AI Automation and MCP Guides for Ecommerce Teams: Call Scoring, Briefs, Monitors and Connecting Your Data to Claude
Everything here is about AI doing real work inside an ecommerce business: scoring calls, briefing agents, watching ad accounts, writing the Monday report, and letting the team ask their own data questions in plain English. None of it is customer facing, which is the point. Written by Nikhil Sharma, who builds and runs these systems for a DTC brand and builds them for other ecommerce teams.
Where to start
- Which task to automate first: a one page scoring method for Shopify teams
- The most useful AI I built wasn’t customer facing: why the internal tools paid off and the chatbot did not
- Six AI workflows I run on a Shopify store, and what broke: the model is ten percent of the work
- Best AI tools for Shopify, by the job: what stayed after a year, and what got dropped
Built and running
- Call analytics automated with Gemini: every call scored, the model choice, and what it costs per call
- AI pre-call briefing for support agents: the brief, the plumbing, and what the recording settles
- Free AI Meta ads monitor: Google Sheets, Gemini and NotebookLM
- Automate the Shopify weekly report: one row a week, three sentences
- AI customer support for Shopify: what to automate and what to leave human
- Business calls showing Spam Likely?: the fix, because no analysis helps a call nobody answers
MCP: connecting your data to Claude and ChatGPT
- What is an MCP server?: a plain explanation for store owners
- Connect Shopify to Claude or ChatGPT: what works today, and what to ask Sidekick first
- Connect GA4 to Claude: the official MCP server, step by step
- Connect Google Ads to Claude: the official server and the token you wait on
- Klaviyo MCP server: ask your email account questions in plain English
- Connecting a POS to ChatGPT: what a read only sales server can answer
The longer version
- AI Workflows for Shopify, the book: how a tiny team runs a big store, told as a story
Want one of these built for your team
AI automation for ecommerce
Scoped on a call: the task, the systems it touches, what it costs to run, and who checks it.
Want to try it yourself first
The free guides above
The Meta monitor and the weekly report are built in a sheet with no code to host. Start there.
Frequently asked questions
Which task should an ecommerce team automate first?
The one somebody does by hand many times a week, from inputs that already live in a system, where a wrong answer gets caught by a person. The one page method post scores tasks on exactly that and the call recordings usually win.
What is an MCP server, in plain terms?
A small program that lets an assistant like Claude or ChatGPT ask one of your systems a question and get the number back. Read only is the safe default. The plain explanation post and the Shopify, GA4, Google Ads and Klaviyo guides cover each one.
Which model should I use for an internal tool?
Decide by how often it runs, how bad a wrong answer is, whether you parse the output and what the latency budget is. The AI workflows post has the four questions; the call analysis post has the cost arithmetic per call across Gemini, Claude and OpenAI.