Shopify
QuickBooks
Google Analytics
Square
Lightspeed
Salesforce
Marketo
SAP
Mailchimp
BEEM sales dashboard combining revenue and orders from every connected channel

Companies running on BEEM

Problem

The problem with channel-by-channel reporting

Most retailers did not choose a reporting architecture. They grew into one, one channel at a time.

The storefront came with dashboards. The marketplace had its own. The till reports to the ERP, the ad platforms each claim their own conversions, and someone in merchandising keeps the real numbers in a spreadsheet. Each of those is reasonable on its own. Together they produce three problems that all surface in the same place: the Monday meeting.

Four channels, four versions of revenue.

Each system answers from what it can see. The storefront counts orders, the marketplace counts settlements, the till counts transactions, and nobody can say which one the board should use.

Margin nobody can stand behind.

Discounts, returns, marketplace fees and ad spend live in four different systems. Gross revenue is easy. Margin after all of it becomes a quarterly research project.

Decisions made on last week.

By the time the exports are reconciled, the stockout already happened and the campaign already spent. The reporting describes the past instead of changing it.

Unified retail reporting is the opposite: one clean source for every channel, one definition of revenue and margin, and the same numbers in every room. It is less about which dashboard you pick and more about the model underneath it.

Definition

What is an ecommerce data analytics platform?

An ecommerce data analytics platform is the layer that connects every place you sell and spend, standardizes it into one model, and answers questions from that single source. There are three common approaches: native analytics inside each channel, a point tool covering the storefront and the ad accounts, or a governed platform that takes in the storefront, the marketplaces, the point of sale and the back office together. BEEM is a managed data platform that does the third, with 750+ pre-built connectors, a built-in cloud warehouse and a data team that runs it.

01

Native analytics in each channel

Each channel reports on itself, in its own console.

02

A point ecommerce analytics tool

Built for the storefront and the ad accounts.

03

BEEM, one governed retail model

Every channel in one model, with a team to run it.

Comparison

The three ways retail teams get their analytics

1. Native analytics in each channel

2. A point ecommerce analytics tool

3. BEEM, one governed retail model

What it sees

One channel at a time

Storefront and ad accounts

Every channel, plus the point of sale and the back office

Are the numbers consistent

No, each channel answers from its own data

Online only, in-store is missing

Yes, one model and one definition

Margin after discounts, returns and fees

Not available

Partial, ad spend only

Yes, down to the product variant

In-store and marketplace

Separate reports nobody reconciles

Usually out of scope

In the same model as online

Who maintains it

Each vendor, separately

You do

BEEM does

Time to first dashboards

Already there, but not comparable

Days to weeks

2 weeks on your real data

Best for

Day-to-day tasks inside one channel

Pure DTC on a single storefront

Multi-channel retail, anything with stores or marketplaces

In detail

Not recommended

Shopify

Amazon

POS

Ad accounts

own report

own report

own report

own report

Revenue A

Revenue B

Revenue C

Revenue D

01

Native analytics in each channel

The setup most retailers have, without having chosen it. Every channel ships its own dashboard.

Fine for tasks inside one channel. It breaks the moment a question crosses two of them.

Nobody owns the definition of revenue, so the meeting argues about which number is right.

Partial fit

Shopify

Ad accounts

POS

ERP

Point tool · storefront and ads only

own report

Online revenue only

02

A point ecommerce analytics tool

A tool built for ecommerce. It joins your storefront and your ad accounts, and it beats reading four consoles.

The limit is scope. Point of sale, ERP, warehouse and returns usually sit outside the model.

If you sell in stores or on marketplaces the number is still partial, and you own a second system.

Recommended

Shopify

Amazon

POS

Ad accounts

one retail data model

Dashboards

Reorder alerts

AI insights

03

BEEM, one governed retail model

Every channel lands in one place before anyone reports on it. 750+ pre-built connectors into a warehouse BEEM runs for you.

The model already handles variants, bundles, discounts, returns, marketplace fees and currencies.

Revenue and margin are defined once and used everywhere. Recommended for any retailer with more than one channel.

Architecture

Add a channel without rebuilding your reporting

Retail changes shape constantly. A new marketplace, a new till in a new country, a brand acquired, a channel dropped. An architecture that ties your definitions to one channel means rebuilding each time.

BEEM separates what changes from what does not.

Your Channels

Add or drop anytime

Shopify

Amazon

TikTok Shop

New POS

New region

Change without touching the layer below

Connectors

750+ pre-built

Pre-built

Managed

Nightly refresh

Your retail model and definitions (BEEM)

Built once

Customer key

Product and variant

Revenue and margin

Permissions

History

Your definitions live in BEEM, not in a channel. The customer key, the product and variant structure, the way you count revenue and margin, the permissions and the history all sit in the platform. None of it is written into a storefront or a marketplace console.

Channels are the replaceable part. Adding TikTok Shop, a second marketplace or a new point of sale is a connector and a mapping, not a reporting rebuild. Your dashboards and definitions stay exactly as they are.

Your history does not reset. When a channel is added or dropped, prior years stay in your warehouse under the same definitions, so year-over-year comparisons survive the change.

Your data is never trapped. It sits in your own warehouse in BEEM, and results can be exported at any time.

That is what a durable retail architecture means in practice: the expensive part, your data model and your definitions, is built once, and the part that changes fastest can change without touching it.

Who it is for

Retail analytics by team

The model is the same for everyone. The questions are not. Each of these becomes answerable the moment the channels share one definition.

Ecommerce

What is margin by channel after ads, fees and returns?

Marketing

Which campaigns bring back customers who buy again?

Merchandising

Which variants are earning their shelf space?

Inventory and operations

What runs out before the reorder lands?

Finance

What is real margin once discounts and returns settle?

Retail operations

Sales, margin and stock by store, before the weekly call

Customer experience

What does this customer look like across every channel?

Leadership

One revenue number the whole meeting agrees on

Our approach

Why BEEM rather than another retail analytics tool

Most self-serve analytics platforms sell you a tool. Connecting it, modelling your data, keeping the pipelines healthy and training your team to trust the output is left to you. BEEM takes a different approach. The platform includes the warehouse, the connectors, the dashboards and the AI, and it comes with a data team that builds and maintains the model with you. That is the difference between buying software and getting reporting your team actually uses.

The retail model is not a generic template pasted onto every sector. It adapts to how you actually sell, whether that is a single storefront, a marketplace-heavy business, a chain of stores with a point of sale in every location, or all three at once. The definitions of revenue, margin and customer are built around your business, not around a demo dataset.

A CFO Monthly Report connected to Monthly Revenue, Expense by Category and Budget vs Actual, surrounded by connected sources including Shopify, SAP, Square, Make, Google Analytics, QuickBooks, Salesforce, Lightspeed, Power BI and Mailchimp
Testimonials

Trusted by the teams who run on BEEM

Speed
2 weeks~

from kickoff to first live dashboards

Cost
40 to 60%↓

less than an in-house team or an outside consultant

Reporting
75%↓

less time spent on reporting for a finance client

Frequently asked questions about ecommerce and retail analytics

FAQ

Do we have to change our stack?

No. BEEM reads from the systems you already run. Your storefront, your marketplace accounts, your point of sale and your ERP stay exactly where they are, and BEEM connects to them through pre-built connectors. Nothing is migrated and no team changes tools.

What happens to our history when we add a channel?

It stays. Prior years live in your warehouse under the same definitions, so adding a marketplace or a new till does not reset your comparisons. New channels are backfilled where the source allows it.

Who decides what each team can see?

You do, dataset by dataset. Merchandising can work on product and inventory data while cost and payroll stay out of scope, and finance can see the full margin picture. Permissions are set once in BEEM and apply to every dashboard and every AI question.

What is an ecommerce data analytics platform?

It is the layer that connects every place you sell and spend, standardizes it into one model, and answers questions from that single source. Native channel analytics only see their own channel, which is why cross-channel lifetime value and true margin cannot be calculated inside them.

Can BEEM unify data from Shopify, Amazon and our retail POS?

Yes, into one data model. You get a complete customer purchase history whether the order came from your store, a marketplace or the till, so customer lifetime value is calculated rather than estimated.

How long before we see dashboards on our own data?

First live dashboards in as little as 2 weeks. Connections go in first, then the retail model, then the dashboards your team opens each morning.

How do you handle variants, bundles, discounts and returns?

The retail model handles them by default. Revenue is tracked at variant level, bundle revenue is attributed to individual products, and gross revenue is separated from discounted and returned revenue with no custom development.

Can we track acquisition cost across all our marketing channels?

Yes. Ad spend from Google, Meta and TikTok is joined to real store revenue, which gives true CAC and ROAS by channel, by campaign and down to individual creative.

Can we predict stockouts before they happen?

Sales velocity is joined to current inventory levels, so alerts fire when fast-moving items hit their reorder point. One supplement company reduced stockouts by 80%.

Do we have to replace our storefront, POS or ERP?

No. BEEM reads from the systems you already run through 750+ pre-built connectors. Nothing is migrated and no team changes tools.

What happens when we add a marketplace or a new store?

It is a connector and a mapping, not a reporting rebuild. Your definitions, dashboards and history stay as they are, and the new channel joins the same model.

Do we need a data team to run this?

No. BEEM provides the warehouse, the connectors, the governance and the dashboards in one platform, and BEEM’s data team builds and maintains the model with you.

What does it cost?

Plans start at $899/mo, plus usage-based processing from $0.60/DPU and storage at $0.10/GB. The data team’s services are priced separately.

Next step

One set of numbers for every channel you sell through.

Your storefront, your marketplaces, your tills and your ad accounts connected once, defined once, and ready for the team that has to act on them. First dashboards in as little as 2 weeks.