Custom Shopify automation
I map the workflow, connect your existing tools, and ship the dashboard, alert, or AI agent your ecommerce team actually uses.
Ops command center
Revenue
$84,920
+12.4%
Open tickets
37
-41%
Low-stock SKUs
8
needs PO
Blended ROAS
2.84x
stable
Send low-stock Slack alert for 8 SKUs below cover target.
Summarize unresolved shipping questions from support.
Flag Meta CPA spike on the prospecting campaign.
AI recommendation
Shipping questions rose after the weekend sale. Add a proactive delivery-status block to the post-purchase flow.
Trusted by ecommerce and growth teams
Two ways to start
If a product already solves the problem, use it. If your data, rules, and edge cases are specific, we build custom.
Start lighter
If a product already solves the job, start there. It is faster and cheaper than scoping a custom build.
Go custom
When the workflow depends on your tools, data, and team rules, we map it first and build it into your stack.
Ready-made tools
Some automation jobs show up across many Shopify stores. Those should not need a custom project every time.
One morning readout from Shopify, Triple Whale, and Klaviyo: sales, orders, ads, email, and anything worth a look.
SKU-level stockout risk from sales velocity and inventory, so you reorder before best sellers run out.
An AI agent that answers repeat customer questions using your products, policies, and order context, escalating only what needs a human.
What we automate
If someone opens five tabs every morning to decide what needs attention, that is the first thing worth automating.
Daily visibility
Sales, ads, support, refunds, and low-stock SKUs in one Slack or email brief, with where to look first.
Learn moreSupport leverage
Route repeat questions, draft replies, and escalate only the cases that truly need a human.
Learn moreOps protection
Catch low stock, stuck orders, and replenishment risk before anyone notices it by hand.
Learn moreMarketing rhythm
Meta, Google, and TikTok data turned into plain-English takeaways and budget questions.
Learn moreProfit clarity
Revenue, costs, refunds, fees, and ad spend in one view so you see what is actually profitable.
Learn moreBrand signals
Track reviews, engagement, and customer themes without checking each platform manually.
Learn moreProof
Map the manual process, build the system, measure the operating gain. Where client details stay private, the pattern still holds.
75%
support workload cut
Problem: A growing team spent ~40 hours a week on repeat questions and order-status checks.
Build: An AI support workflow built around products, policies, order context, and escalation rules.
Result: Manual support dropped from ~40 hours a week to under 10, with faster, context-aware answers.
1
operating view
Problem: Founder reporting was scattered across orders, exports, spreadsheets, ads, and fulfillment.
Build: The key sources were connected into one practical operating dashboard the team could trust.
Result: No more rebuilding reports by hand, and a clearer view of performance, margin, and exceptions.
Weekly
decision rhythm
Problem: Campaign reviews were inconsistent, and big changes in spend and CPA were easy to miss.
Build: A recurring report that summarized channel changes, flagged anomalies, and suggested next actions.
Result: A repeatable review rhythm that made performance changes faster to understand and act on.
“Zeyad helped me streamline our data operations and apply automations across the board. Marketing, ads, inventory management, and clear insights on top of it. Everything runs cleaner now.”
Karter Zaher
Founder, Muzzy
“I went through dozens of proposals before finding Zeyad. He delivered exactly what I needed in less time than I expected. Clear insights, fast turnaround, and honest pricing. If you're looking for someone to make sense of your ecom data, look no further.”
Jeff Oxford
Founder, 180 Marketing
“For our B2B side, we had multiple sales dashboards that needed to be connected. An agency told us it couldn't be done. Zeyad finished it fast, it actually worked, and he was easy to work with the whole way through.”
Bob Shymkiw
B2B Lead, Pedal Commander
How it works
Automation fails when tools get connected before the logic is clear. The sprint makes the decisions visible first.
We pin down the repetitive work, the tools involved, who relies on it, and the edge cases.
One practical dashboard, alert, report, or AI workflow, connected inside your existing stack.
Checked against your actual orders, tickets, campaigns, and SKUs, not a clean demo.
You get documentation, ownership, and a refinement window after the team uses it.
Who builds it
I have worked close to the daily operating layer of ecommerce teams: support queues, ad reviews, finance reports, inventory checks. The work is not about connecting random tools. It is about turning repeated decisions into a system your team can trust.
FAQ
Start with the SaaS tool when your problem matches what the product already does. Book the free automation audit when your workflow depends on your specific tools, team rules, data sources, edge cases, or operating decisions.
We walk through your tools, the work your team repeats, the reports or alerts you wish existed, and the first workflow worth automating. You leave with a concrete recommendation even if we do not work together.
The audit is free. Build pricing is scoped after the workflow is mapped because tool access, edge cases, and data quality change the work. Small single-workflow builds are typically scoped as fixed projects; larger multi-system builds are phased so the first useful version ships before the whole roadmap is attempted.
See what drives automation pricingOnly the access needed for the agreed workflow. Read-only credentials are used where possible, and owner-controlled accounts are preferred for API keys, automation platforms, dashboards, and alert destinations. Logic, triggers, and failure points are documented, not handed off as a black box.
You do. The workflow is built around your accounts and documented so your team can understand the triggers, logic, data sources, and failure points.
Shopify, Klaviyo, Gorgias, Judge.me, Triple Whale, QuickBooks, Meta Ads, Google Ads, TikTok Shop, Slack, Notion, Google Sheets, n8n, Make, OpenAI, Claude, Gemini, Streamlit, and most tools with an API, webhook, export, or database connection.
A first useful version is usually 2-4 weeks once scope and access are clear. Smaller automations can move faster. Larger systems should launch in phases so the team gets value before every edge case is solved.
Then the recommendation should say that. Some problems need process cleanup, better source data, or a purchased tool before custom automation makes sense. The goal is operating leverage, not automation for its own sake.
Get started
We look at the repeated work, the tools involved, and the output your team needs. If a SaaS product is the better answer, I will say so.
Prefer to start lighter? Try Daily Briefing
Usually replying within a few hours.
