---
title: "Omnichannel commerce: what it is and how consumer brands deliver it"
description: "Omnichannel commerce keeps one customer, cart, and inventory view behind store, web, app, and messaging. Get the examples, stack, and steps to build yours."
canonical_url: "https://www.braze.com/resources/articles/omnichannel-commerce"
language: "en-US"
datePublished: "2026-10-27T19:05:00.000Z"
publisher: "Braze"
---

# Omnichannel commerce: what it is and how consumer brands deliver it

Omnichannel commerce: what it is and how consumer brands deliver it

Omnichannel commerce is a way of running your retail business so customers can shop, pay, collect, return, and get help across your store, website, app, and messaging as one continuous experience with the same cart, inventory view, and customer record behind every touchpoint. Omnichannel commerce sits alongside [omnichannel marketing](https://www.braze.com/resources/articles/what-does-omni-channel-marketing-mean-to-customers): marketing covers how a brand communicates across channels, while commerce covers how it sells, fulfills, and serves customers. When both draw on the same customer profile, what you say and what you deliver stays in sync.

If there’s more than one place where customers can make a purchase, then this guide is for you. We’ll take a look at the tech stack and systems teams can use to deliver an engaging experience.

### TL;DR

- Omnichannel commerce lets customers shop, pay, collect, return, and get help across stores, your website, app, and messaging as one continuous experience with the same cart, inventory view, and customer record behind every step.
- Everyday moments like buying online and picking up in store, finishing an app cart on the web, or returning an online order in store show where those shared elements hold the experience together.
- The stack has five layers: commerce platform, order management system, point of sale, customer data, and engagement. No single product covers all five, and the experience shoppers notice comes from the data and engagement layers reading from the same profile.
- Brands build in stages as their engagement program matures, from unifying identity and inventory to connecting journeys, personalizing from the shared profile, and measuring lift against a control group.

## What is omnichannel commerce?

Omnichannel commerce is a way of [running a retail business](https://www.braze.com/solutions/retail-and-ecommerce) so that customers can shop, pay, collect, return, and get help across your store, website, app, or messaging as one continuous experience with the same cart, inventory view, and customer record behind every touchpoint.

Shoppers already move between touchpoints within the span of a single purchase, and every handoff is a point where a brand either keeps or loses them. An omnichannel commerce experience needs to share four things across every channel.

1. **Customer identity resolution:** The same person is recognized in store, on your website, in your app, and in a message thread, whether they sign in, scan a loyalty card, or reply to a text. Without a shared identity, a regular customer looks like a stranger every time they switch channels.
2. **Inventory:** There's one view of what's available where, across stores, warehouses, and stock in transit. That view keeps the website from promising what a store can't hand over, and lets a message tell a shopper exactly where an item is in stock.
3. **The cart and order:** A cart started in one place can be finished in another, and an order placed online can be collected, exchanged, or returned somewhere else. One order record follows the purchase from checkout to return.
4. **The conversation:** A question asked on one channel is answered with knowledge of previous conversations on other channels. For example, a shopper asking about a delivery by message shouldn't have to repeat their order number or explain what they bought.

## Omnichannel commerce vs. multichannel vs. unified commerce

These three terms are often used interchangeably, but each describes a different level of connection between where a brand sells. The quickest way to tell them apart is to ask what those places share.

- **Multichannel commerce** means selling in several places, such as stores, a website, an app, and marketplaces, that don't share data. The test: if store staff can't see a customer's online order, or an in-store return never shows up in their online account, the setup is multichannel.
- **Omnichannel commerce** means everywhere you sell shares the customer, inventory, and order, so the experience carries from one channel to the next. The test: a shopper can start a purchase in one channel, finish it in another, and return it in a third without repeating themselves.
- **Unified commerce** is the industry's newer term for running everything on one commerce backbone, with catalog, inventory, orders, and customer records held in a single system instead of separate systems stitched together. The test: stock, orders, and customer data live in one system of record, with no syncing between platforms.

| Model | What's shared | Quick test |
| --- | --- | --- |
| Multichannel commerce | Nothing, since each channel runs on its own data | Store staff can't see online orders |
| Omnichannel commerce | Customer, inventory, and order across channels | A purchase can start, finish, and be returned in different channels |
| Unified commerce | Everything, on one commerce backbone | Stock, orders, and customer records sit in one system |

The same labels also come up when teams are [choosing a platform to run email, SMS, push, and in-app campaigns](https://www.braze.com/resources/articles/cross-channel-marketing-platform). In that context, they describe how messages are coordinated. In this one, they describe how the purchase itself moves between channels.

### Unified commerce vs. omnichannel commerce

Unified commerce is one way to deliver omnichannel commerce. Omnichannel commerce describes the experience a customer gets, while unified commerce describes one way of building the systems behind it. A brand can reach similar results by connecting a separate commerce platform, order management system, point of sale, and customer relationship management (CRM) system, or by consolidating them into a single system. Either route works as long as the customer, inventory, and order stay in sync across every channel.

## Omnichannel commerce examples across the customer journey

Omnichannel eCommerce is easiest to picture at the moments when a shopper crosses from one channel to another. Each of the five moments below depends on a different shared piece of the operation, and each one looks very different to the shopper when that piece is missing.

### Example 1: Buy online, pick up in store

**The situation:** A shopper orders a jacket on the website at lunchtime and wants to collect it from a store near the office on the way home.

**What has to connect:** Inventory and identity. The website needs an accurate view of stock at that specific store before it offers pickup, and the store needs to recognize both the shopper and the order when they arrive. The ready-for-pickup message should go out once the item is set aside, on the channel the shopper responds to most.

**When it's not connected:** The site offers pickup from a store that sold its last jacket an hour earlier. Or the order is ready, but the notification never arrives, and the shopper turns up to find staff searching for an order they can't see.

**Best for:** Retailers with a physical store network and a website or app that already takes orders.

### Example 2: Start a cart in the app, finish on the web

**The situation:** A shopper fills a cart in the app on the train, then sits down at a laptop that evening to check out on the website.

**What has to connect:** Cart continuity. When the shopper signs in on the web, the same items, sizes, and applied offers should be waiting. If they leave without buying, any [abandoned cart reminder](https://www.braze.com/resources/articles/abandoned-cart-email) should reflect the cart as it stands now, whichever device it was last touched on, and stop as soon as they buy in either place.

**When it's not connected:** The web cart is empty, so the shopper has to rebuild it or gives up. Or they buy on the web and still get a push notification from the app the next morning about items they've already paid for.

**Best for:** Brands with a well-used shopping app alongside a website, where customers often browse on mobile and buy on desktop.

### Example 3: Back-in-stock and low-stock alerts across channels

**The situation:** A shopper wanted an item that sold out in their size, or left something in their cart that's now running low.

**What has to connect:** Inventory feeding messaging. Stock levels need to reach the systems that send messages, so alerts go out when an item comes back or runs low, to the people who wanted it, with an accurate picture of what's left.

**When it's not connected:** Alerts arrive after the restocked item has sold out again, or a low-stock message goes out for something with plenty left, which teaches shoppers to ignore the next one.

![A mobile 24S shopping page highlights a Zimmermann maxi dress with only a few pieces left and recommends bags, a hat, and a scarf.](https://cdn.sanity.io/images/b7pblshe/marketing-prod/77ab28586ed51f4377cdb7dae768819e47cef76a-2400x1210.png)

**Best for:** Brands with fast-moving or limited inventory, such as fashion, beauty, and luxury, where sell-outs are common, like luxury retailer [24S](https://www.braze.com/customers/24s-case-study). 24S fed item-level stock data into Braze to send low-stock alerts on abandoned carts, and added AI product recommendations to their back-in-stock alerts. The back-in-stock campaign, run with AI Item Recommendations, achieved a 7% increase in add-to-cart rate within a six-month period. The abandoned cart and low-stock urgency campaign also drove a 35% increase in purchase conversion rate (three-day purchase) within a six-month period.

### Example 4: Buy online, return in store

**The situation:** A shopper orders two sizes of the same shoes online, keeps one pair, and returns the other at a physical store over the weekend.

**What has to connect:** Order continuity. The store needs to find the online order from a name, email address, or phone number, refund it to the original payment, and include the item in inventory available on the website. The customer record should update too, so future messages reflect the return.

**When it's not connected:** Staff can't find the order, so the shopper is told to mail it back instead. Or the return goes through, but the next email recommends the size they just returned, while the shoes sit in the stockroom and the website shows them as sold out.

**Best for:** Apparel and footwear brands, and any retailer with a store network and frequent online returns.

### Example 5: A delivery or sizing question answered in a message thread

**The situation:** A shopper messages the brand on WhatsApp to ask when an order will arrive, then asks whether a jacket on their wishlist runs small.

**What has to connect:** Conversation continuity. The thread needs access to the shopper's orders, delivery status, and purchase history, so answers draw on what they bought and the size they usually take. This is where [conversational commerce](https://www.braze.com/resources/articles/conversational-ai-for-marketing) comes in, turning the message thread itself into a place to buy.

**When it's not connected:** The shopper is asked for an order number they don't have on hand, then passed to a different team to ask about sizing, then receives a promotional message about the same jacket an hour later.

**Best for:** Brands whose customers already message them, especially in markets where messaging apps are a common way to contact businesses.

## What an omnichannel commerce stack looks like

When vendors describe an "omnichannel commerce platform," they usually mean the commerce layer, the system that runs the catalog, cart, and checkout. In practice the stack has five layers: commerce platform, order management, point of sale, customer data, and engagement. No single product covers all five for an enterprise brand.

### Omnichannel commerce solutions

The commerce platform, order management system, and point of sale handle the transaction, but a consistent consumer experience comes from the data and engagement layers reading from one unified customer profile. Here's what an omnichannel commerce stack looks like:

#### The commerce platform

The commerce platform runs the catalog, product pages, pricing, promotions, cart, and checkout. Many enterprise brands now run it as headless commerce, with the storefront separated from the commerce engine, so the same cart and checkout can serve the website, app, and any other front end.

#### The order management system

The order management system holds a single view of inventory across stores, warehouses, and stock in transit, and decides where each order is fulfilled from. It handles buy online, pick up in store, ship-from-store, and returns, and it keeps the single order record that follows a purchase from checkout to return.

#### The point of sale

The point of sale handles store transactions, returns, and loyalty lookups. In an omnichannel setup, it also needs to find online orders and write in-store sales back to the customer's record, so a purchase at the till counts as much as one on the website.

#### The customer data layer

The customer data layer resolves identity. It matches email addresses, phone numbers, loyalty IDs, app devices, and anonymous browsing sessions into one profile, and it holds first-party data such as purchase history, preferences, and consent. Loyalty program integration usually sits here too, so points and tier status stay the same across every channel.

#### The engagement layer

The engagement layer runs messaging and journeys across email, push, SMS, in-app, WhatsApp, and web. It decides who receives which message, on which channel, and when, and it carries the post-purchase experience, from order confirmations to replenishment reminders. A customer engagement platform does this from one customer profile, so the system choosing the next message is the same one that sees the latest purchase or return.

#### What to consider for each layer

If you're developing your omnichannel stack, you should consider these questions for each layer.

1. **Commerce platform:** Does the cart follow a shopper between the app and the website, and do cart changes reach other systems as they happen?
2. **Order management system:** Can every channel, including messaging, see what's in stock at each location?
3. **Point of sale:** Can store teams find online orders, and do in-store purchases and returns update the customer's record?
4. **Customer data layer:** When one shopper uses an email address online, a phone number in store, and a loyalty ID in the app, do those end up in one profile, alongside their consent choices?
5. **Engagement layer:** Is the next message decided from the same profile that records the latest purchase, return, or conversation?
6. **Identity across layers:** Which identifier do all five layers recognize, and what carries over when a shopper moves from browsing anonymously to signing in?

## How to build an omnichannel commerce strategy in five steps

Most engagement programs build toward omnichannel commerce in the same order, whatever the size of the business. Programs just starting out tend to run each channel on its own data, so the first job is connecting identity and inventory. As a program matures, teams start working across departments, testing more often, and acting on data as it comes in, which is where connected journeys, shared personalization, and cross-channel engagement take over.

### 1. Unify identity first

Build one customer record that follows a shopper across stores, your website, app, and messaging. Agree which identifiers link a person across systems, such as email address, phone number, and loyalty ID, then bring their purchases, browsing, and consent choices into that record. Every later step depends on it.

### 2. Make inventory visible to every channel, including messaging

Stock levels by location should reach the website, app, in-store teams, and the systems that send messages. That's what keeps a pickup offer, a low-stock alert, or a back-in-stock message accurate when a customer receives it.

### 3. Choose the journeys that must be continuous, and track them end to end

Pick the journeys that cross channels and locations, such as an order placed online, collected at one store, and returned at another. Record each step in whichever system handles it, so the whole journey can be followed from start to finish and a break at any handoff is easy to spot. These journeys usually cross teams, so store operations, eCommerce, and CRM teams need to agree on who owns each step.

### 4. Personalize from the shared profile

[eCommerce personalization](https://www.braze.com/resources/articles/ecommerce-personalization-guide) means recommendations, offers, and timing draw on everything a customer has done, in store and online. Each shopper's experience reflects their interests and behavior on whichever channel they choose to engage with.

### 5. Measure across channels

Channel reports show opens and clicks, while omnichannel commerce shows up in outcomes like repeat purchase, pickup completion, and repurchase after a return. Holding back a global control group shows how much of that change the program caused, and regular testing against it shows what to improve next.

The most mature programs run their engagement around the full customer lifecycle, working from data as it arrives. At that stage, AI in eCommerce helps teams keep pace without building every rule by hand. It can predict which shoppers are likely to buy again or lapse, test journey variations continuously, and point to the handoffs where drop-off is rising.

## How Braze fits into an omnichannel commerce stack

Braze sits in the engagement layer of your tech stack. Braze connects to your commerce platform, order management system, and point of sale system, turning what happens in each into the next message a shopper receives.

### One profile, built from commerce, inventory, and store data

The [Braze Data Platform](https://www.braze.com/product/braze-data-platform) brings commerce, inventory, and store events into a single customer profile. Identity resolution merges records using identifiers such as email address, phone number, and custom IDs, and anonymous browsing can be tied to a shopper once they're known. For brands that keep their data in a cloud warehouse such as Snowflake, Databricks, or Google BigQuery, zero-copy connections let teams build audiences and trigger messages directly from the warehouse, with no need to duplicate the data. Events stream in as they happen, so a purchase at the till or a change in inventory can start or stop a journey right away.

### Journeys that follow the shopper across channels

[Journey orchestration](https://www.braze.com/product/journey-orchestration) in Braze carries a shopper's state across email, push, SMS, in-app, WhatsApp, and web. [Braze sends on those channels natively](https://www.braze.com/product/cross-channel-messaging), from the same place the journey runs, so a cart started in the app can be followed up on the web, and a purchase in either place ends the reminders. Signals from one channel can trigger messages on another.

### Decisions made from the shared profile, with lift you can measure

[BrazeAI™](https://www.braze.com/product/brazeai) selects which message, channel, and send time each shopper receives, working from the same shared profile. [BrazeAI Decisioning Studio™](https://www.braze.com/product/brazeai-decisioning-studio) goes further, using reinforcement learning to choose the message, offer, channel, timing, and frequency for each person based on how customers respond. To show what that work is worth, brands can hold back a global control group of 1% to 15% of their audience, or use campaign-level control groups, and measure the lift in purchases, pickups, or any other tracked event against shoppers who received nothing.

## Where omnichannel commerce is going

Shoppers are starting to purchase inside message threads, through AI agents acting on their behalf, and from stores that double as pickup and returns points. Each new place a purchase can start or finish needs the same customer profile, cart, and inventory view. The systems behind the experience have to connect to more channels, share data faster, and keep identity consistent even when the shopper isn't the one clicking.

### Omnichannel commerce trends

These four omnichannel commerce trends each put new demands on your tech stack.

#### Conversation becomes a transaction channel

Messaging apps are moving from customer service into selling, with shoppers browsing, asking questions, and completing purchases inside a single thread. This means your messaging channels need the same real-time access to catalog, cart, inventory, and order data as the website and app.

#### Agents act for shoppers and for brands

AI agents are starting to research, compare, and buy on shoppers' behalf, while brands deploy their own agents to personalize and run agentic commerce journeys. Product and inventory data need to be structured so that agents can read it, and purchases made through an agent need to land in the same customer profile as every other order.

#### Stores become fulfillment and service nodes

Stores increasingly handle pickups, returns, and ship-from-store orders alongside walk-in sales, and act as places to get help with online purchases. Your order management system needs accurate store-level inventory, and store events such as pickups and returns need to reach the customer profile as they happen.

#### First-party data takes over from third-party signals

Brands are relying more on the data customers share with them directly, such as purchases, preferences, and consent choices, and less on signals bought or tracked from elsewhere. The more engaged customers are, the richer that data becomes. Customer data and engagement layers will become your main source for targeting and personalization, so [first-party data](https://www.braze.com/resources/articles/first-party-data) collection and consent management need to work the same way across every channel.

**See how consumer brands connect store, web, app and messaging into one customer experience with Braze.**

## Omnichannel eCommerce FAQs

### What is omnichannel commerce?

Omnichannel commerce is a way of running a retail business so customers can shop, pay, collect, return, and get help across your store, website, app, and messaging as one continuous experience, with the same cart, inventory view, and customer record behind every touchpoint. It depends on four shared elements: customer identity, inventory, the cart and order, and the conversation.

### What is the difference between omnichannel commerce and omnichannel marketing?

[Omnichannel marketing](https://www.braze.com/resources/articles/what-does-omni-channel-marketing-mean-to-customers) covers how a brand communicates across channels, while omnichannel commerce covers how it sells, fulfills, and serves across them. Marketing coordinates messages, offers, and timing. Commerce connects the cart, inventory, orders, pickups, and returns. Both draw on the same customer profile, so what a shopper buys in one channel shapes what they hear in the next.

### What is the difference between omnichannel and unified commerce?

Unified commerce is one way to deliver omnichannel commerce. Omnichannel commerce describes the connected experience a customer gets across store, web, app, and messaging. Unified commerce describes running that experience on one commerce backbone, with catalog, inventory, orders, and customer records in a single system instead of separate systems connected together.

### What does an omnichannel commerce platform do?

An omnichannel commerce platform usually runs the commerce layer: the catalog, pricing, cart, and checkout that every storefront uses. It's one of five layers in the stack, alongside order management, point of sale, customer data, and engagement. No single product covers all five for an enterprise brand, so the platform has to share data with the other layers.

### How do brands measure omnichannel commerce?

Brands measure omnichannel commerce by outcomes across channels, such as repeat purchase rate, pickup completion, and repurchase after a return. To see what their engagement program caused, they hold back a control group that receives no messages and compare its behavior with shoppers who did.

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*Published 2026-10-27T19:05:00.000Z · canonical lives at https://www.braze.com/resources/articles/omnichannel-commerce*