Manufacturers planning an Adobe Commerce ERP and CRM integration project tend to underestimate how much of the work happens before any code gets written. The technical implementation is the visible part. The discovery, decisions, and documentation that happen earlier are what determine whether the project lands smoothly or produces months of rework. This checklist is the version of pre-flight planning that experienced integration teams use, organized into the categories that most often cause projects to slip when they’re not handled up front.
The checklist isn’t sequential, many of these items run in parallel during discovery, but each one needs an explicit answer before implementation starts. Skipping any of them is the most reliable way to produce an integration project that ships late or with surprising operational issues.
Systems Inventory and Versions
Before any architecture discussion, the project needs a complete inventory of the systems involved. The exact ERP product and version, including any major customizations or modules. The CRM product and version with the same level of detail. The current Adobe Commerce version (or whether this is a new Adobe Commerce implementation). Any middleware platforms already in use (MuleSoft, Boomi, Workato, custom services). Any other systems that touch the data flow (warehouse management, transportation management, financial close, business intelligence, marketing automation).
Each system’s documentation should be located, gathered, and reviewed. Many integration projects discover late that documentation hasn’t been updated since the last upgrade, which means the implementation team is working from incorrect assumptions. The discovery phase should validate that documentation matches the running system through actual testing rather than trust.
The integration partner should be checking compatibility between system versions before designing the integration architecture. Some ERPs deprecate APIs across versions, some integration platforms only support certain protocol versions, and Adobe Commerce itself has shifted significantly between major versions in terms of integration patterns.
Master Data Reconciliation
Master data management is the single biggest area where integration projects discover scope they didn’t anticipate. The checklist needs explicit answers about customer master data, product master data, and pricing master data before implementation starts.
For customer master data: which system is the source of truth? How does the ERP customer record reconcile with the CRM account record? Are there duplicate records that need to be merged? How will new customers entering through commerce be matched against existing ERP records, and how will they be created in the CRM as account contacts?
For product master data: which system owns the master catalog? How does the ERP product structure (including configurable products, BOMs, kits, and bundles) translate to Adobe Commerce’s product type model? How are product attributes (technical specifications, certifications, application data) modeled across systems?
For pricing master data: where does the pricing logic live? Is pricing calculated in the ERP and synced to commerce, calculated in real-time via API callback, or duplicated in commerce with sync rules? What are the rules around contract pricing, volume tiers, promotional pricing, and currency conversion?
Each answer needs to be documented before integration design begins. Discovering master data conflicts during implementation rather than discovery is the most common cause of timeline slip in manufacturer integration projects.
Data Flow Specification
Each data flow between systems needs to be specified explicitly. The checklist covers the five flows that exist in most manufacturer integrations and the questions that need answers for each.
Product and catalog flow: What triggers a product sync, schedule, event, or both? What’s the latency tolerance? How are images handled (URL reference, file transfer, manual upload)? How are translations handled if multi-language? How are categories and taxonomies mapped between systems? How are product discontinuations handled?
Pricing flow: Is pricing pre-synced, real-time API call, or hybrid? What’s the cache strategy if hybrid? What customer attributes drive pricing (account number, customer class, contract ID, geography)? How are price changes communicated to the customer (notification, transparent re-pricing, lock-and-quote)?
Inventory flow: Event-driven or polled? What inventory pool serves commerce (single pool with field sales, reserved channel pool, distributed across warehouses)? What’s the latency tolerance for availability accuracy? How are backorders and lead times communicated? How is allocated-versus-available inventory distinguished?
Customer flow: When does a new commerce registration create an ERP customer record? When does it match to an existing record? What sync direction applies to changes (commerce to ERP, ERP to commerce, bidirectional)? How are addresses, contacts, and payment terms maintained?
Order flow: What’s the order acknowledgment timing (real-time confirmation, async after ERP receives)? How are order modifications handled? What status events flow back to commerce (received, fulfilled, shipped, delivered, invoiced)? How are returns and credits handled?
Authentication and Authorization
Integration security is non-negotiable for manufacturer environments and needs explicit specification.
The authentication mechanism between systems should be documented for each integration point. OAuth 2.0, API keys with rotation policies, mutual TLS, or other patterns each have implications for operational complexity and security posture. The choice should be made deliberately based on what the systems support and what the security organization requires.
Authorization rules should specify what each integration role can do. The commerce integration shouldn’t have ERP permissions beyond what it needs. The CRM integration shouldn’t have ability to modify financial records. Least-privilege design protects against integration credentials being compromised.
Secret management should be specified. Hard-coded credentials in source code or configuration files are unacceptable. The integration should use a secret management system (AWS Secrets Manager, Azure Key Vault, HashiCorp Vault) with documented rotation procedures.
| Checklist Category | Items That Need Pre-Implementation Answers |
|---|---|
| Systems Inventory | Exact versions, customizations, current state of documentation |
| Master Data | Source of truth, reconciliation rules, duplicate handling |
| Data Flow Spec | Trigger, latency, transformation rules per flow |
| Authentication | Mechanism, credentials, secret management |
| Performance | Volume estimates, ERP capacity, caching strategy |
| Monitoring | Health checks, alerts, escalation paths |
| Failure Handling | Retry policy, dead letter queue, manual reconciliation |
| Compliance | Data flow review, audit logging, retention |
| Cutover | Migration approach, parallel running, rollback plan |
| Operational Handoff | Runbook, on-call coverage, knowledge transfer |
Performance and Capacity Planning
Performance is where integrations most often fail in production after passing testing. The checklist needs realistic capacity planning.
Volume estimates need to come from actual measurements where possible. How many orders per day does commerce expect to generate? How many product updates per day does the ERP produce? How many concurrent customers will hit the pricing API at peak? Estimates should include peak conditions (Black Friday, end of quarter, major promotions), not just steady-state.
ERP capacity needs to be evaluated. What’s the request rate the ERP can sustain without affecting other operations? What are the peak hours when the ERP is already busy with internal workflows? What’s the contention pattern between commerce integration and other ERP work?
Caching strategy needs to be designed where it’s applicable. What can be cached, for how long, and how is cache invalidation handled? For pricing in particular, caching has correctness implications that need careful design.
Bemeir’s Adobe Commerce engineering team approaches capacity planning empirically, running load tests that simulate realistic peak conditions before launch, rather than discovering capacity limits in production.
Monitoring and Operational Health
The integration is going to be operational infrastructure that needs ongoing monitoring. The checklist needs to cover what gets monitored and how the operations team responds.
Health checks should be defined for each integration component. Is the connection between commerce and the middleware healthy? Is the middleware processing queue at expected rates? Is the ERP responding to API calls within expected latency? Are events being acknowledged? Health checks should produce signals that operations can act on, not just status pages no one watches.
Alerts should be defined with appropriate thresholds and escalation paths. Pricing API failures need different urgency than analytics sync failures. The alert configuration should reflect the operational priority of each integration.
Dashboards should give the operations team visibility into integration health at a glance. Queue depths, processing rates, error rates, and latency distributions should be visible without having to dig through logs.
Failure Handling and Recovery
Integrations will fail. The question is whether failure is handled gracefully or produces customer-visible breakage. The checklist needs explicit failure handling.
Retry policies should be defined per failure type. Transient network failures should retry with exponential backoff. Authentication failures shouldn’t retry blindly because the credentials are the problem. Business rule failures (e.g., order validation failures in the ERP) shouldn’t retry because the data is the problem.
Dead letter queues should capture events that can’t be processed for manual review. Without a dead letter queue, failed events get lost and the operations team has no way to find them later.
Manual reconciliation procedures should be documented for cases where automated recovery isn’t possible. When the ERP comes back from an outage, how does the integration catch up? When a sync error produces a data mismatch, what’s the manual fix?
Compliance and Audit
For regulated manufacturers (medical device, food and beverage, defense, financial), the integration needs explicit compliance design.
Data flow documentation should support compliance review. Where does each data element flow, how is it protected in transit and at rest, and how is access logged? The documentation should be in the format the compliance team uses.
Audit logging should capture the events that compliance and security need to investigate. Failed authentications, data modifications, large data extractions, and configuration changes should all be logged with sufficient detail to support audit and incident response.
Retention requirements should be designed into the integration. If the manufacturer needs to retain order data for seven years to satisfy regulatory requirements, the integration should support that retention without manual intervention.
Cutover and Migration
The plan for moving from current state to integrated state needs explicit design.
Data migration: how is existing data moved from current systems to the integrated state? What’s the validation that migrated data is correct? What’s the rollback if migration produces problems?
Parallel running: is there a period where the new integration runs alongside the existing process to validate behavior? How are discrepancies reconciled during parallel running?
Cutover timing: when does the actual cutover happen? What’s the communication plan to internal teams and customers? What’s the support plan for the first weeks after cutover?
Rollback plan: if the integration produces serious problems after cutover, how does the manufacturer return to the previous state? What’s the latest point at which rollback is feasible?
Operational Handoff
The integration partner won’t be running the integration forever. The handoff to the manufacturer’s operations team needs explicit planning.
Runbooks should document operational procedures, health monitoring, common error responses, escalation paths, change procedures. The runbooks should be written for the team that will use them, not for the team that built the integration.
Knowledge transfer should be active, not just documentation hand-off. The operations team needs working knowledge of the integration architecture, not just the ability to read about it.
On-call coverage should be defined, who responds to integration incidents, how they’re paged, what the response SLA is, and how escalation to the integration partner works for issues that exceed in-house capability.
Engagements with Bemeir’s enterprise eCommerce practice include this operational handoff as part of the standard project plan, because the team operates on the assumption that the manufacturer needs to own the integration after launch with optional ongoing support, not depend on the partner for routine operations. The reference resources worth bookmarking for the technical work are the Adobe Commerce developer documentation and the Magento Open Source release notes on GitHub to track API changes that affect integration.
