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Amazon Backend Report

by @mguozhen

Amazon Seller Central backend data report auto-analysis agent. Automatically analyze business reports, inventory reports, advertising reports, and financial...

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πŸ“– About This Skill


name: amazon-backend-report description: "Amazon Seller Central backend data report auto-analysis agent. Automatically analyze business reports, inventory reports, advertising reports, and financial reports from Amazon Seller Central to surface actionable insights. Triggers: amazon backend report, seller central report, business report, inventory report, amazon data analysis, seller central analytics, amazon performance report, sales report analysis, fba report, advertising report analysis, financial report" allowed-tools: Bash metadata: openclaw: homepage: https://github.com/mguozhen/amazon-backend-report

Amazon Backend Report Analyzer

Automatically analyze Amazon Seller Central reports β€” business performance, inventory health, advertising, and financial data β€” and surface the insights that matter most for your business.

Paste your exported report data. The agent processes it, identifies anomalies, highlights opportunities, and outputs a clear performance summary with prioritized action items.

Commands

report business             # analyze business report (traffic + conversion)
report inventory            # analyze inventory health report
report advertising          # analyze advertising performance report
report financial            # analyze financial/payment report
report fba                  # analyze FBA performance and fees
report returns              # analyze returns and refunds report
report search-terms         # analyze search term report from ads
report compare   # compare two time periods
report digest                     # generate weekly management digest
report save               # save analysis to workspace

What Data to Provide

  • Report data β€” paste CSV/text data from any Seller Central report
  • Time period β€” which date range the report covers
  • Historical baseline β€” prior period data for comparison (if available)
  • Goals β€” your targets (revenue, ACOS, margin, etc.)
  • ASIN list β€” specific products to focus on
  • Report Analysis Framework

    Business Report Analysis

    Key metrics in Business Report:

    Column              What to track               Benchmark
    Sessions            Unique visitors             Growing week-over-week
    Page Views          Total product page views     Ratio to sessions
    Buy Box %           % of time you own Buy Box   >90%
    Units Ordered       Units sold per period       Week-over-week trend
    Unit Session %      Conversion rate             >10% (varies by category)
    Ordered Product Sales Revenue by ASIN           Growing trend
    

    Conversion rate diagnostic:

    CVR < 5%:    Listing issue β€” images, bullets, or price problem
    CVR 5-10%:   Below average β€” improve weakest listing element
    CVR 10-15%:  Good β€” optimize further for incremental gains
    CVR > 15%:   Excellent β€” scale traffic with ads
    

    Sessions dropping:

  • External algorithm change
  • Out-of-stock event caused ranking loss
  • Competitor improved listing quality
  • Seasonal demand shift
  • Ad spend reduced
  • Sessions growing, revenue not growing:

  • Price decreased (more traffic, same revenue)
  • Conversion rate dropped (traffic quality changed)
  • Returns increased (inflating gross revenue, but refunds eating margin)
  • Inventory Health Report Analysis

    Key inventory metrics:

    Metric                  Target              Action if violated
    Days of Supply          30-60 days          Reorder if <30 days
    Inventory Age (0-90d)   >90% of stock       Monitor aging inventory
    Inventory Age (91-180d) <10% of stock       Run promotions to clear
    Inventory Age (180d+)   <2% of stock        Deep discount or removal
    Stranded Inventory      0 units             Fix listing issues immediately
    Unfulfillable Units     0 units             Remove or dispose
    Excess Inventory        <30 days excess     Reduce reorder quantity
    

    Long-term storage fee risk:

  • Units stored >181 days incur additional fees ($1.50/cubic foot/month)
  • Units stored >365 days: $6.90/cubic foot/month
  • Action: identify aging SKUs and run promotions before 181-day mark
  • Inventory planning dashboard:

    ASIN | Units | Daily Sales | Days Cover | Reorder Point | Order Now?
    BXXX |  450  |    15/day   |   30 days  |  150 units    |  ⚠ Yes
    BYYY |  800  |    10/day   |   80 days  |  100 units    |  βœ“ No
    BZZZ |   50  |     5/day   |   10 days  |   75 units    |  🚨 Urgent
    

    Advertising Report Analysis

    Search Term Report (most important ad report):

    Analysis steps:
    1. Sort by Spend descending β€” find where budget is going
    2. Find terms with high spend, zero conversions β†’ Negative match
    3. Find terms with conversions, good ACOS β†’ Add to Exact campaign
    4. Find terms with high impressions, 0 clicks β†’ Review bid or relevance
    5. Compute true ACOS per term: Ad Spend / Ad Sales Γ— 100
    

    ACOS benchmarks by action:

    ACOS < 15%: Raise bids β€” underinvesting in profitable keywords
    ACOS 15-25%: Maintain β€” at break-even or profitable range
    ACOS 25-35%: Review β€” marginal, may be justified for ranking
    ACOS > 35%: Reduce bids or pause β€” unprofitable
    

    Campaign performance buckets:

    Bucket                  ACOS    Impressions  Conversions
    Stars:                  <20%    High         High        β†’ Scale budget
    Cash Cows:              <20%    Low          Moderate    β†’ Increase bids
    Potential:              20-35%  High         Low         β†’ Improve listing
    Underperformers:        >35%    Any          Low         β†’ Reduce or pause
    

    Financial Report Analysis

    Key financial metrics:

    Metric                  Formula                           Target
    Gross Revenue           Sum of product sales              β€”
    Amazon Fees             Referral + FBA + storage + ads    <40% of revenue
    Returns/Refunds         Refund amount / gross revenue     <5%
    Net Revenue             Gross - Returns - Fees            β€”
    Net Margin              Net Revenue / Gross Revenue       >20%
    

    Fee percentage benchmarks by category:

    Category        Referral    FBA        Total Fees  Net Margin Target
    Electronics     8%          $5-8       18-22%      >25%
    Home & Kitchen  15%         $4-6       22-26%      >20%
    Clothing        17%         $3-5       22-26%      >20%
    Beauty          15%         $3-5       21-25%      >22%
    

    Cash flow planning:

    Disbursement cycle: Every 14 days (typically)
    Reserved amount: Amazon holds ~7 days of sales as reserve
    Working capital needed: 45-60 days of COGS (production + freight + reserve)
    

    Weekly Management Digest Format

    WEEK OF [DATE] β€” PERFORMANCE DIGEST

    πŸ“Š REVENUE This week: $XX,XXX | Last week: $XX,XXX | Change: +/-X% YTD: $XXX,XXX | YTD goal: $XXX,XXX | On track: Yes/No

    πŸ“¦ INVENTORY Total units: X,XXX | Days of supply: XX days ⚠ Low stock: [ASIN list] 🚨 Urgent reorder: [ASIN list]

    πŸ“’ ADVERTISING Ad spend: $X,XXX | ACOS: XX% | ROAS: X.Xx Best performer: [term] at X% ACOS Worst performer: [term] at X% ACOS β€” ACTION NEEDED

    ⚠ ALERTS [List of any anomalies detected]

    βœ… TOP 3 ACTIONS THIS WEEK 1. [Highest priority action] 2. [Second priority] 3. [Third priority]

    Workspace

    Creates ~/backend-reports/ containing:

  • business/ β€” business report analyses by period
  • inventory/ β€” inventory health tracking
  • advertising/ β€” ad performance archives
  • financial/ β€” financial summaries
  • digests/ β€” weekly management digests
  • Output Format

    Every report analysis outputs: 1. Performance Summary β€” key metrics vs. prior period with trend indicators 2. Anomaly Detection β€” unusual patterns that require attention 3. Inventory Status β€” stock health with specific reorder actions 4. Ad Performance β€” ACOS summary with specific optimization actions 5. Financial Health β€” margin and fee analysis 6. Priority Action List β€” top 5 actions ranked by expected business impact 7. Next Week Forecast β€” projected performance based on current trends