Business Intelligence for US ecommerce teams

Dashboards that show yourreal profit, not just revenue.

DataCell builds Business Intelligence dashboards, cleaned reporting, and margin analytics for Shopify, Amazon, and TikTok Shop operators. Automated where it saves time, human reviewed where it has to be right.

Based in Westbury, NYShopify, Amazon, TikTok Shop operatorsNDA before any work begins
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What that looks like

Automated efficiency. Human verified insights.

We automate the mechanical work and keep a human analyst on every decision that matters. You get modern tooling, and dashboards you can defend to anyone who asks.

01, Revenue Intelligence

Dashboards for the numbers that pay.

Revenue Dashboard
$1.24M
Contribution margin this quarter
Inventory View
218
SKUs at reorder point
True ROAS
2.78x
Blended, net of returns

One Power BI view for revenue, contribution margin, and channel performance. Refreshed daily, reviewed by a human analyst before each release.

02, Pipeline Health

Clean data, every morning.

Pipeline health
42builds today
All pipelines nominal
Stable

Automated ingestion with quality checks and a human review gate. The dashboard matches the system of record, every single day.

03, Monthly Review

An insight review on the calendar.

Monthly insight reviewNovember
M12
T13
W14
T15
F16
S17
S18
Review booked, Wed Nov 14, 11:00 ET

Monthly scheduled reviews, priority response for ad hoc questions, and new KPIs added as your business evolves.

Services

Six services, one team, built for ecommerce operators.

Each category below groups a set of capabilities we actually deliver today. Click through for the full detail, the problem each service solves, and the business benefits you should expect.

See all services

Why human reviewed matters

Automated dashboards are everywhere. Reliable ones are rarer.

AI powered tools can draft a dashboard in minutes. They cannot tell you whether the definitions match, whether a spike has an explanation, or whether the business logic fits your business. A human analyst can. Every DataCell release goes through one.

Human reviewed

0%

Every dashboard release is reviewed by a human analyst before it reaches your team. We do not ship numbers we have not checked.

Response

0 day

Every inquiry gets a response within one business day. No form funnel delays, no "we will get back to you" that never arrives.

Encrypted

0-bit

AES-256 at rest and in transit. NDA signed before any work begins. Your business data stays with us and is never used to train AI models.

How we work

A three step engagement model. No mystery, no theater.

Step 01Discover

A 30 minute call, a written scope, an NDA.

We start every engagement the same way. A short consultation where we walk through your stack and the question you are trying to answer. If we are a fit, we send a written scope and an NDA before any data moves. If we are not, we tell you plainly, and usually point you somewhere better.

  • Free 30 minute consultation
  • Written scope within 2 business days
  • NDA signed before any data access
Phase 01, Discover
Step 02Build

Clean pipelines, clean data, one week at a time.

We work in short, visible iterations. One pipeline live per week is a reasonable pace. Dashboards are built in Power BI with modeled data behind them, so the numbers in the dashboard match the numbers in your system of record. You see progress each week, not a four month black box.

  • Shopify, Amazon, TikTok Shop, Meta, Google, QuickBooks, and more
  • Microsoft Power BI as the delivery surface
  • Human reviewed before every release
Phase 02, Build
Step 03Operate

Monthly insight reviews, priority response, someone owns it.

Dashboards rot quietly. Pipelines break at 2am. KPIs change as the business grows. Our Analytics Support retainer gives you fractional CDO capacity: monthly reviews, maintenance, and new KPI additions. Someone owns "is this number right," and it is no longer you.

  • Monthly scheduled insight review
  • Priority response for ad hoc requests
  • Month to month, cancel with 30 days notice
Phase 03, Operate

On the roadmap

What we are building next.

Two layers we are developing alongside our core analytics work. These are not services we offer today. We will update this section when they are ready to engage on.

In development

Business Automation & Data Engineering

The next layer we are building: pipelines, integrations, and automated workflows that reduce the manual work behind ecommerce reporting.

  • Business Process Automation
  • Data Integration & ETL Pipelines
  • Automated Reporting & Dashboards
  • Ecommerce Workflow Automation
  • Inventory & Reordering Automation
  • Data Monitoring & Automated Alerts
  • Systems Integration & API Automation
  • Managed Analytics & IT Support
Research

AI & Intelligent Automation

The research layer: AI powered assistants, decision support, and workflow agents. We are building these carefully, with human review at every important step.

  • AI Business Assistants
  • AI Powered Business Analytics
  • AI Agents & Workflow Automation
  • AI Customer Support Automation
  • Predictive Analytics & Forecasting
  • AI Powered Decision Support
  • Private & Custom AI Solutions

Capabilities listed here are planned, not currently available for engagement.

How we handle your data

Strong contracts, trusted tools, clear policies.

Your store data is sensitive. Sales numbers, customer lists, supplier prices, ad performance. All of it deserves careful handling, and all of it gets it.

NDA before any work starts

Rigorous Non Disclosure Agreements signed with every client before project kickoff.

AES-256, end to end

Data encrypted at rest and in transit. Every device encrypted, every connection HTTPS.

Enterprise grade cloud tools

Microsoft 365, Google Workspace, and Power BI Service. No ad hoc free tools in your data path.

Book a consultation

Tell us about your store.

Send us a few details about your business and the question you are trying to answer. We reply within one business day with next steps and a short Discovery scope.

Based in
Westbury, New York, 11590
Working with US ecommerce teams, remotely.
Data handling

Nothing you share here is sold, shared with advertisers, or used to train AI models. NDA signed before any engagement begins.

Full name*
Work email*
Company name
Website URL
Inquiry type
Monthly revenue range
Brief description of your challenge*
Attach context (optional)