ChatGPT answers, unedited
"we're building an omnichannel experience across web and in-store screens, which headless commerce platform supports unified APIs?", asked on ChatGPT about once a day from the United States. The last 15 answers, newest first, exactly as given: the raw data behind the Ecommerce Platforms live demo.
Week of 24th to 30th Aug 2026 (in progress)
Yes. If your goal is one commerce backend powering both web and in-store screens through the same APIs, I’d shortlist these:
| Platform | Fit for web + in-store | Why |
|---|---|---|
| commercetools | Excellent | Strong API-first architecture, explicit support for physical stores, channels, inventory, pricing, carts and orders. Its Store model can represent physical retail locations as well as online experiences. Commercetools commercetools Documentation commercetools Documentation |
| BigCommerce | Very good | Mature REST + GraphQL APIs, multiple storefront channels, and strong headless support. Particularly attractive if web is the primary channel and in-store is a custom application/kiosk. BigCommerce BigCommerce BigCommerce |
| Medusa | Good | API-first and highly customizable. Its sales-channel architecture and REST Store APIs make it straightforward to build multiple storefronts, but you'll likely own more of the omnichannel/POS integration yourself. Medusa Docs Medusa Docs |
My pick: commercetools
For the architecture you're describing, commercetools is probably the strongest fit.
The important distinction is that you don't want:
Web storefront → commerce API
In-store screen → separate POS API
→ synchronize them afterward
You want:
Web UI ─┐
In-store UI ─┼→ shared commerce APIs → catalog / pricing / inventory / customer / cart / order
Mobile UI ─┘
commercetools' model is particularly well suited to that because Stores can represent physical retail locations or regions, while distribution/supply channels let you control assortment, prices and inventory. commercetools Documentation commercetools Documentation
For example, an in-store screen could use the same underlying product/catalog APIs as your website, but be scoped to:
Store = Boston Flagship
Inventory = Boston
Price = Retail
Assortment = Flagship assortment
while the web experience could use:
Store = Online US
Inventory = E-commerce warehouses
Price = Online
That gives you one commerce model with channel-specific context, rather than maintaining separate commerce implementations.
BigCommerce is the better alternative if you prioritize faster implementation and a more conventional SaaS commerce platform. Its headless APIs explicitly support storefronts such as websites, native apps and kiosks, and its channel model is quite mature. BigCommerce BigCommerce
If you tell me whether the in-store screens are POS checkout terminals, associate tablets, customer-facing kiosks, or digital signage, I can narrow this to the best 2–3 architectures and show what the API layer would look like.
Behind this answer: no web searches, 3 tracked brands mentioned
ChatGPT answered from its own knowledge, without searching the web.
Tracked brands mentioned
Week of 17th to 23rd Aug 2026
Answer 2 of 15, 23rd Aug 2026, gpt-5-6, mentions 3 tracked brands
Yes. For one commerce backend serving both web and in-store screens, I’d put commercetools at the top of the shortlist.
| Platform | Unified API model | In-store fit | Best for |
|---|---|---|---|
| commercetools | REST + GraphQL, API-first | Excellent — dedicated InStore/POS capabilities | Enterprise omnichannel |
| Saleor | GraphQL-native | Good, but more build-your-own | Developer-led, composable stacks |
| Medusa | REST APIs + modular architecture | Good, but requires more custom orchestration | Flexible/open-source builds |
| Swell | REST/Backend + Frontend APIs | Moderate | Smaller/mid-market custom experiences |
My recommendation: commercetools
The important distinction is that commercetools isn't merely saying "you can call our APIs from multiple channels." Its current platform explicitly combines B2C, B2B, InStore and other channels on one commerce foundation. Its Store model can represent physical retail locations, with store-scoped APIs for carts, orders, products, etc. commercetools.com
It also has commercetools InStore, which provides POS, clienteling, checkout, inventory/fulfillment, returns, and physical payment capabilities. That makes it particularly relevant if your "in-store screens" eventually become interactive kiosks or assisted-selling terminals rather than just digital signage. docs.commercetools.com
A useful architecture would be:
Web storefront
↕
Shared commerce APIs / orchestration
↕
Products · pricing · customer · inventory · cart · order
↕
In-store kiosk / associate screen / POS
That gives you the possibility of the same cart/customer/inventory context following someone between web and store rather than maintaining separate commerce implementations.
When I'd choose the others
- Saleor if your team strongly prefers GraphQL and wants maximum frontend/control flexibility. Saleor describes its platform as GraphQL-native with a single backend supporting multiple channels/storefronts. saleor.io
- Medusa if you're comfortable owning more of the architecture. Its REST Store APIs and Sales Channel Module are explicitly designed to support multiple storefronts/channels. docs.medusajs.com
- Swell if you want a simpler API-first platform; notably, it says its features are available through a unified backend API that also powers its dashboard and checkout. www.swell.is
If you're building enterprise retail with web + kiosks + POS + shared inventory/customer/order state, I'd evaluate commercetools first. If the screens are primarily content/digital-signage displays rather than transactional, the choice becomes much more about your CMS/content architecture than the commerce platform itself.
Behind this answer: 4 searches, 27 results retrieved, 3 tracked brands mentioned
Searches ChatGPT ran
Search results ChatGPT retrieved
| # | Page | Used in the answer |
|---|---|---|
| 1 | https://developers.swell.is/storefronts/headless-storefront-guide?utm_source=chatgpt.com | not cited |
| 2 | https://developers.swell.is/?utm_source=chatgpt.com | not cited |
| 3 | https://www.swell.is/for-developers?utm_source=chatgpt.com | not cited |
| 4 | https://developers.swell.is/guides/core-concepts/platform-overview?utm_source=chatgpt.com | not cited |
| 5 | https://developers.swell.is/storefronts/overview?utm_source=chatgpt.com | not cited |
| 6 | https://www.swell.is/features?utm_source=chatgpt.com | not cited |
| 7 | https://developers.swell.is/frontend-api/frontend-libraries/graphql?utm_source=chatgpt.com | not cited |
| 8 | https://developers.swell.is/apps/frontend?utm_source=chatgpt.com | not cited |
| and 19 more results | ||
Tracked brands mentioned
Answer 3 of 15, 22nd Aug 2026, unknown, mentions 2 tracked brands
Yes. For a web + in-store-screen architecture, I’d shortlist commercetools, Saleor, and Medusa—with commercetools probably the strongest enterprise fit.
| Platform | Unified API model | In-store fit | Best for |
|---|---|---|---|
| commercetools | API-first, broad commerce APIs; supports store/channel scoping | Excellent | Enterprise omnichannel |
| Saleor | GraphQL-native, API-only, native multi-channel | Excellent | Teams wanting maximum frontend control |
| Medusa | REST Store APIs + modular architecture + sales channels | Good | Highly customized/open architecture |
My recommendation: commercetools
commercetools is particularly aligned with what you're describing. Its headless architecture is explicitly designed to let web, mobile, kiosks and other touchpoints operate against the same commerce foundation. Its current platform also has an InStore capability intended to unify online and physical retail experiences. commercetools commercetools
It also has explicit Store-scoped APIs, so you can model individual physical locations or other shopping contexts and scope carts, orders, products, etc. to them. Commercetools Documentation Commercetools Documentation
Saleor is a very strong alternative
Saleor is especially attractive if your team is engineering-heavy. It's GraphQL-only/API-only, supports native multi-channel configuration, and lets different frontends consume the same commerce API. Its channels can have their own pricing, currencies, inventory, products and related configuration. GitHub Saleor Commerce
That makes a setup like:
Web storefront → Saleor API ← In-store touchscreen
Mobile app → Saleor API
POS/services → Saleor API
quite natural.
One architectural distinction I'd make
Don't just ask whether the platform has "unified APIs." For your use case, I'd evaluate whether the same underlying customer, cart, inventory, pricing, promotion, and order model can be accessed consistently from both experiences.
For example, your in-store screen should ideally be able to:
- identify the customer
- show location-specific inventory
- access the same product/catalog data as web
- create or resume the same type of cart
- apply the same promotions/pricing rules
- support pickup/ship-to-home
- create an order that appears in the same customer/order history
Saleor explicitly documents click-and-collect and multi-channel capabilities, while commercetools has dedicated in-store APIs/capabilities, so both are worth serious evaluation. Saleor Documentation commercetools
If you're an enterprise with physical retail: I'd start with commercetools.
If you're building a highly custom experience and want GraphQL/open-source control: I'd start with Saleor.
If you want a more developer-controlled modular stack: look at Medusa; its documentation specifically describes using multiple storefronts against one commerce backend and its Sales Channel Module for omnichannel scenarios. Medusa Docs Medusa Docs
If you tell me your number of stores, POS system, ERP, and whether the in-store screens need checkout or are primarily assisted-selling/kiosk screens, I can narrow this to a concrete architecture and platform choice.
Web storefront → Saleor API ← In-store touchscreen
Mobile app → Saleor API
POS/services → Saleor API
quite natural.
One architectural distinction I'd make
Don't just ask whether the platform has "unified APIs." For your use case, I'd evaluate whether the same underlying customer, cart, inventory, pricing, promotion, and order model can be accessed consistently from both experiences.
For example, your in-store screen should ideally be able to:
Behind this answer: no web searches, 2 tracked brands mentioned
ChatGPT answered from its own knowledge, without searching the web.
Tracked brands mentioned
Answer 4 of 15, 21st Aug 2026, gpt-5-6, mentions 3 tracked brands
Yes. If “unified APIs” means one commerce backend powering both your headless web experience and in-store screens/POS, I’d put commercetools at the top of the shortlist.
| Platform | Web headless | In-store / POS | Unified commerce data | Best fit |
|---|---|---|---|---|
| commercetools | Excellent | Excellent with InStore | Strong | Enterprise omnichannel / composable |
| Shopify | Excellent | Excellent with Shopify POS | Strong | Faster implementation / less custom infrastructure |
| Salesforce Commerce Cloud | Excellent | Strong, especially with Salesforce ecosystem | Very strong | Enterprises already invested in Salesforce |
Why I'd favor commercetools
Its architecture is particularly aligned with what you're describing: the same API-first commerce foundation can serve websites, mobile, kiosks, and physical retail. Its current InStore offering explicitly connects ecommerce, store operations, inventory, customer and transaction data on one platform. commercetools.com
It also has store-scoped APIs, so a physical store can operate against the same underlying carts, orders, products and inventory model rather than maintaining a separate commerce stack. docs.commercetools.com
Shopify is a very good alternative if speed and operational simplicity matter more than architectural flexibility. Its Storefront API supports custom web experiences, while its Admin API manages availability across online stores and POS; Shopify also provides native omnichannel capabilities such as buy-online-pickup-in-store and buy-in-store/ship-to-home. www.shopify.com
Salesforce makes sense if CRM/customer identity, personalization, and Salesforce integration are central. Its Commerce APIs expose shopper and admin functionality, while Salesforce also provides APIs for Omnichannel Inventory. developer.salesforce.com
My recommendation:
- Complex enterprise retail + custom in-store screens + unified inventory/order/customer model → commercetools
- Want the fastest route to web + POS → Shopify
- Deep Salesforce ecosystem / CRM-led personalization → Salesforce
If you tell me whether the in-store screens are POS terminals, associate/clienteling screens, digital signage, or customer self-service kiosks, I can narrow this to the best 2–3 architectures.
Behind this answer: 4 searches, 29 results retrieved, 3 tracked brands mentioned
Searches ChatGPT ran
Search results ChatGPT retrieved
| # | Page | Used in the answer |
|---|---|---|
| 1 | https://help.salesforce.com/s/articleView?id=commerce.oci_impl_apis.htm&language=en_US&type=5&utm_source=chatgpt.com | not cited |
| 2 | https://help.salesforce.com/s/articleView?id=commerce.oci_impl_api_access.htm&language=en_US&type=5&utm_source=chatgpt.com | not cited |
| 3 | https://help.salesforce.com/s/articleView?id=000388941&language=en_US&type=1&utm_source=chatgpt.com | not cited |
| 4 | https://developer.salesforce.com/docs/commerce/commerce-api/references/about-commerce-api/about.html?utm_source=chatgpt.com | not cited |
| 5 | https://www.salesforce.com/commerce/headless/?bc=OTH&utm_source=chatgpt.com | not cited |
| 6 | https://commercetools.com/products/instore?utm_source=chatgpt.com | not cited |
| 7 | https://commercetools.com/commerce-platform?utm_source=chatgpt.com | not cited |
| 8 | https://commercetools.com/solutions/for-retail?utm_source=chatgpt.com | not cited |
| and 21 more results | ||
Tracked brands mentioned
Answer 5 of 15, 20th Aug 2026, gpt-5-6, mentions 2 tracked brands
Yes. For your use case—one commerce backend powering both web and in-store screens—I’d shortlist these:
| Platform | Unified API / backend | In-store fit | Best for |
|---|---|---|---|
| commercetools | Excellent — REST + GraphQL, API-native | Excellent | Enterprise omnichannel/composable commerce |
| Saleor | Excellent — GraphQL-native | Very good | Developer-led, highly customizable experiences |
| BigCommerce | Very good — REST + GraphQL | Good | Faster implementation with less platform engineering |
My pick: commercetools
For a genuinely unified web + physical experience, commercetools is probably the strongest fit. Its current platform explicitly supports B2C, B2B and InStore capabilities, with commerce functionality exposed through APIs. commercetools.com
More importantly, its model lets you define Stores and Channels and associate them with physical retail locations or online stores, while sharing product availability, inventory and pricing strategies. docs.commercetools.com
That means you could have something like:
Commerce backend
→ Catalog
→ Pricing/promotions
→ Customer
→ Cart
→ Inventory
→ Orders
→ Checkout
…and expose the same underlying commerce capabilities to:
www.brand.com- in-store touchscreen
- associate tablet
- kiosk
- mobile app
- potentially future AI/voice experiences
That's much closer to "one commerce brain, many experiences" than treating the website and store screens as separate storefronts.
Saleor is the other one I'd seriously evaluate
Saleor is particularly attractive if your engineering team wants maximum frontend freedom. It's GraphQL-native, supports multiple channels from a single backend, and explicitly supports experiences across web, retail and other channels. saleor.io
I'd choose Saleor over commercetools if open-source/control and a GraphQL-first architecture are major priorities.
BigCommerce
BigCommerce can absolutely power headless web and custom experiences: its GraphQL Storefront API handles catalog, customer, cart and checkout, and its headless architecture supports essentially any frontend, including kiosks/apps. docs.bigcommerce.com
Its channel model also lets you configure separate storefront experiences while maintaining the commerce backend. docs.bigcommerce.com
Bottom line: if "unified APIs across web + physical retail" is a core architectural requirement rather than just "we need a headless website," I'd start with commercetools, then compare Saleor and BigCommerce against it.
If you tell me your B2C/B2B mix, number of stores, POS requirements, and whether inventory needs to be real-time across locations, I can narrow this to a 2–3 platform architecture comparison.
Behind this answer: 2 searches, 19 results retrieved, 2 tracked brands mentioned
Searches ChatGPT ran
Search results ChatGPT retrieved
| # | Page | Used in the answer |
|---|---|---|
| 1 | https://commercetools.com/headless-commerce?utm_source=chatgpt.com | not cited |
| 2 | https://docs.commercetools.com/api?utm_source=chatgpt.com | not cited |
| 3 | https://docs.commercetools.com/docs?utm_source=chatgpt.com | not cited |
| 4 | https://docs.commercetools.com/dev-tooling/mcp/overview?utm_source=chatgpt.com | not cited |
| 5 | https://commercetools.com/blog/mastering-omnichannel-commerce-with-an-api-orchestration-layer?utm_source=chatgpt.com | not cited |
| 6 | https://docs.commercetools.com/offering/commerce-b2c?utm_source=chatgpt.com | not cited |
| 7 | https://docs.commercetools.com/offering/products-overview?utm_source=chatgpt.com | not cited |
| 8 | https://commercetools.com/composable-commerce?utm_source=chatgpt.com | not cited |
| and 11 more results | ||
Tracked brands mentioned
Answer 6 of 15, 19th Aug 2026, gpt-5-6, mentions 4 tracked brands
For an omnichannel experience where web storefronts, mobile apps, kiosks, clienteling apps, and in-store screens all need to consume the same commerce capabilities, you’ll want a platform with:
- API-first/headless architecture
- Unified catalog, pricing, inventory, customer, cart, checkout, and order APIs
- Real-time inventory visibility across stores and online
- Support for custom front ends (React, Next.js, native apps, in-store UIs)
- Strong integration with OMS/POS/ERP systems
Platforms commonly evaluated for this use case:
| Platform | Unified API strength | Best fit |
|---|---|---|
| commercetools | Excellent — API-first, composable, strong product/catalog/cart/order APIs, supports in-store scenarios | Large retailers building custom omnichannel experiences |
| Salesforce Commerce Cloud | Strong headless APIs, customer data integration, inventory/order capabilities | Enterprises already invested in Salesforce ecosystem |
| Adobe Commerce | Good API coverage and extensibility | Brands needing deep customization |
| SAP Commerce Cloud | Strong enterprise integrations and omnichannel workflows | SAP-heavy enterprises |
| Shopify | Strong APIs and ecosystem, especially for faster launches | Mid-market to enterprise brands wanting speed |
A few architecture patterns:
1. Composable retail (most flexible)
Web / Mobile / Store Screens / Kiosks
|
Experience Layer
|
Headless Commerce APIs
|
Catalog | Pricing | Cart | Checkout | Orders
|
ERP | OMS | POS | Inventory
Best matches: commercetools, Salesforce headless, Adobe Commerce.
2. Store-as-a-channel approach
Your in-store screens behave like another digital storefront:
- same product APIs
- same customer identity
- same promotions
- same inventory service
- same checkout/order flows
For example, Salesforce positions its headless APIs as a way to connect touchpoints including in-store kiosks and other channels. www.salesforce.com commercetools similarly emphasizes API-first commerce with modular services and in-store capabilities. commercetools.com
My shortlist for a true unified web + physical retail experience:
- commercetools — if your team wants maximum frontend freedom and a composable architecture.
- Salesforce Commerce Cloud — if customer profiles, CRM, loyalty, service, and marketing are central.
- SAP Commerce Cloud — if ERP/store operations are deeply SAP-based.
- Adobe Commerce — if merchandising flexibility and custom commerce logic are priorities.
The biggest decision point is usually not the storefront APIs — most major platforms have them — but whether you want the commerce platform to also own customer identity, promotions, inventory orchestration, and order management, or whether those remain separate services.
Behind this answer: 1 search, 10 results retrieved, 4 tracked brands mentioned
Searches ChatGPT ran
Search results ChatGPT retrieved
| # | Page | Used in the answer |
|---|---|---|
| 1 | https://www.salesforce.com/commerce/headless/?bc=OTH&utm_source=chatgpt.com | not cited |
| 2 | https://help.salesforce.com/s/articleView?id=commerce.oci_impl_api_access.htm&language=en_US&type=5&utm_source=chatgpt.com | not cited |
| 3 | https://www.salesforce.com/commerce/headless/?bc=OTH&sfdc-redirect=340&utm_source=chatgpt.com | not cited |
| 4 | https://www.salesforce.com/commerce/headless/?sfdc-redirect=340&utm_source=chatgpt.com | not cited |
| 5 | https://www.salesforce.com/commerce/headless//?utm_source=chatgpt.com | not cited |
| 6 | https://developer.salesforce.com/docs/commerce/commerce-api/references/about-commerce-api/about.html?utm_source=chatgpt.com | not cited |
| 7 | https://help.salesforce.com/s/articleView?id=commerce.inv_omnichannel_inventory_headless_apis.htm&language=en_US&type=5&utm_source=chatgpt.com | not cited |
| 8 | https://docs.commercetools.com/docs?utm_source=chatgpt.com | not cited |
| and 2 more results | ||
Tracked brands mentioned
Answer 7 of 15, 18th Aug 2026, gpt-5-6, mentions 5 tracked brands
For a web + in-store screen experience, you’ll want a headless/composable commerce platform with a single commerce API layer so every channel consumes the same products, pricing, inventory, customer, cart, promotions, and order services.
Strong candidates:
| Platform | Why it fits omnichannel web + store screens | API approach |
|---|---|---|
| Salesforce | Strong enterprise option if you need unified customer data, promotions, inventory, order management, and in-store experiences such as kiosks or assisted selling | Commerce APIs expose shopper, product, cart, checkout, inventory, and order capabilities for custom front ends. developer.salesforce.combusiness.adobe.comwww.salesforce.com |
| Shopify | Good fit for brands wanting fast rollout and flexible custom storefronts | Storefront API and Customer Account API allow custom channels to consume Shopify commerce capabilities. shopify.dev |
| Adobe Commerce | Good for highly customized retail experiences and complex catalogs | GraphQL APIs support headless storefronts and omnichannel integrations. business.adobe.comwww.salesforce.com |
| commercetools | Built specifically around composable commerce; strong choice if you want separate services for web, POS, kiosks, apps, and IoT | API-first model with granular commerce services. |
| Swell | Developer-friendly for custom experiences and nontraditional channels | API-driven commerce backend. |
| Elastic Path | Good for enterprises building many touchpoints and business models | API-first commerce services. |
For your specific use case (web storefront + in-store digital screens), I’d evaluate them against these capabilities:
- Shared product and pricing APIs
- Same SKU data, merchandising rules, promotions, and availability everywhere.
- Real-time inventory
- Store screens should know store stock, warehouse stock, and fulfillment options.
- Unified customer identity
- A shopper browsing online should be recognized in-store if you support loyalty/clienteling.
- Order orchestration
- Buy online/pick up in store, ship-from-store, return anywhere.
- Content separation
- Pair commerce APIs with a headless CMS so marketing teams can manage screen content without deployments.
A typical architecture would look like:
Web React/Next.js
|
In-store screens / kiosks
|
Mobile app
|
↓
Commerce API layer
|
Products | Pricing | Cart | Checkout | Inventory | Orders
|
ERP / OMS / CRM / Loyalty
My shortlist by scenario:
- Large retailer with stores, POS, loyalty, and complex operations: Salesforce Commerce Cloud or commercetools.
- Mid-market brand wanting speed: Shopify headless.
- Highly custom retail ecosystem: commercetools or Elastic Path.
- Content-heavy store displays + commerce: Adobe Commerce + headless CMS.
The key architectural decision is less “which storefront framework?” and more which platform can make commerce capabilities channel-agnostic so your web and physical screens are just different clients of the same APIs. business.adobe.comwww.salesforce.com
Behind this answer: 1 search, 9 results retrieved, 5 tracked brands mentioned
Searches ChatGPT ran
Search results ChatGPT retrieved
| # | Page | Used in the answer |
|---|---|---|
| 1 | https://www.salesforce.com/commerce/composable/?bc=OTH&utm_source=chatgpt.com | not cited |
| 2 | https://www.salesforce.com/commerce/composable//?utm_source=chatgpt.com | not cited |
| 3 | https://www.salesforce.com/commerce/headless/?sfdc-redirect=340&utm_source=chatgpt.com | not cited |
| 4 | https://www.tcs.com/what-we-do/products-platforms/tcs-omnistore/solution/omnistore-ai-powered-composable-commerce?utm_source=chatgpt.com | not cited |
| 5 | https://www.tcs.com/what-we-do/products-platforms/tcs-omnistore?utm_source=chatgpt.com | not cited |
| 6 | https://www.tcs.com/what-we-do/products-platforms/tcs-omnistore/solution/omnistore-unified-composable-commerce-platform?utm_source=chatgpt.com | not cited |
| 7 | https://docs.propeller-commerce.com/getting-started/platform-architecture/?utm_source=chatgpt.com | not cited |
| 8 | https://docs.evolve-platform.com/?utm_source=chatgpt.com | not cited |
| and 1 more results | ||
Tracked brands mentioned
Answer 8 of 15, 17th Aug 2026, gpt-5-6, mentions 2 tracked brands
Yes. For web + in-store screens sharing the same commerce backend, I’d shortlist these:
| Platform | Unified API approach | Omnichannel fit | Best for |
|---|---|---|---|
| commercetools | REST + GraphQL, plus API orchestration | Excellent | Enterprise / complex retail |
| Saleor | GraphQL-only, API-first | Excellent | Developer-led, highly customized experiences |
| Medusa | REST APIs + modular commerce architecture | Very good | Teams wanting open-source flexibility |
My pick: commercetools
commercetools is particularly aligned with what you're describing. It explicitly supports a single commerce backend across channels, with centralized product, inventory, customer and order data. Its API orchestration capabilities can also expose multiple backend systems through a unified API to different customer-facing channels. commercetools.com
That means you could have:
Commerce backend
→ product/catalog
→ pricing/promotions
→ inventory
→ carts/checkout
→ customers
→ orders
and then expose those capabilities to:
Web storefront | In-store touchscreen | Mobile app | Associate tablet | Kiosk
without creating separate commerce logic for each experience.
commercetools API-first commerce
Strong alternative: Saleor
Saleor is especially compelling if your team wants a GraphQL-native, API-only architecture. Saleor describes itself as supporting a single API layer for all selling channels, with native channel controls for pricing, currencies, stock and products. github.com
So if your architecture is something like:
Next.js web → GraphQL → Saleor
React in-store UI → GraphQL → Saleor
that's a very clean model.
Bottom line: if you're an enterprise retailer and need sophisticated omnichannel orchestration, I'd start with commercetools. If you're a technically strong product team prioritizing API simplicity, GraphQL and maximum frontend control, I'd seriously evaluate Saleor.
If you tell me your stack (e.g. React/Next.js), ERP/PIM, POS system, and whether the in-store screens need checkout or are browse-only, I can narrow this to the best 2–3 architectures.
Behind this answer: 3 searches, 28 results retrieved, 2 tracked brands mentioned
Searches ChatGPT ran
Search results ChatGPT retrieved
| # | Page | Used in the answer |
|---|---|---|
| 1 | https://commercetools.com/api-commerce?utm_source=chatgpt.com | not cited |
| 2 | https://commercetools.com/composable-commerce?utm_source=chatgpt.com | not cited |
| 3 | https://commercetools.com/blog/mastering-omnichannel-commerce-with-an-api-orchestration-layer?utm_source=chatgpt.com | not cited |
| 4 | https://docs.commercetools.com/learning-integrate-with-composable-commerce/integration-patterns/integration-options?utm_source=chatgpt.com | not cited |
| 5 | https://docs.commercetools.com/offering/commerce-b2c?utm_source=chatgpt.com | not cited |
| 6 | https://commercetools.com/unified-commerce?utm_source=chatgpt.com | not cited |
| 7 | https://docs.commercetools.com/api?utm_source=chatgpt.com | not cited |
| 8 | https://docs.commercetools.com/learning-composable-commerce-developer-essentials/authentication-authorization/authentication-and-authorization?utm_source=chatgpt.com | not cited |
| and 20 more results | ||
Tracked brands mentioned
Week of 10th to 16th Aug 2026
Answer 9 of 15, 16th Aug 2026, gpt-5-6, mentions 2 tracked brands
Yes. For an omnichannel setup where the same commerce backend needs to power your website, in-store screens/kiosks, mobile, and potentially POS, I’d shortlist these:
| Platform | Unified API approach | Omnichannel fit | Best for |
|---|---|---|---|
| commercetools | REST + GraphQL, plus API orchestration | Excellent | Enterprise / complex retail |
| Saleor | GraphQL-native, API-only | Excellent | Developer-led, highly custom experiences |
| Medusa | REST APIs + modular architecture | Very good | Flexible/custom implementations |
My pick: commercetools
For your specific requirement, commercetools is probably the strongest fit. Its architecture is explicitly designed around a single commerce backend serving multiple channels. It provides REST and GraphQL APIs for real-time commerce operations, while its orchestration layer can expose backend data and processes to different channels through a unified API. commercetools.com
That maps nicely to something like:
Commerce backend → API/orchestration layer → Web / In-store display / Kiosk / Mobile / POS
So an in-store screen could use the same underlying product, pricing, inventory, customer, cart, and order capabilities as the web experience rather than maintaining a separate commerce implementation.
Saleor is a particularly interesting alternative
If your team is more engineering-heavy and wants maximum frontend freedom, Saleor is worth serious consideration. It's headless/API-only and GraphQL-native, with native multichannel support for things like pricing, currency, stock, and product availability. github.com
I'd lean Saleor if you want an open-source, developer-centric platform and don't need as much enterprise commerce infrastructure out of the box.
Medusa
Medusa is another good option, especially if you want to own more of the architecture. Its Sales Channel Module supports multiple channels, while its REST Store APIs can power multiple storefronts from the same server. docs.medusajs.com
Bottom line:
- Enterprise retail + web/in-store/POS orchestration → commercetools
- Highly custom, API/GraphQL-first experience → Saleor
- Open-source/modular + maximum backend control → Medusa
If you tell me whether you need POS, real-time store inventory, customer identity, and shared carts between web and in-store, I can narrow this to the best 1–2 architectures.
Behind this answer: 3 searches, 27 results retrieved, 2 tracked brands mentioned
Searches ChatGPT ran
Search results ChatGPT retrieved
| # | Page | Used in the answer |
|---|---|---|
| 1 | https://commercetools.com/api-commerce?utm_source=chatgpt.com | not cited |
| 2 | https://commercetools.com/composable-commerce?utm_source=chatgpt.com | not cited |
| 3 | https://docs.commercetools.com/learning-integrate-with-composable-commerce/integration-patterns/integration-options?utm_source=chatgpt.com | not cited |
| 4 | https://commercetools.com/blog/mastering-omnichannel-commerce-with-an-api-orchestration-layer?utm_source=chatgpt.com | not cited |
| 5 | https://docs.commercetools.com/offering/commerce-b2c?utm_source=chatgpt.com | not cited |
| 6 | https://commercetools.com/platform/connect?utm_source=chatgpt.com | not cited |
| 7 | https://docs.commercetools.com/learning-integrate-with-composable-commerce/integration-patterns/overview?utm_source=chatgpt.com | not cited |
| 8 | https://docs.commercetools.com/connect/connectors?utm_source=chatgpt.com | not cited |
| and 19 more results | ||
Tracked brands mentioned
Answer 10 of 15, 15th Aug 2026, gpt-5-6, mentions 3 tracked brands
Yes. For web + in-store screens with a shared commerce backend, I’d shortlist these:
| Platform | Unified API story | In-store fit | Best for |
|---|---|---|---|
| commercetools | Excellent — API-first, with 300+ commerce APIs and explicit omnichannel modeling across Stores/Channels | Excellent with its InStore/POS offering | Enterprise, highly composable architectures |
| Shopify | Excellent — Storefront/Admin APIs share a unified commerce data model; POS is integrated | Excellent | Fast implementation + strong retail ecosystem |
| Saleor | Excellent — GraphQL-native, API-only/headless, native multichannel | Good, but you'll build more of the retail layer | Teams wanting open source/control |
| Medusa | Strong REST APIs and multiple sales channels | Moderate; more custom work | Developer-led/custom implementations |
My pick for your use case
commercetools is probably the strongest architectural fit if “unified APIs” is the central requirement. Its model explicitly treats physical stores and online locations as Stores, with channels, inventory, carts, orders, pricing, and product availability managed through the same commerce platform. It also now has InStore, an API-first POS designed to unify online and physical retail. docs.commercetools.com
Shopify is the stronger choice if you want to get to market faster. Its Storefront API can power custom web experiences, while Shopify's unified commerce model connects online storefronts and POS to common products, customers, orders, inventory, and other data. shopify.dev
Shopify Storefront API documentation
For your specific architecture, I'd think about it as:
Web UI ─┐
In-store screen ─┤ → shared commerce APIs → catalog / pricing / inventory / cart / customer / order
Mobile ─────────┘
If the in-store screen needs real-time inventory, customer recognition, endless aisle, BOPIS, cart handoff between screen and phone, and associate-assisted checkout, I'd lean commercetools. If it's primarily a branded kiosk/display with standard checkout, Shopify becomes very compelling.
Behind this answer: 3 searches, 30 results retrieved, 3 tracked brands mentioned
Searches ChatGPT ran
Search results ChatGPT retrieved
| # | Page | Used in the answer |
|---|---|---|
| 1 | https://shopify.dev/docs/api/storefront/latest?utm_source=chatgpt.com | not cited |
| 2 | https://shopify.dev/docs/storefronts/headless/bring-your-own-stack/index?utm_source=chatgpt.com | not cited |
| 3 | https://shopify.dev/docs/storefronts/headless/building-with-the-storefront-api/manage-headless-channels?utm_source=chatgpt.com | not cited |
| 4 | https://shopify.dev/docs/storefronts/headless/bring-your-own-stack?utm_source=chatgpt.com | not cited |
| 5 | https://shopify.dev/docs/api/usage/access-scopes?utm_source=chatgpt.com | not cited |
| 6 | https://shopify.dev/docs/api/usage/authentication?utm_source=chatgpt.com | not cited |
| 7 | https://apps.shopify.com/headless?utm_source=chatgpt.com | not cited |
| 8 | https://help.shopify.com/en/manual/custom-storefronts?utm_source=chatgpt.com | not cited |
| and 22 more results | ||
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Answer 11 of 15, 15th Aug 2026, gpt-5-6, mentions 3 tracked brands
Yes. For web + in-store screens/POS sharing the same commerce data and APIs, I’d shortlist these:
| Platform | Unified API / headless strength | In-store fit | Best for |
|---|---|---|---|
| commercetools | Excellent — 300+ commerce APIs and API orchestration across channels | Excellent — dedicated InStore APIs/POS | Enterprise composable architecture |
| Salesforce Commerce | Excellent — Commerce APIs plus unified commerce stack | Excellent — native POS + OMS integration | Retailers wanting commerce + POS + CRM unified |
| Shopify | Excellent — Storefront API supports web, apps, social and custom channels | Good — strongest when using Shopify POS rather than building deeply custom in-store flows | Faster implementation / lower engineering overhead |
| Medusa | Excellent — REST APIs and multiple sales channels | Moderate — more custom development for sophisticated physical retail | Developer-led, highly customizable builds |
My pick for your use case
commercetools is probably the strongest fit if your goal is genuinely one commerce backend serving multiple bespoke experiences. Its API orchestration layer is specifically designed to make backend data, processes and actions available across channels through APIs, while its InStore product provides APIs for carts, payments, returns and physical-store workflows. commercetools.com
If you want a more turnkey retail solution, Salesforce is compelling: its current stack explicitly connects B2C Commerce, POS and Order Management, with shared customer, order and inventory information across online and physical channels. trailhead.salesforce.com
If the in-store screens are more like interactive kiosks/endless-aisle displays than full POS terminals, I'd lean even more toward commercetools or Medusa. Medusa exposes commerce through REST APIs and is explicitly designed to support multiple storefronts from one server. docs.medusajs.com
Architecture-wise, I'd look for:
Web storefront ─┐
In-store UI ─────┼→ shared commerce APIs → products / pricing / cart / inventory / orders
Kiosk ───────────┘
That avoids building separate commerce logic for the web and store applications.
commercetools · Salesforce Commerce · Shopify headless commerce · Medusa
Behind this answer: 3 searches, 30 results retrieved, 3 tracked brands mentioned
Searches ChatGPT ran
Search results ChatGPT retrieved
| # | Page | Used in the answer |
|---|---|---|
| 1 | https://developer.salesforce.com/docs/commerce/commerce-solutions/guide/getting-started.html?utm_source=chatgpt.com | not cited |
| 2 | https://www.salesforce.com/commerce/b2c-ecommerce/?utm_source=chatgpt.com | not cited |
| 3 | https://www.salesforce.com/commerce/point-of-sale/?bc=OTH&utm_source=chatgpt.com | not cited |
| 4 | https://www.salesforce.com/commerce/composable/guide/?bc=OTH&utm_source=chatgpt.com | not cited |
| 5 | https://www.salesforce.com/commerce/point-of-sale/?bc=OTH&d=sh&utm_source=chatgpt.com | not cited |
| 6 | https://help.salesforce.com/s/articleView?id=commerce.rt_adv_config_sf_int_sfsc_connector.htm&language=en_US&type=5&utm_source=chatgpt.com | not cited |
| 7 | https://partners.salesforce.com/pdx/s/learn/article/isv-b2c-commerce-MCDSZA63SNTNCRRBPDZX3PU7OGWI?language=en_US&utm_source=chatgpt.com | not cited |
| 8 | https://help.salesforce.com/s/articleView?id=commerce.rt_adv_config_sf_int_oms.htm&language=en_US&type=5&utm_source=chatgpt.com | not cited |
| and 22 more results | ||
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Answer 12 of 15, 15th Aug 2026, gpt-5-6, mentions 3 tracked brands
Yes. For your specific requirement—one commerce backend serving both web and in-store screens through the same API layer—I’d shortlist these:
| Platform | Unified API fit | In-store / physical retail | Best for |
|---|---|---|---|
| commercetools | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | Enterprise omnichannel |
| Saleor | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ | API-first, highly customizable experiences |
| Medusa | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ | Open-source, developer-controlled stack |
| Shopify | ⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | Fastest path with a mature retail ecosystem |
My top pick: commercetools
commercetools is particularly well aligned with what you're describing. Its architecture explicitly models Stores, Channels, inventory, pricing, carts and orders, and a Store can represent either a physical retail location or an online experience. docs.commercetools.com
More importantly, commercetools describes an API-orchestration layer that can make backend data and processes available to different channels through a unified API. commercetools.com
That means you could have something like:
Commerce Backend
│
commercetools APIs
│
┌──────────────┼──────────────┐
│ │ │
Web Store In-Store Kiosk Associate Screen
│ │ │
Next.js React/etc. React/etc.
All three experiences can consume the same underlying catalog, customer, pricing, inventory, cart and order concepts, while applying different channel/store context.
Saleor is a strong alternative
Saleor is arguably even cleaner if your engineering team wants GraphQL everywhere. Saleor is API-only/headless, GraphQL-native, and has native multi-channel support with channel-specific pricing, currencies, stock and products. github.comshopify.dev
I'd lean Saleor if your team wants maximum control over the frontend and a relatively pure composable architecture.
Shopify
Shopify also supports headless experiences through its Storefront API, which is designed to expose commerce primitives to websites, apps and other custom experiences. shopify.dev Its big advantage is the mature retail/POS ecosystem, but you may encounter more platform-specific constraints than with commercetools or Saleor.
Bottom line: If the core architectural requirement is "web and physical screens are just different clients of the same commerce APIs," I'd evaluate commercetools first, Saleor second, Shopify third. For a large enterprise, commercetools is probably the strongest fit; for an engineering-led, highly customized experience, Saleor is very compelling. docs.commercetools.com
If you tell me whether your in-store screens are kiosks, POS terminals, digital signage, or associate tablets, I can narrow this down considerably.
Behind this answer: 3 searches, 26 results retrieved, 3 tracked brands mentioned
Searches ChatGPT ran
Search results ChatGPT retrieved
| # | Page | Used in the answer |
|---|---|---|
| 1 | https://saleor.io/solutions/headless-commerce?utm_source=chatgpt.com | not cited |
| 2 | https://saleor.io/open-source?utm_source=chatgpt.com | not cited |
| 3 | https://saleor.io/solutions/composable-commerce?utm_source=chatgpt.com | not cited |
| 4 | https://saleor.io/index?utm_source=chatgpt.com | not cited |
| 5 | https://saleor.io/?utm_source=chatgpt.com | not cited |
| 6 | https://storefront.saleor.io/default-channel/pages/about?utm_source=chatgpt.com | not cited |
| 7 | https://saleor.io/blog/saleor-30-multichannel-extensibility-improvements?utm_source=chatgpt.com | not cited |
| 8 | https://saleor.io/?source=post_page-----a71380a96ec2-----------------------------------&utm_source=chatgpt.com | not cited |
| and 18 more results | ||
Tracked brands mentioned
Answer 13 of 15, 15th Aug 2026, gpt-5-6, mentions 3 tracked brands
Yes. For your specific use case—one commerce backend powering both web and in-store screens/kiosks—I’d shortlist these:
| Platform | Unified API story | Best fit |
|---|---|---|
| commercetools | Excellent. 300+ commerce APIs plus an orchestration layer that can expose multiple backend capabilities through a unified API. commercetools.com | Complex omnichannel / composable architecture |
| Salesforce Commerce Cloud | Excellent. Headless Commerce APIs are explicitly designed for touchpoints including in-store kiosks, social, portals, etc.; Omnichannel Inventory also has dedicated APIs. commercetools.comwww.salesforce.comwww.bigcommerce.comwww.salesforce.comwww.bigcommerce.com | Enterprise retail with CRM, customer identity, inventory |
| BigCommerce | Very good. REST + GraphQL APIs cover catalog, carts, checkout, customers, inventory, etc.; multi-location inventory APIs support connecting brick-and-mortar and ecommerce, including BOPIS. www.bigcommerce.comwww.bigcommerce.com | Faster implementation / less platform engineering |
My recommendation
If by "unified APIs" you mean the web frontend and an in-store touchscreen should call essentially the same commerce services, I'd put commercetools first.
Its architecture is particularly aligned with this: commercetools describes an API orchestration layer that can unify multiple backend APIs and make their data, processes, and actions available to any channel through one API. commercetools.com
If you're a large retailer already invested in Salesforce, Salesforce Commerce Cloud becomes very compelling because Salesforce explicitly supports headless experiences extending to in-store kiosks, while its Omnichannel Inventory APIs address the physical/digital inventory problem. commercetools.comwww.salesforce.comwww.bigcommerce.comwww.salesforce.comwww.bigcommerce.com
BigCommerce is the pragmatic choice if you want strong headless APIs without taking on as much composable-platform complexity. Its multi-location inventory APIs are particularly relevant for tying physical stores to online experiences. www.bigcommerce.comwww.bigcommerce.com
For your architecture, I'd specifically evaluate whether the platform can expose the same primitives for catalog → pricing → customer → cart → checkout → inventory → order → fulfillment to both channels. That's more important than simply having a "headless" label.
If you tell me your POS, ERP/inventory system, and whether the in-store screens are kiosks or associate-facing, I can narrow this to the best 1–2 platforms and sketch the API architecture.
Behind this answer: 3 searches, 30 results retrieved, 3 tracked brands mentioned
Searches ChatGPT ran
Search results ChatGPT retrieved
| # | Page | Used in the answer |
|---|---|---|
| 1 | https://www.bigcommerce.com/solutions/headless-commerce/?utm_source=chatgpt.com | not cited |
| 2 | https://www.bigcommerce.com/solutions/omnichannel/?utm_source=chatgpt.com | not cited |
| 3 | https://www.bigcommerce.com/articles/headless-commerce/?locale=en&utm_source=chatgpt.com | not cited |
| 4 | https://www.bigcommerce.com/solutions/headless-commerce/aem/?utm_source=chatgpt.com | not cited |
| 5 | https://www.bigcommerce.com/articles/headless-commerce/api-first-ecommerce/?utm_source=chatgpt.com | not cited |
| 6 | https://docs.bigcommerce.com/developer/api-reference/rest/storefront/carts?utm_source=chatgpt.com | not cited |
| 7 | https://www.bigcommerce.com/articles/ecommerce/unified-commerce/?utm_source=chatgpt.com | not cited |
| 8 | https://www.bigcommerce.com/solutions/?utm_source=chatgpt.com | not cited |
| and 22 more results | ||
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Answer 14 of 15, 15th Aug 2026, gpt-5-6, mentions 3 tracked brands
Yes. For your use case—one commerce backend powering both web and in-store screens through APIs—I’d shortlist these:
| Platform | Unified API / omnichannel fit | Best for |
|---|---|---|
| commercetools | Excellent — API-first/composable, with a single commerce backend and APIs/orchestration designed to connect different touchpoints, including physical and digital. commercetools.com | Enterprise, highly customized omnichannel |
| Salesforce Commerce Cloud | Excellent — headless Commerce APIs can power web, kiosks, portals and other touchpoints; its APIs also cover shopper, admin and omnichannel inventory capabilities. www.salesforce.com | Large retailers already in Salesforce |
| Shopify | Very good — Storefront API provides a common commerce layer for custom web/app experiences, while Shopify's backend handles products, pricing, carts, etc. shopify.dev | Faster implementation / simpler operating model |
My recommendation
If “unified APIs across web + in-store screens” is the architectural priority, I'd put commercetools first.
Its model is particularly well suited to having something like:
Commerce backend → unified API/orchestration → web storefront + store kiosk + associate tablet + digital signage
That lets the different experiences share product, pricing, inventory, customer and order data without forcing every frontend to implement separate commerce integrations. commercetools explicitly describes using an orchestration layer to make multiple backend APIs and processes available through a unified API. commercetools.com
Salesforce would be my first choice if you already have Salesforce CRM/OMS/Marketing infrastructure and want the commerce experience tightly integrated with that ecosystem. Its headless APIs explicitly target touchpoints such as in-store kiosks as well as digital channels. www.salesforce.com
Shopify is attractive if you prioritize speed and operational simplicity. Its Storefront API can serve custom experiences across web and other platforms, but I'd evaluate the in-store/POS requirements carefully if your screens need sophisticated store-specific inventory, fulfillment, customer identity, or transaction workflows. shopify.dev
If you tell me your company size, B2C vs. B2B, existing stack (Salesforce/Adobe/SAP/etc.), and what the in-store screens actually do (browse-only, kiosk checkout, associate-assisted selling, endless aisle, etc.), I can narrow this to 2–3 platforms and map the API architecture.
Behind this answer: 4 searches, 30 results retrieved, 3 tracked brands mentioned
Searches ChatGPT ran
Search results ChatGPT retrieved
| # | Page | Used in the answer |
|---|---|---|
| 1 | https://shopify.dev/docs/api/storefront/latest?utm_source=chatgpt.com | not cited |
| 2 | https://shopify.dev/docs/storefronts/headless/bring-your-own-stack/index?utm_source=chatgpt.com | not cited |
| 3 | https://shopify.dev/docs/api/app-home/apis/device-and-platform-integration/pos-api?utm_source=chatgpt.com | not cited |
| 4 | https://shopify.dev/docs/api/usage/access-scopes?utm_source=chatgpt.com | not cited |
| 5 | https://hydrogen.shopify.dev/?component=storefront-api&modal=component&utm_source=chatgpt.com | not cited |
| 6 | https://www.salesforce.com/commerce/headless/?bc=OTH&utm_source=chatgpt.com | not cited |
| 7 | https://help.salesforce.com/s/articleView?id=commerce.oci_impl_api_access.htm&language=en_US&type=5&utm_source=chatgpt.com | not cited |
| 8 | https://www.salesforce.com/ap/commerce/headless/?bc=OTH&utm_source=chatgpt.com | not cited |
| and 22 more results | ||
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Answer 15 of 15, 15th Aug 2026, gpt-5-6, mentions 2 tracked brands
Yes. For your use case—one commerce backend serving both web and in-store screens—I’d shortlist these:
| Platform | Unified API approach | Web + in-store fit | My take |
|---|---|---|---|
| commercetools | Broad API-first platform + API orchestration | Excellent | Best fit for enterprise omnichannel |
| Saleor | GraphQL-only, API-first | Very good | Best if your team wants developer control/open source |
| Shopify | Storefront API + other APIs | Good | Easiest ecosystem, but less intrinsically composable |
My recommendation: commercetools
It is particularly aligned with what you're describing. commercetools explicitly supports a single commerce backend as the source of truth for product, customer, inventory, etc., with APIs/orchestration exposing that data to different channels. Its platform models Stores and Channels, including physical locations, and supports store-scoped APIs. commercetools.com
It also now has InStore, designed specifically to unify online and physical-store operations on the same commerce platform. commercetools.com
So architecturally you could have:
Commerce backend
→ products / pricing / inventory / customers / carts / orders
→ common API/orchestration layer
→ Web storefront
→ In-store kiosk
→ Associate-facing screen
→ Digital signage
→ Mobile app
That's preferable to creating separate "web commerce" and "store commerce" APIs and trying to synchronize them afterward.
Saleor is the interesting alternative
If you're heavily engineering-led, Saleor is compelling: its backend is API-only and GraphQL-native, with native multi-channel support for pricing, currency, stock, and products. github.com
Shopify
Shopify's Storefront API can power custom experiences across web, native apps, games, social and other platforms, so it's certainly capable of a headless architecture. shopify.dev
But if "one API/data model spanning web + physical retail" is the architectural requirement, I'd evaluate commercetools before Shopify.
Bottom line:
- Enterprise omnichannel / complex stores: commercetools
- Maximum API/developer control: Saleor
- Fastest path + huge ecosystem: Shopify
If you tell me whether the in-store screens are kiosks, POS/associate screens, or digital signage, I can narrow this down considerably.
Behind this answer: 2 searches, 16 results retrieved, 2 tracked brands mentioned
Searches ChatGPT ran
Search results ChatGPT retrieved
| # | Page | Used in the answer |
|---|---|---|
| 1 | https://docs.commercetools.com/api/project-configuration-overview?utm_source=chatgpt.com | not cited |
| 2 | https://docs.commercetools.com/api/projects/stores?utm_source=chatgpt.com | not cited |
| 3 | https://docs.commercetools.com/api/projects/channels?utm_source=chatgpt.com | not cited |
| 4 | https://docs.commercetools.com/docs?utm_source=chatgpt.com | not cited |
| 5 | https://commercetools.com/blog/mastering-omnichannel-commerce-with-an-api-orchestration-layer?utm_source=chatgpt.com | not cited |
| 6 | https://commercetools.com/unified-commerce?utm_source=chatgpt.com | not cited |
| 7 | https://docs.commercetools.com/tutorials/implementation-guide/plan-integrations?utm_source=chatgpt.com | not cited |
| 8 | https://docs.commercetools.com/offering/commerce-b2c?utm_source=chatgpt.com | not cited |
| and 8 more results | ||
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