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An E-Commerce Merchandising and Marketing AI Team Built with Claude Cowork — Turning Ad Performance, Coupon Reconciliation, and Review Complaints into a Verified Monday Briefing

Before the Monday 9 a.m. meeting, delegate performance tracking for three ad channels, coupon reconciliation, review complaints, and inventory checks to Cowork, while people just review the reconciliation sheet. Using data from a virtual shopping mall, create about 40 results files organized by owner and five skills, and set up a scheduled run for every Monday at 8 a.m.

1 learners are taking this course

Level Beginner

Course period Unlimited

claude
claude
Business Productivity
Business Productivity
Digital Marketing
Digital Marketing
Performance Marketing
Performance Marketing
data-analysis
data-analysis
claude
claude
Business Productivity
Business Productivity
Digital Marketing
Digital Marketing
Performance Marketing
Performance Marketing
data-analysis
data-analysis

What you will gain after the course

  • Connect tools and a working folder to Cowork, and save metric definitions (revenue, ROAS, average order value) as work instructions.

  • Combine export files from three ad managers to create a campaign performance report and budget adjustment recommendations by online store.

  • Reconcile coupons and promotions (separating overlapping promotions and group orders), and mark products with no cost data as unverifiable.

  • Create a criteria chart for review complaint types and verify classification accuracy through human scoring.

  • Use inventory days and product diagnostic cards to identify items at risk of selling out or with excess stock.

  • Compile results by owner into a verified one-page Monday briefing, then repeat the process using skills and weekly scheduled runs.

Recommended for
these people

Who is this course right for?

  • Merchandisers and marketers for company-owned and online stores

  • E-commerce operations specialist responsible for weekly advertising and promotion reports

  • Anyone who’s felt unsure whether to trust Claude’s results when working with numbers

  • A student in the “Building an AI Team for an Online Store with Claude” course

Need to know before starting?

  • No coding knowledge required.

  • A paid plan that lets you use the Claude desktop app and Cowork

  • macOS or Windows (Windows steps based on the official documentation)

  • A program for opening Excel, Word, and PDF files (you can proceed without one)

Hello
This is dorian05202988

Career Verified

A data craftsman with over 20 years of experience in databases and IT. As a DBA and manager of a DB Platform team, I work with database platforms and specialize in MySQL, PostgreSQL, Oracle, MongoDB, SQL tuning, AWS, Terraform, and Python. Drawing on experience in the gaming, finance, and IT services industries, I explain database and cloud architecture. I have published 『Oracle Practical Tuning: Learning SQL Patterns』 and 『Oracle Pro*C Practical Project Guide』, and have presented on serverless architectures, database selection, and multi-database strategies at AWS Summit 2018 and 2019 and DataYa Nolja 2020. Recently, I have been working on slow-query analysis and tuning recommendations using Bedrock LLM, automated DB specification sizing, and query workflows through a DB metadata MCP server and Slack bot. I explain database automation for developers and AI applications for non-developers through hands-on exercises tailored to the audience and objectives of each course. Rather than applying AI suggestions as-is, I teach a decision-making framework that verifies result equivalence, execution plans, and observability conditions, and defers action when the supporting evidence is insufficient. Company operational data and credentials are not included in the course materials.

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Curriculum

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46 lectures ∙ (3hr 10min)

Course Materials:

Lecture resources
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