You have the components: MCP connection, task scheduler, chaining, supervision framework. Now here are five automated workflows you can deploy for your Amazon business — each one a concrete example of Level 3 or 4 in action.

Pick one for your capstone project. Build the rest over time.

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Use Case 1: Weekly PPC Performance Digest

Level: 3 (single agent) or 4 (two-step: fetch + summarize)

Schedule: Every Sunday at 6pm

Output: Slack message + detailed file saved to /analysis

Requires: Seller Labs Amazon MCP

What it does: Queries your Amazon advertising data for the past 7 days. Calculates total spend, total sales, overall ACoS. Breaks down performance by campaign. Flags any campaign or keyword with ACoS over your threshold. Calculates week-over-week changes. Writes a summary with the top 3 recommended actions.

Prompt template:

"Query my Amazon advertising data for the past 7 days.
Calculate: total spend, total sales, ACoS by campaign.
Flag any campaign with ACoS above [your threshold]%.
Calculate change vs. the prior 7-day period.
Write a plain-English summary of performance and the top 3 actions I should take this week.
Save the detailed breakdown to analysis/ppc-digest-[today's date].md.
Post a short version (5 bullet points max) to Slack in #[your channel]."
        

Supervision level: Fully autonomous — this is analysis only, no changes made to campaigns.

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Use Case 2: Inventory Reorder Alert

Level: 3

Schedule: Every Tuesday and Friday at 8am

Output: Slack alert only if reorder needed (silent otherwise)

Requires: Seller Labs Amazon MCP

What it does: Checks your current FBA inventory levels against your 30-day sales velocity. Calculates days of cover per ASIN. If any ASIN falls below your reorder threshold (e.g., 45 days), calculates the quantity needed to return to 90 days of cover and sends you an alert.

Prompt template:

"Check my current FBA inventory levels and 30-day sales velocity by ASIN.
Calculate days of cover for each active ASIN.
If any ASIN has less than [your threshold] days of cover:
  - List the ASIN, current units, current velocity, and days remaining
  - Calculate the reorder quantity needed for [your target: e.g. 90] days of cover
  - Note the expected reorder deadline based on [your lead time from CLAUDE.md] weeks lead time
Send an alert to Slack with the details.
If all ASINs are above the threshold, do nothing."
        

Supervision level: Semi-autonomous — the alert is informational. You place the actual reorder. No autonomous purchasing.

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Use Case 3: Listing Quality Audit

Level: 3

Schedule: Every Monday at 9am

Output: Report saved to /analysis + Slack summary

Requires: Seller Labs Amazon MCP + your /listings folder from Course 1

What it does: Scans your active ASINs and cross-references them against best-practice listing requirements. Flags listings that are missing A+ content, have fewer than 5 bullet points, have a title under 80 characters, or are missing backend keywords. Scores each listing and generates a prioritized fix list.

Prompt template:

"Query my active ASINs from the Amazon MCP.
For each ASIN, check the listing content in my /listings folder.
Flag any listing that:
  - Is missing A+ content
  - Has fewer than 5 bullet points
  - Has a title under 100 characters
  - Has a product description under 250 words
Score each listing from 1-10 based on completeness.
Generate a prioritized fix list: worst-scoring listings first.
Save the full report to analysis/listing-audit-[today's date].md.
Post a summary to Slack: top 3 listings needing immediate attention."
        

Supervision level: Fully autonomous — audit only, no changes made to listings.

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Use Case 4: Monthly Profit Summary

Level: 4 (multi-step: fetch + calculate + summarize)

Schedule: 1st of every month at 9am

Output: Report saved to /analysis

Requires: Seller Labs Amazon MCP

What it does: Pulls last month’s revenue, FBA fees, advertising spend, and estimated COGS. Calculates gross margin, ad spend as a percentage of revenue, and net estimated profit per ASIN and total. Compares to the prior month. Writes a plain-English P&L summary with commentary.

Prompt template:

"Query my Amazon data for last month [Month YYYY]:
  - Revenue by ASIN
  - FBA fulfillment and storage fees
  - Total advertising spend by ASIN
  - Estimated COGS (use the values from my CLAUDE.md if available)
Calculate for each ASIN:
  - Gross margin before ads
  - Net margin after ads and fees
  - Ad spend as % of revenue (TACoS)
Calculate totals for the month and compare to the prior month.
Write a one-page P&L summary: highlights, concerns, month-over-month changes.
Save to analysis/monthly-summary-[Month-YYYY].md."
        

Supervision level: Fully autonomous — financial reporting, no changes made.

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Use Case 5: Competitor Price Monitoring Summary

Level: 3

Schedule: Every Wednesday at 10am

Output: Slack message

Requires: Seller Labs Amazon MCP (and/or web search MCP)

What it does: Checks your key ASINs against competitors’ Buy Box prices. Flags any case where a competitor is priced more than 10% below you. Notes whether you are winning the Buy Box. Provides a pricing recommendation for each flagged ASIN.

Prompt template:

"For my top [X] ASINs (listed in CLAUDE.md):
  - Check the current Buy Box price
  - Check whether I am winning the Buy Box
  - Note the lowest competitor price if I am not winning
Flag any ASIN where:
  - I am not winning the Buy Box, OR
  - A competitor is priced more than 10% below my current price
For flagged ASINs, suggest a price adjustment to recapture the Buy Box.
Post a summary to Slack with the flagged ASINs and recommendations."
        

Supervision level: Semi-autonomous — recommendations only. You make the pricing changes.

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