day of week — by dollar amount or count.
💰 Refunds spiking from 2% to 8% on a $3,000 day = $180 in unexpected returns.
Product-level refund concentration
One product driving an outsized share of returns. Could be quality, sizing, or a specific buyer pattern.
Your best seller is about to stock out.
Store #2 has a few days of supply left. Store #3 is sitting on surplus. A transfer fixes this today.
💰 Running out of a $50 product that sells 5/day = $250/day in lost sales.
Reorder window (7–14 days supply)
Time to place an order without going to zero.
Cross-store imbalance
One store nearly out, another has excess. A transfer solves it without a new PO.
Unexplained inventory drop
Units disappeared without a matching sale or restock record. Could be theft, miscounts, or receiving errors.
💰 Average retail shrink is 1.6% of sales. For a $1M/year store, that's $16,000.
Persistent inventory level shift
Inventory dropped and stayed down — a permanent shift, not a fluctuation.
Orders are piling up unfulfilled.
Multiple orders past 48 hours. That's customers about to leave bad reviews or file chargebacks.
💰 A chargeback costs $20–$100 in fees on top of the order value.
How it works
Connect your Shopify. Storos takes it from here.
Connect your store
One-click Shopify OAuth. Read-only access to sales, orders, inventory, customers, and products. We never modify your Shopify data.
Get your store scan
Storos syncs your historical data, then surfaces exceptions going back months — things that may have been costing you money without anyone noticing.
Daily monitoring starts
From here, Storos watches your stores every day. When something needs attention, you hear about it with full context. When things are fine, silence.
Need context beyond alerts? Type a question in plain English and get an answer from your actual store data.
Why Storos is different
Dashboards work when you have one store and time to check them
When you're running multiple locations with managers, inventory moving between stores, and a hundred things pulling your attention — dashboards break. Not because they're wrong, but because nobody has time to look at them every day across every store and catch the one thing that matters.
Storos does the watching. You get told what needs attention, when it needs it, and what to do. That's a different product than another set of charts.
Our Vision
Detection is where we start. Not where we stop.
Today, Storos catches the problems you'd otherwise find too late. But we're building something bigger.
Next: More data, clearer margin picture. Accounting integration (QuickBooks, Xero) for true margin per location — not just revenue, actual profit after costs. Storos goes from "something's wrong" to "here's what it's costing your bottom line."
After that: Action, not just alerts. With your approval, Storos starts handling operational work — suggesting reorders when stock is low, drafting transfer orders between stores, following up on unfulfilled orders. You review and approve. Storos handles the rest.
Workforce
Labor cost vs. revenue, sales per labor hour, overtime spikes, schedule gaps
Customer health
VIP spend slowdown, lapsed cohorts, repeat rate changes, concentration risk
Marketing ROI
ROAS deterioration, acquisition cost spikes, channel mix shifts
Financial
Gross margin compression, unexplained expense changes, cash flow pressure
Omnichannel
Online/offline inventory mismatch, ship-from-store issues
About Storos
Built by a store owner
I'm Eren. I spent 20 years in tech — including a company acquired by Box and three US patents — but Storos came from the five years I spent running my own store in Venice Beach.
I built this because I was tired of finding discount mistakes, stockouts, and slow declines after they'd already cost me money. I built the tool I wanted when I was running my own store.
Free during early access
Connect your Shopify, get your scan, and keep Storos watching from there. No credit card. No commitment. Shopify POS stores. Read-only access. Free during beta.
- ✓ Historical analysis of your store data — exceptions going back months
- ✓ Daily monitoring across sales, discounts, refunds, inventory, and fulfillment
- ✓ AI that answers questions about your store data in plain English
- ✓ Direct access to the founder for feedback and support
- ✓ Early-adopter pricing locked in before public launch
Frequently asked questions
What data does Storos access?
How long does setup take?
Which Shopify plans work?
Do I need Shopify POS, or does this work with online-only Shopify stores?
Is my data secure?
How does the free store scan work?
What if Storos doesn't find anything?
Can I use Storos with just one store?
How is this different from Shopify's analytics?
Will Storos slow down my store?
Do you integrate with anything else?
Is this a Shopify app?
What if I have feedback?
How much after beta?
Not ready yet? Stay in the loop.
Occasional updates on new capabilities and retail ops insights.
Your email address will never be shared. No spam.