Vend
Vend integration

Vend in Polar: the shop floor, on the same P&L as online.

Vend rings the sale. What it does not do is put that sale next to your online revenue, your ad spend and your cost of goods, so retail and ecommerce are reported as two businesses. Bring transactions, staff and location data into Polar and both channels finally share one statement.

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The shop floor, on the same P&L as online.

Transactions, locations and staff data from Vend, modelled next to your online orders, so revenue, margin and customers cover both channels on one definition.
In-store sales
"Where is retail in my numbers?"
Store transactions and revenue blended with your online orders.
store + online
Margin by location
"Which stores earn?"
Contribution margin per location, on real cost of goods.
per location
Product mix by channel
"What sells where?"
Which SKUs work in store and which only work online.
channel mix per SKU
Omnichannel customers
"Is it the same customer?"
Where identity allows, the same person recognised across both channels.
one customer
Staff & hours
"When do we actually sell?"
Revenue by hour and by staff, against the cost of being open.
revenue per hour
One P&L
"Retail lives in a silo."
Store revenue next to online, ads and cost of goods on one statement.
in the P&L
Setup Guide

How to Connect Vend to Polar.

A Polar account with Shopify connected, admin on your Vend account, and Polar's AI Data Engineer, which builds the connector from a plain-language request.
Polar

A Polar account with Shopify

A Polar account with Shopify connected. Vend data only means something read against the orders behind it.

Connect your data →
Vend

Your Vend account

Admin access to Vend, with transaction and location reporting for the stores you operate.

Open Vend →

Polar's AI Data Engineer

No native Vend connector yet? Describe what you need in plain language and the AI Data Engineer reads the Vend API, writes the connector and pipes it into your warehouse, in minutes.

1

Ask for the connector ~ minutes

Plain language, no code.
Tell Polar's AI Data Engineer what you want from Vend in plain language. It reads the source documentation, lays out everything the API offers by category, then writes the connector and pipes the data into your warehouse as governed data. No code, and it ships in minutes.
Worth knowing: this also works on connectors you already have. If the Vend API exposes a field, you can have it, down to a single hidden one the standard connector never pulled.
2

Transactions blended automatic

Store, meet online.
Polar models Vend transactions into the same governed layer as your online orders, so revenue, AOV and contribution margin cover both channels on one definition.
3

Location and customer view the payoff

Omnichannel, actually.
Location performance sits next to online demand, and where customer identity allows, the same customer is recognised across both, so cross-channel behaviour stops being guesswork.
Get started

One business, not two dashboards.

Bring Vend in and read store revenue, margin and customers next to your online channel.

Side by side

Vend rings the sale. Polar reports the business.

Store transactions live in the till system and online orders live somewhere else, so retail and ecommerce get reported as two companies. Polar models both into one definition, with margin per location and the same customer recognised across channels.
Vend

Vend on its ownon its own

Vend+

Vend with Polarblended

Store and online are two dashboards and two strategies.
Both channels on one blended P&L, one definition.
A location reports revenue with no cost of goods behind it.
Contribution margin per location, on real cost.
The same customer counts twice, or not at all.
One customer across channels, where identity allows.
Product mix per channel is guesswork.
What sells in store and what only sells online, per SKU.
The Gap

The connector is only half of it.

Once Vend is modelled against your real orders inside Polar, you can use the result wherever you already work. Ask Polar in plain language, pull it live through the Polar MCP, or schedule it into the report your team reads every morning.
Vend

Vend

transactions, locations, staff
Polar

Polar

net profit, blended margin

Ask Polar

Polar MCP

Scheduled reports

Featured Use Case

Retail and online, one business.

Two dashboards produce two strategies. On one statement, with margin per location and product mix per channel, the trade-offs are finally visible.
V Retail and online Illustrative
Metric
This week
WoW
Net revenue
$482,100
+6%
Orders
3,240
+4%
Blended CAC
$38
-9%
New vs repeat
42 / 58
-3pts
Email revenue
$71,400
+12%
Both channels on one statement, with margin per location. Illustrative figures.

One definition

Blended

Net sales and margin mean the same thing whether the order came through a till or a checkout, which is the only way channel mix is meaningful.

Location by location

No SQL

A store's revenue says little without its cost of goods and its mix. Margin per location turns retail reporting into a profit conversation.

Your Prompt Library

15 prompts a connected Vend unlocks.

Retail against online, margin by location, product mix per channel and revenue per hour.
Type
Audience
15 of 15
Get started · connect once · one P&L

Vend reported the shop. Polar reports the business.

Bring transactions, locations and staff data into Polar and read retail next to online on one blended P&L.

Phase 1 ~5 minConnect your data in PolarConnect Shopify and your stack. Polar's semantic layer turns it into governed metrics, then wait for the first sync.
Phase 2 ~ minutesBring Vend inDescribe what you need in plain language; the AI Data Engineer writes the connector and pipes it into your warehouse.
Phase 3 the payoffRead one businessStore and online revenue on one definition, with margin per location.