Operations Manager
You opened Shopify this morning. Checked orders. Glanced at revenue. Scrolled through inventory. Looked at returns.
Thirty minutes gone. And you still don't really know what's going on.
Freddy does that in the background. Every day.
Freddy has four specialist agents. They run every morning before you wake up.
One watches revenue. One watches inventory. One watches fulfillment. One watches returns.
They pull data directly from your Shopify store — orders, line items, inventory levels, refunds, fulfillment timelines. Then they compare today to yesterday, this week to last week.
If something looks off, they don't just flag it. They investigate deeper on their own.
Then Freddy writes you a report. In plain English.
What you wake up to
Wednesday, January 29
Revenue: $4,847 — up 51% from yesterday's $3,200.
AOV jumped to $89. 54 orders total. Your best day this week.
Your "Mountain Jacket - Navy" is trending.
Selling 4x faster than last week. 18 units moved in 7 days.
At current demand, you have about 6 days of stock left.
Might want to reorder.
The "Vintage Tee - Cream" hasn't sold a single unit in 30 days.
47 units sitting in inventory. That's $1,410 doing nothing.
3 orders have been sitting unfulfilled for over 48 hours.
#4821 and #4833 are 3 days old. #4809 is 5 days old.
I checked the timeline — no staff notes on any of them.
Returns: The "Slim Fit Chinos" has been returned 4 times this week.
All four list "sizing" as the reason.
Third week in a row — might be worth updating the size guide.
That's your morning. Talk tomorrow.
— Freddy
Every number in that report came from your actual Shopify data. Orders, line items, inventory levels, refund reasons, fulfillment timelines.
Freddy doesn't guess. It reads.
01
Freddy pulls every order from the last 24 hours. Calculates total revenue, average order value, and ranks your top products by what actually sold.
Then it compares to the previous period. If a product is selling 1.5x faster than last week, Freddy flags it as trending. If revenue dipped, you'll see it alongside your top products and daily breakdown — so you can spot what changed.
It also tracks discount code usage — which codes are being used, how often, and how much they're costing you.
You don't read a chart. You read a sentence that says "revenue is up 51% — the Mountain Jacket sold 18 units, 4x its weekly average."
02
Freddy calculates daily demand and days-of-supply for every product. Not just "how many do you have" — but "at this sell rate, when do you run out."
Under 7 days of supply? That's critical. Under 14? Approaching low. Zero sales in 30 days? Dead stock — and Freddy tells you exactly how much capital is tied up in it.
Stockout risk
"Mountain Jacket - Navy: daily demand is 2.6 units. 16 left. 6 days of supply."
Dead stock
"Linen Shorts - Beige: 0 sales in 30 days. 62 units sitting. $1,860 tied up."
If Freddy spots something critical, it can drill into live inventory across all your locations — available and on-hand stock per variant.
03
Freddy measures the time from order placed to first shipment. Average hours to ship, slowest orders, and a full backlog sweep of anything unfulfilled past 48 hours.
It groups the backlog by age — how many orders are 2-3 days old, 3-7 days, 7-14 days. So you can see if it's getting worse.
If an order looks stuck, Freddy checks the timeline — staff notes, fulfillment events, status changes. If an order is partially fulfilled because one item is held up, you'll see exactly which part is waiting.
Before a customer emails asking "where's my order," you already know.
04
One return is a return. Four returns of the same product with the same reason is a pattern.
Freddy pulls every refund and return from the period. Groups them by product. Reads the return reasons and customer notes. Ranks the top offenders.
"Slim Fit Chinos — 4 returns this week, all cite sizing." That's not a refund problem. That's a product listing problem. And now you know.
05
Most analytics tools run a query, show you a number, and call it a day.
Freddy works in phases. First it runs all four agents to get the baseline. Then it reviews the results. If something looks wrong — a revenue drop, a fulfillment spike, a return pattern — it sends the relevant agent back in with a specific question.
Revenue looks off? The revenue agent re-runs with a tighter window to isolate the day it shifted.
Orders stuck for days? The fulfillment agent pulls their timelines to check for staff notes or status changes.
Return spike? The returns agent digs into the reason codes and groups them by product.
By the time you read the report, the follow-up questions have already been asked and answered.
Right now, Freddy watches your store — revenue, inventory, fulfillment, returns.
Soon, it'll watch your ads too.
Google Ads. Facebook Ads. Same approach — not dashboards, but actual analysis.
ROAS only sees the ad. Freddy sees the business behind it.