Data analytics tools that turn Amazon data into decisions.
Orders, fees, settlements, advertising and inventory data — pulled automatically into one warehouse, modelled properly and delivered as dashboards and tools your team actually uses. On the BI platform you already have, or one we help you choose.
From raw API data to answers on one screen.
Data pipelines & ETL
Automated, authorised extraction from the SP-API, Amazon Ads API and your other systems, refreshed on schedule.
Data warehouse & modelling
Clean, tested data models in Snowflake, BigQuery, Redshift or PostgreSQL — one source of truth.
BI dashboards
Power BI, Tableau, Looker Studio or Metabase dashboards built around the decisions your team makes.
Profit & unit economics
True profit per SKU and marketplace, with fees, ads, refunds, storage and COGS accounted for.
Advertising analytics
Campaign, keyword and search-term performance joined to sales, so you see total impact, not just ACoS.
Forecasting & custom tools
Demand and reorder forecasting, alerts and internal analytics apps built in Python or your stack.
The numbers Seller Central won't give you.
Which products actually make money?
SKU-level profit after every fee, ad and return — not just revenue.
Is our ad spend growing the business?
Paid versus organic sales, and how advertising shifts total revenue over time.
How are all our accounts and marketplaces doing?
One consistent view across regions, brands and client accounts.
Why don't Amazon payouts match our books?
Settlement reconciliation against your ERP or accounting system, line by line.
When should we reorder?
Sales velocity, lead times and FBA stock combined into reorder alerts.
A modern data stack, matched to your team.
Start with the question, not the tool.
- 1Agree the key questions
- 2Connect & model the data
- 3Build & review dashboards
- 4Train your team & hand over