Shopify AI Agent
How one operator runs all 6 of his Shopify stores from a single Telegram thread, after handing the daily admin to an AI Employee that never clocks out.
Rob F.
Multi-Store Shopify Operator
“Even with an assistant, we still get buried with monotonous tasks, checking store performance, when payouts are scheduled, address changes. The AI assistant Dojo Labs built handles basically all of that. It is all neatly stored in Telegram, daily reports, daily updates, and you can actually interact with it. And the founder was involved the whole time, not handed off to a middleman.”
Rob F.
Multi-Store Shopify Operator
Measurable Outcomes
that drive ROI.
6
Shopify stores, one Employee
24/7
Monitoring across every store
Daily
Reports + updates in Telegram
1 chat
Runs all 6 stores
By moving the daily admin onto an always-on AI Employee, Rob runs a multi-store Shopify portfolio with the overhead of a single shop, from one Telegram thread.
Client Overview
About Shopify AI Agent
Rob runs 6 Shopify stores across several different niches. Anyone who runs even one store knows the daily admin that comes with it, and Rob was carrying that load across all six at once.
Even after hiring an assistant, the team stayed buried in the same monotonous, repeating work: checking each store's performance, tracking when payouts were scheduled, and catching customer address changes before they turned into fulfillment problems.
The work was not hard. It was constant, spread across every store, every day, exactly the kind of load that quietly caps how many stores one operator can run well.
Industry
E-commerce / Shopify
Client
Rob, multi-store Shopify operator
Team
Owner + assistant, 6 stores
Engagement Type
AI Ops Assistant, build & integration
Status
In production. Running daily on Telegram.
The Problem
The Challenge
Even with an assistant on the team, the day still opened and closed with the same checklist, repeated for every store. Performance had to be pulled store by store. Payout timing had to be tracked so cash flow stayed predictable. Customer-side changes, like a shipping address edited after an order, had to be caught by hand before they became a re-ship or a refund.
Check each store's performance, one dashboard at a time
Track when payouts were scheduled across every store
Catch customer address changes before they caused fulfillment errors
Repeat the whole routine daily, for every store in the portfolio
Even a hired assistant stayed buried in the monotony
The Core Problem
Running multiple stores rarely fails on strategy. It fails on upkeep. The monotonous daily admin scales with every store you add, and hiring help does not remove it, it just shares it around. Rob did not need another dashboard to check. He needed a Employee that does the checking, watches every store at once, and surfaces only what actually needs his attention.
What We Built
Our Solution
We built an AI Employee that runs the daily operations of the whole store portfolio and reports into the one place Rob already lives: Telegram. It watches every store, surfaces what matters, and takes instruction back, so the admin happens whether or not anyone remembers to do it.
01. Store Monitoring & Daily Reports
The Employee checks every store on a schedule, performance, sales, and payout timing, and delivers a clean daily report straight to Telegram. No logging into a stack of dashboards to find out how the portfolio is doing.
Monitors performance and sales across every store
Tracks payout schedules so cash flow stays predictable
Delivers daily reports and updates into Telegram
One feed for the entire portfolio, no dashboard-hopping
02. Customer & Order Watch
The Employee watches the order and customer side for the small changes that quietly cause problems, like a shipping address edited after purchase, and flags them in time to act, before they become a re-ship or a refund.
Flags customer address changes on existing orders
Surfaces the routine exceptions that cause fulfillment errors
Catches issues early, while they are still cheap to fix
Keeps a human in the loop on anything that needs a decision
03. Two-Way Telegram Assistant
Reports are only half of it. Rob talks back to the Employee in Telegram, updates it, gives it new context, tells it what matters this week, so it adapts to how the business is actually running instead of staying a static script.
Interactive: send instructions and context back in chat
Update priorities and rules without touching code
Everything for every store, neatly organized in one thread
The assistant the team already had, but tireless
Tech Stack
Technologies Used
| Layer | Technology | Role |
|---|---|---|
| Integration | Shopify Admin API | Store, order, payout and customer data |
| Interface | Telegram Bot API | Reports, alerts, two-way commands |
| Backend API | Python / FastAPI | Service layer, routing, business logic |
| Scheduler | Scheduled Jobs / Task Queue | Daily reports and recurring monitoring |
| LLM (Reasoning) | Anthropic Claude | Natural-language commands, report summaries |
| Data Store | PostgreSQL | Per-store state, thresholds, history |
| Cloud | AWS | Hosting, scheduling, storage |
Why It Lives in Telegram
Most ops tools fail not because they cannot do the work, but because nobody opens them. A dashboard you have to remember to check is just another tab. So we put the Employee where Rob already spends his day, Telegram, and let the report come to him.
Because it is two-way, the Employee is not a static script. Rob updates it in plain language, new priorities, new rules, things to watch this week, and it adapts. The system bends to the business instead of the other way around.
And it runs unattended. The daily checks happen on schedule whether or not anyone remembers to trigger them, which is the entire point of handing the work to a Employee.
The Transformation
Before & After Dojo Labs
Before
Log into each store's dashboard, one by one
Track payout timing across stores by hand
Catch customer and address changes manually
Daily monotony that even an assistant could not escape
Admin load that grew with every new store
After
One daily report for the whole portfolio, in Telegram
Payout timing tracked automatically
Address and order changes flagged in time to act
Routine admin handled whether or not anyone remembers
Add a store without adding the busywork
Roadmap
What's Next
The system was built to grow with the portfolio. The natural next steps extend what the Employee already watches:
Add new stores to the same Telegram hub in minutes
Deeper alerts: inventory, refunds, and chargeback risk
Automated handling of the most common customer changes
Per-store performance trends and weekly rollups
Each addition extends the Employee Rob already runs, not a new tool to learn.
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