Daily visibility
Morning operator briefing
Sales, ads, support, refunds, and low-stock SKUs in one Slack or email brief, with where to look first.
Learn moreCustom Shopify automation
We show you exactly what to automate, backed by projected results, and then build it for you.
Trusted by ecommerce and growth teams





The big one
Pick the one that costs you the most hours.
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 moreDrop your email and I'll have your answers on hand if you'd rather keep browsing before you book.
Your setup
Proof
Map the manual process, build the system, measure the operating gain. Where client details stay private, the pattern still holds.
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
Scale
Volume changes which automation pays for itself first.
How it works
Automation fails when tools get connected before the logic is clear. The sprint makes the decisions visible first.
Last one

Ecommerce data, automation, and AI systems.
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.
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.
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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.