What is Shopify integration?

Shopify integration is the controlled exchange of data and business actions between Shopify and another system. That other system may be an inventory platform, customer relationship management system, enterprise resource planning platform, warehouse management system, third-party logistics provider, accounting application, product information management system, marketplace, or custom-built application.

A good integration does more than copy records. It defines which system owns each data element, when information should move, how conflicts are resolved, what happens when an API or downstream system is unavailable, and how the business confirms that the two systems still agree.

For example, an order may begin in Shopify, be enriched in an ERP, allocated in a warehouse system, fulfilled by a 3PL, and returned to Shopify with tracking information. The customer sees one order, but the transaction may cross several applications. The integration is the operational layer that keeps those applications synchronized.

Why integrate Shopify with inventory, CRM, ERP, fulfillment, or custom applications?

Manual re-entry can work at low order volumes, but it becomes slower, more expensive, and more error-prone as a business grows. A properly designed Shopify integration can:

• Reduce duplicate data entry and spreadsheet handoffs.
• Keep available inventory more accurate across stores, warehouses, and sales channels.
• Move orders to finance, production, or fulfillment without waiting for manual processing.
• Give sales and service teams a fuller view of customers and order history.
• Return fulfillment status and tracking information to Shopify faster.
• Apply established pricing, tax, credit, approval, and accounting rules consistently.
• Preserve a valuable legacy application while modernizing the customer-facing experience.
• Create an auditable data flow with monitoring, retries, and exception handling.

The objective is not to connect every field. It is to automate the workflows that create measurable operational value while keeping ownership and accountability clear.

The core Shopify integration architecture

Most production integrations use three complementary mechanisms: APIs for reading or changing Shopify data, events or webhooks for detecting changes, and a middleware layer for business rules and reliability.

1. Shopify’s GraphQL Admin API

The GraphQL Admin API is Shopify’s primary administrative API for apps and integrations. It can be used to query and modify products, variants, inventory, orders, customers, companies, fulfillment data, metafields, and other Shopify resources, subject to the app’s scopes and Shopify’s platform rules.

GraphQL lets an integration request the fields it needs instead of receiving a large fixed payload. Its calculated query-cost model also encourages efficient queries. The integration should select a supported stable API version, test upgrades before the version reaches end of support, and monitor Shopify’s developer changelog for affected fields and operations.

2. Events and webhooks

An event-driven design reacts when something changes instead of repeatedly polling the entire store. Shopify’s classic webhook model remains important and widely used. An app subscribes to a topic, Shopify sends an HTTPS request when the event occurs, and the receiving service verifies and processes the message.

Shopify’s newer Next Generation Events model provides a more flexible event-integration option for supported topics. It is designed around subscriptions and event delivery rather than tightly coupling every consumer to a large fixed webhook payload. This can make it easier to request relevant fields and evolve integrations, but topic coverage and migration requirements must be checked before adoption.

Next Generation Events do not automatically replace every webhook. A sensible architecture uses the most appropriate supported model for each workflow and treats delivery as asynchronous in both cases.

3. Middleware or an integration service

Direct point-to-point connections can become fragile when business rules, transformations, retries, and multiple systems are involved. Middleware provides a controlled layer between Shopify and downstream applications. It can:

• Authenticate to each platform without exposing credentials to the storefront.
• Map identifiers and transform data formats.
• Queue work and absorb temporary outages.
• Prevent duplicate processing.
• Apply business rules and validation.
• Record an audit trail and surface exceptions.
• Reconcile records on a schedule.

4. Scheduled reconciliation and bulk processing

Events provide speed, but reconciliation provides confidence. A scheduled job should compare important records—such as inventory, unfulfilled orders, tracking status, and failed transactions—and repair or escalate discrepancies.

For large catalog exports, migrations, historical synchronization, or high-volume data maintenance, Shopify bulk operations can be more appropriate than thousands of individual API calls. The right design combines real-time events, targeted API calls, and scheduled bulk or reconciliation processes.

How to integrate Shopify with an inventory system

A Shopify inventory integration synchronizes stock information between Shopify and the application responsible for purchasing, receiving, manufacturing, allocation, or warehouse control.

Decide what the quantity means

The first challenge is semantic, not technical. “Inventory” may refer to on-hand, available, committed, reserved, damaged, in-transit, safety stock, or future supply. Publishing the ERP’s on-hand value directly to Shopify can oversell products if some units are already allocated or unavailable for e-commerce.

A common calculation is:

Shopify available quantity = sellable on-hand − committed quantity − safety stock ± approved channel adjustments

The exact formula depends on how the business allocates stock and which system owns those rules.

Map products, variants, and locations

Every Shopify variant should map to a durable identifier in the inventory system—normally a SKU, variant ID, ERP item number, or an explicit cross-reference table. Product titles are not reliable identifiers. Each Shopify location must also map to the correct warehouse, store, virtual pool, or fulfillment location.

Use event-driven updates with reconciliation

Order, cancellation, return, transfer, receipt, and manual-adjustment events may all affect availability. The integration should update the affected item and location promptly, then run periodic reconciliation to detect missed events, mapping problems, and manual changes.

Plan for concurrency

Two channels may sell the same final unit within seconds. No integration can remove every race condition, but the risk can be reduced with reservations, buffers, short processing intervals, conditional updates, and a clearly defined conflict policy.

Typical inventory data flow:

1. Shopify sends an order or inventory-related event.
2. Middleware verifies the event and places it in a queue.
3. The inventory system allocates or recalculates stock.
4. The integration updates the affected Shopify inventory item and location.
5. A scheduled process compares Shopify with the authoritative inventory source.

How to integrate Shopify with a CRM

A Shopify CRM integration can help marketing, sales, and customer service teams understand the relationship behind each transaction. Depending on the CRM and the business model, the integration may synchronize customer profiles, consent, orders, lifetime value, company relationships, customer segments, service issues, abandoned checkouts, or sales opportunities.

Choose the CRM use case first

Do not begin by copying every Shopify customer field. Define the decision the CRM must support. Examples include:

• Creating a service case with relevant order and shipment details.
• Alerting an account manager when a B2B customer places a high-value order.
• Segmenting customers by purchase category, frequency, or recency.
• Measuring revenue influenced by a marketing or sales campaign.
• Associating Shopify buyers with B2B companies, contacts, and locations.

Resolve customer identity carefully

Email address alone is often insufficient. Customers may use different addresses, check out as guests, share a company domain, or change contact information. A robust integration maintains Shopify IDs and CRM IDs in a cross-reference and defines rules for matching, merging, and handling ambiguous records.

Respect consent and purpose

Order processing data is not automatically marketing consent. The integration should preserve relevant consent status, record its source and timestamp where appropriate, limit access, and avoid copying sensitive data that the CRM does not need.

Separate operational and analytical synchronization

A service agent may need near-real-time order status, while a marketing dashboard may only need a nightly aggregate. Different use cases can use different synchronization schedules instead of forcing every data point into a real-time pipeline.

How to integrate Shopify with an ERP

An ERP integration usually connects Shopify commerce to finance, purchasing, inventory, production, pricing, tax, and order-management processes. It often creates the greatest operational value—and carries the greatest design risk—because both platforms may contain overlapping versions of products, customers, orders, inventory, and pricing.

Create a system-of-record matrix

Before development begins, decide which platform owns each data domain.

This is an example, not a universal rule. The correct ownership model depends on the company’s operating process.

Map the full order lifecycle

Order integration must account for more than the original sale. Map taxes, discounts, gift cards, duties, shipping charges, payment status, capture, cancellation, edits, partial fulfillment, returns, exchanges, refunds, and chargebacks. If B2B commerce is involved, also consider companies, company locations, purchase-order numbers, payment terms, negotiated pricing, and tax exemptions.

Use an internal canonical model

Shopify and an ERP rarely represent data identically. A canonical internal model can isolate each system’s vocabulary from the other. Instead of embedding ERP-specific rules throughout Shopify handlers, the integration translates Shopify data into a normalized order, customer, product, or inventory representation, then maps it to the ERP.

Return operational status to Shopify

A one-way order export leaves customers and service teams without current information. When appropriate, return fulfillment status, tracking numbers, cancellations, inventory changes, and other customer-relevant outcomes to Shopify.

How to integrate Shopify with fulfillment providers, warehouses, and 3PLs

A fulfillment integration sends releasable orders to the warehouse or 3PL and returns fulfillment outcomes to Shopify. Depending on the operation, it may also exchange inventory, receiving, transfer, cancellation, and return information.

Define when an order is ready to release

Not every new order should immediately go to the warehouse. Release rules may depend on payment authorization or capture, fraud review, address validation, pre-order status, customer-service holds, inventory allocation, or B2B approval.

Support partial and split fulfillment

An order may ship from several locations or on several dates. The integration must preserve the relationship between the Shopify order, fulfillment order, line items, location, package, carrier, and tracking number. Treating an order as a single all-or-nothing shipment creates inaccurate status and poor customer communication.

Handle changes and cancellations safely

A cancellation request can race with warehouse picking. The integration should send the request, wait for acknowledgement, and update Shopify based on the confirmed outcome. It should not assume that a successful API request means a physical operation has already stopped.

Design returns as a separate workflow

A return may involve authorization, carrier labels, warehouse receipt, inspection, restocking, disposition, refund approval, and financial posting. These steps may occur in different systems. Model them explicitly instead of treating a return as the reverse of shipment.

How to integrate Shopify with a custom or legacy application

A custom Shopify integration is often the best option when the business depends on specialized workflows that packaged connectors do not support. The existing application can remain the system of record while Shopify provides a modern commerce experience.

Use an adapter instead of rewriting the legacy system

A middleware adapter can translate between Shopify and the legacy application’s database, API, file export, message queue, or scheduled process. This reduces changes to stable business logic and creates a boundary that can be modernized in phases.

Protect the legacy database

A Shopify event handler should not write directly into production tables unless the legacy application was explicitly designed for that access pattern. Prefer an existing service layer, supported API, import table, stored procedure, or validated staging process. Direct writes can bypass business rules and create records the original application cannot safely interpret.

Modernize by workflow

Prioritize one measurable process at a time—for example, exporting orders, synchronizing inventory, returning tracking information, or publishing contract pricing. This creates value earlier and avoids a high-risk “replace everything” project.

Recover undocumented business rules

Older applications often contain years of exceptions in code, reports, spreadsheets, and staff knowledge. Integration discovery should document those rules before automation. AI-assisted analysis can accelerate code and document review, but operational owners still need to validate which rules remain necessary.

Should you use a Shopify app, iPaaS, middleware, or custom integration?

The cheapest connector is not always the lowest-cost solution. Compare implementation, transaction or task fees, exception-handling effort, operational risk, support, future changes, and the cost of incorrect data.

How to make a Shopify integration reliable and secure

Authenticate and authorize correctly

Use Shopify’s supported authentication method, request only the scopes the integration needs, store tokens and secrets in a managed secret store, rotate credentials according to policy, and separate development, test, and production credentials. Never expose Admin API credentials in storefront JavaScript.

Verify incoming messages

For webhook deliveries, validate Shopify’s HMAC signature using the raw request body and the application’s client secret before trusting the payload. Reject unverifiable requests and protect the public endpoint with appropriate network, application, and abuse controls.

Assume events may be duplicated or arrive out of order

Event delivery systems are designed for resilience, so duplicate delivery is possible. Store a unique event or delivery identifier and make processing idempotent. When sequence matters, compare timestamps or current resource state rather than assuming arrival order represents business order.

Acknowledge quickly and process asynchronously

The receiving endpoint should verify the request, persist or queue the work, and respond promptly. Slow ERP or warehouse calls should run in a worker process. This prevents downstream latency from causing avoidable redelivery or timeout problems.

Use bounded retries and a dead-letter path

Retry temporary errors with exponential backoff and jitter. Do not retry permanent validation or mapping errors forever. Move exhausted messages to a dead-letter queue or exception table, alert an owner, and provide a controlled replay mechanism.

Respect API limits

Shopify’s GraphQL Admin API uses calculated query cost. Integrations should request only necessary fields, batch work appropriately, throttle based on available capacity, use bulk operations for large datasets, and avoid synchronized retry storms.

Monitor business outcomes, not only server health

An endpoint can return HTTP 200 while orders remain stuck. Monitor operational indicators such as orders awaiting export, inventory discrepancies, events older than a threshold, fulfillment updates not returned to Shopify, repeated SKU mapping failures, and reconciliation differences.

Minimize and govern personal data

Transfer only the customer data required for the defined purpose. Apply access controls, retention rules, encryption, deletion workflows, logging, and Shopify’s applicable privacy requirements. If an integration serves multiple merchants, isolate tenant data and credentials.

A practical Shopify integration implementation process

1. Discovery: document systems, owners, workflows, volumes, peak periods, exceptions, compliance requirements, and business objectives.
2. System-of-record design: assign ownership for products, variants, customers, companies, inventory, prices, orders, payments, fulfillment, returns, and financial records.
3. Data mapping: map identifiers, fields, enumerations, locations, units, currencies, time zones, taxes, and status transitions.
4. Architecture: choose events or webhooks, API operations, queues, middleware, scheduled jobs, bulk processing, and reconciliation.
5. Security design: define app scopes, secrets, personal-data handling, access control, audit logging, and incident procedures.
6. Incremental development: build one workflow at a time with automated tests and representative data.
7. End-to-end testing: test happy paths and exceptions, including duplicates, outages, cancellations, partial fulfillment, refunds, rate limits, and invalid mappings.
8. Cutover: define migration, freeze windows, initial synchronization, reconciliation, rollback, and support ownership.
9. Operations: monitor business outcomes, review failures, test recovery, update supported APIs, and refine rules as the business changes.

Shopify integration FAQ

Can Shopify integrate with an ERP?

Yes. Shopify can be integrated with an ERP through a prebuilt connector, an integration platform, custom middleware, or a hybrid solution. The integration can exchange products, inventory, customers, B2B companies, orders, payments, taxes, fulfillment status, refunds, and financial references.

The difficult part is rarely the API connection itself. The important design work is deciding which system owns each data domain, how Shopify concepts map to the ERP, and how edits, cancellations, partial shipments, returns, and failures are handled. A dependable implementation starts with a system-of-record matrix and a complete order-lifecycle map.

Which ERP systems can connect to Shopify?

Shopify can connect to many commercial and custom ERP systems, including platforms in the Microsoft, Oracle NetSuite, SAP, Sage, Acumatica, Epicor, Infor, Odoo, and industry-specific ecosystems. Availability and quality of packaged connectors vary by ERP edition, Shopify plan, geography, and required workflow.

A connector’s existence does not guarantee fit. Before selection, validate support for locations, bundles, B2B companies, payment terms, multiple currencies, tax handling, partial fulfillment, returns, and the expected data volume. A custom adapter may be appropriate when a packaged connector cannot represent established business rules.

Should Shopify or the ERP be the system of record?

There is usually no single system of record for everything. Ownership should be assigned by data domain. Shopify may own online merchandising and web-order capture, while the ERP owns item numbers, cost, procurement, accounting, credit, and inventory availability. A PIM may own product content, and a WMS or 3PL may own warehouse execution.

The critical rule is to avoid two systems independently overwriting the same field. Document the authoritative source, permitted direction, update trigger, conflict policy, and exception owner for every synchronized object.

How do multi-store or multi-channel merchants keep Shopify inventory synchronized?

Use a central inventory source—or an explicitly defined allocation service—to calculate the sellable quantity for each item and location. Events from Shopify, POS, marketplaces, the ERP, the WMS, and receiving processes should update that source. The integration then publishes revised availability to the relevant channels.

Near-real-time updates reduce overselling, but they should be reinforced with scheduled reconciliation, safety-stock rules, reservation logic, and monitoring for unmapped SKUs or locations. The design must also account for concurrent sales and the possibility that two channels act on the same final unit.

What is the difference between on-hand and available inventory?

On-hand inventory is the physical quantity recorded at a location. Available inventory is the quantity the business is willing and able to sell after accounting for commitments, reservations, safety stock, damage, quality holds, or channel allocation. In-transit supply may be tracked separately and should not automatically be treated as sellable.

This distinction is essential in a Shopify integration. Sending on-hand values without applying allocation rules can create overselling. The integration should publish the quantity defined by the business as available to the online channel.

Can Shopify inventory be synchronized in real time?

It can be synchronized in near real time. Events can trigger targeted updates within seconds, but no distributed integration can guarantee that every system changes at exactly the same instant. Network latency, API throttling, queue depth, downstream outages, and concurrent orders can create short delays.

A reliable design defines a target synchronization window, uses queues and idempotent workers, applies buffers where appropriate, and runs reconciliation. It also measures the age of pending updates so the team knows when the target is being missed.

What are Shopify Next Generation Events?

Next Generation Events are Shopify’s newer event-integration model for supported topics. They provide a subscription-based way for apps to receive Shopify changes and can offer more control over the data selected for delivery than traditional fixed webhook payloads.

They are useful for reducing payload noise and designing event consumers around the data they require. Adoption should still be based on the topics, delivery behavior, access requirements, and operational needs of the specific integration. They do not remove the need for authentication, deduplication, asynchronous processing, retries, monitoring, and reconciliation.

Do Shopify Next Generation Events replace webhooks?

Not universally. Classic webhooks remain a stable and important part of Shopify integration architecture, and not every existing workflow should be migrated immediately. Topic availability, payload needs, app architecture, and operational maturity should determine which model is used.

Many businesses will operate a hybrid model during adoption: new event subscriptions for supported use cases and existing webhooks for mature or uncovered workflows. The shared reliability pattern remains the same—verify, queue, process idempotently, monitor, and reconcile.

Should an existing Shopify webhook integration migrate immediately?

No. A functioning production integration should not be changed only because a newer mechanism is available. First inventory current subscriptions, downstream dependencies, payload fields, volumes, retry behavior, and monitoring. Then compare those requirements with supported Next Generation Events topics and build a migration plan.

For higher-risk workflows, run the old and new paths in parallel without applying duplicate business actions. Compare payloads and outcomes, resolve differences, and cut over gradually with a tested rollback plan.

Why does Shopify sometimes send a webhook or event more than once?

Distributed delivery systems may retry when an acknowledgement is delayed, lost, or uncertain. A message can therefore be delivered more than once even if the first attempt was processed. This behavior supports resilient delivery and must be expected by the receiving application.

Store a unique delivery or event identifier and make every handler idempotent. Creating an ERP order, issuing a refund, or adjusting inventory should produce the same business outcome whether the message is processed once or several times.

Can Shopify events or webhooks be missed?

Delivery mechanisms are designed to be reliable, but no production architecture should depend on a single message path without verification. Temporary outages, expired subscriptions, authentication problems, endpoint changes, application defects, or exhausted retries can produce gaps.

Maintain delivery and processing logs, alert on failures and lag, and run scheduled reconciliation against Shopify’s current state. The integration should be able to recover from a time window or replay safely without duplicating completed business actions.

Can orders created in an ERP or another sales channel be imported into Shopify?

Sometimes, but the correct approach depends on why Shopify needs the record. An ERP-originated transaction may be represented as a Shopify order, a draft-order workflow, a customer timeline reference, or an external record surfaced through a custom interface. The right option depends on payment, tax, inventory, reporting, notification, and fulfillment requirements.

Do not assume every external transaction should become a native Shopify order. Importing it can trigger inventory changes, customer communications, analytics, automations, taxes, or downstream apps. Define the desired business effect first, then confirm the supported API behavior and test all side effects.

How does Shopify integrate with a CRM?

Shopify can send customer, order, company, product-interest, and purchase data to a CRM. The CRM may return account ownership, lifecycle stage, service status, segmentation, or selected profile information. Synchronization can be event-driven for operational actions and scheduled for reporting or segmentation.

Identity resolution and consent require special attention. Preserve stable Shopify and CRM IDs, avoid merging on email alone when ambiguity is possible, distinguish transaction processing from marketing permission, and transfer only the data needed for a defined purpose.

How does Shopify integrate with a 3PL or fulfillment warehouse?

The integration sends orders or fulfillment requests after they meet release criteria, then receives acceptance, rejection, shipment, tracking, inventory, and sometimes returns information. Shopify’s fulfillment concepts should be mapped carefully to the 3PL’s warehouses, shipments, packages, carriers, and line-item statuses.

The design should support partial and split shipments, backorders, address corrections, cancellation races, failed labels, and warehouse exceptions. Monitoring should identify orders accepted by Shopify but not acknowledged by the fulfillment provider within an agreed period.

How should returns and refunds be integrated?

Returns and refunds are related but distinct. A return concerns merchandise and may include authorization, receipt, inspection, disposition, and restocking. A refund concerns money and may be full, partial, delayed, or issued without a physical return.

Map each state separately and decide which system owns approval and execution. The integration must prevent duplicate refunds, preserve tax and discount allocations, handle partial quantities, and update customer-facing status only after the relevant operational step is confirmed.

Can Shopify connect to a custom or legacy application?

Yes. Shopify’s APIs and event mechanisms can connect to a custom system through a supported API, database-safe service layer, file exchange, message queue, or purpose-built adapter. The legacy application can remain the system of record while Shopify provides a modern storefront and checkout.

Start with a narrow workflow and avoid direct database writes that bypass established business logic. Document hidden rules, validate identifiers, use a staging or adapter layer, and add reconciliation before expanding the integration.

Is a prebuilt app, an iPaaS platform, or custom middleware better?

A prebuilt app is often best for a standard integration between widely used systems. An iPaaS platform can be effective when several SaaS applications need moderate transformation and orchestration. Custom middleware is appropriate when the business has proprietary workflows, legacy systems, high volumes, strict security requirements, or complex exception handling.

A hybrid model is common. Evaluate functional coverage, total recurring cost, transaction limits, observability, data residency, vendor dependence, support, extensibility, and the consequences of failure—not only initial implementation speed.

How secure is a Shopify integration?

A Shopify integration can be secure when it uses supported authentication, least-privilege scopes, verified webhook signatures, encrypted transport, protected secrets, access controls, audit logging, dependency management, and disciplined deployment practices. Security also includes limiting personal data and maintaining deletion and retention procedures.

Risk often arises outside Shopify: exposed middleware, long-lived credentials, excessive ERP permissions, insecure logs, public storage, unpatched libraries, or overly broad administrative access. Review the full data path and every connected system.

How much does a Shopify integration cost?

Cost depends on the number of systems and workflows, data quality, availability of supported connectors, transaction volume, historical migration, B2B requirements, exception handling, testing, compliance, and ongoing support. A simple standard connector may require limited configuration, while a bi-directional ERP, inventory, fulfillment, and returns integration is a software project.

Request a discovery phase before a fixed implementation estimate. A useful proposal should separate one-time implementation, licenses or usage fees, infrastructure, monitoring, support, change management, and contingency for source-system limitations.

How long does a Shopify integration take?

A narrow integration using mature connectors may be implemented in weeks. A custom, multi-system program can take several months. The schedule is shaped by requirements clarity, API quality, access to test environments, data mapping, stakeholder availability, exception complexity, user acceptance testing, and cutover constraints.

The safest approach is phased: prove one end-to-end workflow, validate it with real operational users, then add the next. This exposes mapping and ownership issues earlier and produces usable value sooner.

Does a Shopify integration require ongoing maintenance?

Yes. Shopify, ERPs, CRMs, fulfillment providers, and internal processes all change. Integrations require monitoring, incident response, credential rotation, dependency updates, supported API upgrades, regression testing, reconciliation review, and adjustment when fields or business rules change.

Ongoing support should define who responds to alerts, how quickly failures are investigated, how messages are replayed, how changes are tested, and who approves production releases. The integration should be managed as an operational product, not a one-time script.

How can a business tell whether its Shopify integration is working?

Measure business outcomes and compare systems. Useful indicators include order-export success and latency, unacknowledged fulfillment requests, inventory discrepancies, duplicate-processing prevention, dead-letter queue size, webhook or event lag, reconciliation differences, and the age of unresolved exceptions.

A healthy dashboard should answer: What failed? Which customers or orders are affected? How long has the issue existed? Can it be replayed safely? Who owns the resolution? Periodic operational reviews are as important as uptime monitoring.

Build a Shopify integration that the business can depend on

The most valuable Shopify integrations are not the ones with the most connections. They are the ones that reduce manual work, protect data quality, recover from failures, and make ownership visible.

Telkoware helps businesses integrate Shopify with inventory, CRM, ERP, fulfillment, and custom or legacy applications. Our local, in-house team can assess the current data flow, identify integration risk, recommend the right architecture, and implement the highest-value workflows in manageable phases.

Start with a Shopify Integration Health Check. We will review system ownership, data mappings, APIs, events and webhooks, exception handling, monitoring, security, and reconciliation—then provide a practical roadmap for improvement.

Talk to Telkoware about your Shopify integration.

Authoritative Shopify integration resources

• Shopify APIs for apps
• GraphQL Admin API documentation
• Shopify events and webhooks
• Migrate from webhooks to Shopify Events
• Next Generation Events general availability
• Build inventory management apps
• Orders and fulfillment
• Fulfillment service apps
• GraphQL Admin API rate limits
• Shopify bulk operations
• Authentication and authorization
• Privacy law compliance