Emma Skills: How to Automate Recurring Amazon Analysis
Amazon teams repeat the same analyses every week. Performance summaries, inventory checks, advertising reviews. Someone pulls the numbers, builds the report, sends it. The following Monday, it happens again.
Emma skills are built to stop that cycle.
What Is an AI Skill?
An AI skill is a saved, reusable prompt. You write the instruction once, and the AI stores it. Every time you run it, you get the same quality of analysis applied to your live data, without writing the prompt again.
In Emma, a skill tells the AI what to analyse, how to structure the output, and what to focus on. You write it in natural language. Emma handles the rest.
The Problem with Recurring Amazon Reporting

Managing an Amazon account involves a significant amount of repeated analytical work. Top and bottom ASIN performance. Stock levels. Advertising summaries. Vendor metrics. These are not one-off tasks. They happen every week, sometimes every day, across multiple accounts and marketplaces.
The challenge is not that the analysis is difficult. It is that it takes time every single time.
Generic AI tools do not solve this. They have no access to your Amazon data. You end up copying numbers from dashboards into prompts, which is manual work with an extra step.
Emma is connected directly to your account data. Skills make that connection repeatable.
How to Create a Skill in Emma
- Go to Emma settings
- Click Skills, then Add Skill
- Give the skill a clear name, for example "Weekly Performance Summary" or "Prime Day Analysis"
- Write the prompt in natural language
You do not need prompt engineering experience. Emma has a secondary processing layer that normalises your input into a structured, repeatable instruction.
Write it the way you would explain the task to a colleague.
Skill Visibility: Private, Company, and Global
Every skill in Emma has a visibility level. You set this when you create or share the skill.
Private
Only you can access and run this skill. Useful for personal workflows or analysis you are still refining.
Company Shared
Available to your team within the emax digital environment. Useful for standardising how an account is reviewed across a brand's internal team.
Global Shared
Available to everyone with access to the account. Useful for agencies where consistent analysis across multiple client accounts matters.
Running Skills: Slash Commands and Scheduled Delivery
Slash Commands
Once a skill exists, you invoke it with a slash command. Type / followed by the skill name, for example /Prime Day, and Emma runs the full prompt against your current data instantly. The same skill works across every account you have access to.
Scheduled Email Reports
Skills can be set to deliver results to any email address on a schedule: daily, weekly, or a custom cadence.
The practical result: every Monday morning, before your team opens a single dashboard, they already have an email with last week's performance. Top ASINs. Bottom ASINs. Low stock alerts. Advertising performance. All formatted, all actionable, delivered automatically.
What Emma Can Already Analyse
Emma currently works with two core data areas.
Product Performance
Sales, revenue, inventory levels, and vendor-specific metrics including net PPM. Emma processes months of historical data and returns recommended next steps, not just numbers.
Advertising Data
Sponsored Products and Sponsored Brands. DSP access is available and being actively improved.
Emma's output is designed to be actionable. The goal is a clear view of what happened, why it matters, and what to do next.
Content monitoring, market insights, and content audit are on the roadmap and are not yet available in Emma.
GDPR and Data Confidence
Emma operates exclusively on your account data. It does not pull from third-party sources, does not share information across accounts, and does not require connecting to external AI tools.
For brands and agencies operating in Europe, Emma is GDPR compliant. Your data stays within the emax digital platform.
Extend Your Existing AI with MCP
Emma works inside the Emax Digital platform.
But many teams already have an AI tool they use every day, whether that is ChatGPT, Microsoft Copilot, or Claude.
MCP (Model Context Protocol) is a secure bridge that connects the Emax Digital platform to the AI tools your team already uses. With MCP active, you can open Copilot, ChatGPT, or Claude and ask about your Amazon account directly.
The same data. The same context. The same intelligence that powers Emma, now accessible from whichever tool your workflow runs on.
No switching systems. No manual exports. One source of truth, across every tool.
MCP is in active development. A dedicated post on how it works in practice is coming.
Ready to Turn AI Into Amazon Expertise?
You already have access to powerful AI tools.
The real question is: Do they understand your Amazon business?
With Emma and MCP, you can connect real Amazon data to AI, automate recurring workflows, and give every team instant access to expertise.
Stop spending hours on manual reporting and repetitive analysis.
Start making faster, better decisions with AI that actually understands your business.
👉 Book a demo to see how your team can turn complex Amazon data into clear, actionable insights in seconds.
