Analytics & Reporting

Why Manual Reporting Costs You More Than Time

The average Amazon seller spends 3 to 5 hours per week building reports. For agencies managing multiple accounts, that number can reach 15 to 20 hours. The time cost is obvious, but the hidden cost is worse: delayed information leads to delayed decisions. A campaign that started bleeding money on Tuesday should not wait until Friday's report to get noticed.

Jarvio eliminates both problems. Reports are generated automatically and delivered on schedule, and because the system monitors data continuously, urgent changes trigger immediate alerts rather than waiting for the next reporting cycle.

What Automated Reporting Looks Like

A typical Jarvio reporting setup for an Amazon seller includes three automated workflows:

• Daily sales summary: Delivered to Slack at 8am. Includes yesterday's revenue, units sold, top-performing ASINs, and comparison to the same day last week. AI highlights anything unusual: a spike in a specific product, an unexpected dip in a category, or a Buy Box loss.
• Weekly ad performance report: Delivered to email every Monday. Campaign-by-campaign breakdown of spend, ACoS, ROAS, impressions, clicks, and conversions. AI summary flags campaigns with ACoS above target and recommends specific actions.
• Monthly P&L: Delivered to Google Sheets on the 1st. Revenue, Amazon fees, ad spend, and (if you provide COGS data) gross margins per SKU. This becomes your operating profitability dashboard.

AI-Written Summaries vs Raw Data

Raw data tables are useful but require interpretation. Jarvio's AI layer reads the data and writes summaries in plain English. Instead of scanning a table of 50 campaigns to find the underperformers, you read: "Campaign 'Cutting Board Exact' spent $142 this week with a 52% ACoS, up from 38% last week. The increase is driven by 3 keywords that converted poorly. Consider pausing 'bamboo cutting board large' which spent $47 with zero conversions."

These summaries are generated by Claude, ChatGPT, or Gemini (the Agent selects the best model for the task) and are based on your actual Amazon data pulled via the SP-API. They are not generic templates; they reference your specific products, campaigns, and performance numbers.

Cross-Tool Reporting for Complete Visibility

Amazon data alone does not tell the full story. Your cost of goods lives in a spreadsheet. Your ad strategy spans Amazon and Google. Your inventory counts come from your 3PL. Jarvio combines data from multiple sources into unified reports.

The most common cross-tool setup: Amazon sales data (SP-API) combined with COGS data (Google Sheets) to produce SKU-level profitability reports. Add advertising data (Advertising API) and you have a complete picture of which products are making money after all costs.

Agency Reporting at Scale

Agencies managing 10 or more client accounts face a unique reporting challenge. Each client wants personalised reports on their schedule, with their metrics, in their preferred format. Building these manually does not scale.

Jarvio solves this with per-client workflow templates. Set up a reporting workflow once, then duplicate it for each client account. Each workflow pulls from the correct Amazon account, formats the report with the right metrics, and delivers it to the client's email or shared Google Sheet.

Getting Started with Automated Reporting

Most sellers start with a single daily sales summary delivered to Slack. It takes about 5 minutes to set up: connect your Amazon account, choose the metrics you want, pick a delivery channel, and set a schedule. From there, you can add ad performance reports, inventory status updates, and more complex multi-source reports as your needs grow.

The AI Agent can also help you build reporting workflows through conversation. Tell it "I want a weekly report of my top 10 products by revenue with ACoS and margin data, delivered to my email every Monday" and it helps you build the workflow.