DATA ANALYSIS

Turn Your Numbers Into Decisions

SKU-level profitability, KPI dashboards and business analysis, backed by 25+ years of data work. AI-accelerated. Human-verified.

25+

years in business & data analysis

1,000+

brands analyzed before buying

SKU-level

profit tracking

Weekly

KPI reporting

Sound familiar?

NO REAL PROFIT VIEW

You know your revenue, but not the real profit of each SKU.

LATE REPORTS

Reports take days to build and arrive when the decision is already made.

DIFFERENT NUMBERS

Every team has its own spreadsheet, and none of them match.

GUT FEELING

Pricing, reorders and ads are decided by instinct instead of data.

We built the profit model for our own Amazon business first. Then we build it for yours.

Who we work with

E-COMMERCE

Amazon & e-commerce sellers

Sellers who want real profit per SKU after every fee, ad and return.

GROWTH

Growing brands without a data team

Companies that need clear KPIs and reporting without hiring a full analytics department.

OPERATIONS

Operations & finance teams

Teams that need clean data, one source of truth and analysis that supports decisions.

Our data analysis services

Four services that work as one system to turn raw data into clear decisions.

SKU Profitability (P&L per SKU)

Real margin per product after referral and FBA fees, ads, storage, returns and landed cost, reviewed every week.

KPI Dashboards & Reporting

One source of truth for sales, margin, ads and inventory, updated weekly and easy for leadership to read.

Data Cleanup & Integration

Supplier lists, marketplace reports and ERP/SAP data cleaned, matched and combined, with AI-assisted pipelines and expert review.

Business Analysis

Requirements, process mapping and decision support from analysts who have done it for global companies.

How we work

01

Data audit (1–2 weeks)

Sources, quality and the questions that matter.

02

Model

Profit, KPIs and business rules defined.

03

Dashboard

One clear view, built for decisions.

04

Weekly review

Insights, actions and follow-up.

Real margin, not revenue

A $30 product can leave you only $5.50 (18%) after referral fees, FBA, storage, returns, ads and product cost. We track this for every SKU, every week, so you know which products really make money.

Tools we use

Excel · Google Sheets · Airtable · Seller Central reports · SAP · Oracle CX · Oracle CPQ · Oracle Fusion · Oracle FDI · AI (Claude, ChatGPT), always with expert human-in-the-loop review

Proof and next steps

FEATURED CASE

Profit per SKU in our own business

The same model that keeps our Amazon business at 15–20% net margin across 5 marketplaces.

Case details coming soon.

PAIRS WELL WITH

E-commerce & AI

E-commerce Management: Sourcing, PPC and pricing decided with data.

AI & Automation: AI-assisted data cleanup with expert curation (human-in-the-loop).

Frequently asked questions

What data do I need to start?

Your marketplace reports, ad reports and product costs are enough to build a first profit view. We help you collect anything missing.


Which tools do you use for dashboards?

We work with the tools you already have, such as Excel, Google Sheets or Airtable, so your team can keep using them after we finish.


How long until I see my real margin per SKU?

Usually within 2–4 weeks, after a short data audit.


Can you work with ERP or SAP data?

Yes. Our team has 25+ years of business and data analysis, including SAP and enterprise data for global companies.


How do you use AI in data analysis?

AI speeds up cleanup and matching of large files, and an expert reviews every result before it reaches you (human-in-the-loop).


Is my data kept confidential?

Yes. We use only the data each task needs, and access is limited to the team working on your project.


Ready to see your real numbers? Let’s talk.