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AI Analytics Dashboards · E-commerce

AI Analytics Dashboards for E-commerce

An AI analytics dashboard built for e-commerce brands.

Revenue is in the store, ad spend in the platforms, fees in the marketplaces, costs in the supplier records, and returns somewhere else entirely. Contribution margin by product only exists after someone spends a morning assembling it. A unified dashboard makes it a live number.

Built by VelvoAI, an independent AI systems studio. One engineer scopes and writes every system.

What the system does

Data freshness
Live
Source of truth
One
In plain language
Ask

Use cases

What this handles for e-commerce brands

Your true margin lives across six systems and one exhausted spreadsheet.

  • Unify store, marketplace, ad platform, and supplier data into one margin view
  • Track contribution margin by product, channel, and campaign after all real costs
  • Monitor stock cover and sell-through against live sales velocity
  • Ask ad-hoc questions in plain language without waiting on an analyst

True margin visible per product and channel, continuously rather than monthly.

How it runs

Day to day for e-commerce brands

Channel data, ad spend, margin and returns sit in different tools, and the true contribution margin of a product is a monthly spreadsheet exercise. A unified view joins them, including the returns rate that quietly decides whether a bestseller is actually profitable.

Signal path · E-commerceTypical systems in this sector. Examples, not past integrations: the connection to yours is confirmed during scoping.
  1. S.01Shopify for orders, products and margin
  2. S.02Ad platforms for spend and attribution
  3. S.03The returns record, against a high category return rate
  4. S.04The 3PL feed for fulfilment cost
  5. The systemAI Analytics Dashboards

AI Analytics Dashboards for E-commerce — questions

01Can it include advertising and marketplace fees in margin?

Yes, and that is usually the entire point. Gross margin before ad spend, marketplace commission, payment fees, and returns tells you very little about which products actually make money.

02How current is the data?

Store and order data can be near real-time. Ad platforms and marketplaces are rate-limited, so those sync on a schedule — and every panel shows its own last-updated time so nobody acts on stale figures unknowingly.

Written by
Usman Ali, Founder
Last reviewed

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