TMS・WMS・ERP 連携チェックリスト

プレイブック概要

エンティティごとのシステム所有と source of truth、サンドボックスサンプル付き API/ファイルオプション、マスターデータ整合、冪等性付き shipment/order/stock イベントマッピング、隔離とリトライ、認証と監査、テスト harness、本番監視、文書化された手動フォールバックを検証してください。

エンティティごとに1 owner: 二重 master を避ける
実 EDI、XML、CSV、SFTP または API サンプルでプロトタイプ
オペレーター修正ツール付き隔離
遅延、エラー、照合を毎日監視
繁忙期 cutover 前に rollback を文書化

要点

TMS、WMS、ERP 連携前に何を検証すべきか？

エンティティごとに1 owner: 二重 master を避ける
実 EDI、XML、CSV、SFTP または API サンプルでプロトタイプ
オペレーター修正ツール付き隔離
遅延、エラー、照合を毎日監視
繁忙期 cutover 前に rollback を文書化

System ownership

Every integration argument starts with ownership. Decide which system creates, updates, and archives shipments, orders, inventory, charges, and documents before mapping fields.

Assign owner system per entity: shipment, order, line, stock, charge
Document read-only vs read-write roles for each connected system
Identify legacy systems that cannot be replaced in phase one
Confirm vendor contacts and upgrade windows for TMS, WMS, ERP
Align ownership with finance and operations leadership
Record decisions in architecture doc accessible to support teams
Review ownership when adding portals or automation layers

Source of truth

Source of truth defines which status, quantity, or charge is authoritative when systems disagree. Without it, portals and towers show conflicting answers.

Define authoritative milestone set for customer-facing status
Specify which inventory figure WMS vs ERP reports externally
Document charge calculation owner: TMS, ERP, or middleware
Plan conflict resolution when feeds disagree
Set freshness SLA per data type for downstream consumers
Avoid copying master data into multiple writable stores
Validate truth rules with customer service and dispatch

API availability

API maturity varies by vendor and tenant. Inventory available endpoints, auth models, rate limits, webhooks, and sandbox fidelity before estimating build effort.

List required operations: read status, create order, confirm ship, etc.
Obtain API docs, credentials, and sandbox for each system
Test rate limits and pagination on realistic volumes
Confirm webhook or polling strategy for near-real-time needs
Document version deprecation notices from vendors
Plan middleware if direct API-to-API is impractical
Capture gaps where only batch files exist

EDI, XML, CSV and SFTP options

Many logistics integrations still run on EDI, XML, CSV, or SFTP drops. Treat file specs as contracts, with with validation, archives, and replay.

Collect partner implementation guides and sample files
Document delimiter, encoding, and filename conventions
Define acknowledgment and error report formats
Archive inbound and outbound files with retention policy
Validate schema before processing, reject early
Plan reprocessing for corrected files without duplicates
Secure SFTP keys and rotate per security policy

Master data alignment

Integrations break on mismatched party IDs, locations, SKUs, and service codes. Master data alignment is ongoing. Not not a one-time migration task.

Map customer, carrier, location, and product identifiers cross-system
Define process for new account or SKU onboarding
Plan golden record or sync rules for parties and addresses
Handle aliases and legacy codes used by specific carriers
Schedule periodic reconciliation reports for master data drift
Assign data steward for exception resolution
Test mapping with top accounts and highest-volume SKUs

Shipment, order and stock event mapping

Event mapping translates operational reality into messages each system understands, ship confirm, pick complete, POD, invoice line, inventory adjustment.

List events per workflow: create, update, cancel, close
Map event fields to target schema with transformation rules
Define idempotency keys to prevent duplicate processing
Document partial shipment and backorder behavior
Align milestone names with customer portal language
Handle timezone and cut-off rules explicitly
Version mappings when vendors change code lists

Error handling

Errors are normal at logistics boundaries. Design quarantine, retry, notification, and logistics company correction. Not not silent failure or infinite retry loops.

Categorize errors: validation, auth, timeout, business rule
Build quarantine queue with reason codes and payload view
Set retry policy with exponential backoff and max attempts
Notify owners when error rate exceeds threshold
Allow reprocess after fix without duplicate side effects
Log correlation IDs across systems for support
Review top error patterns weekly during pilot

Security and authentication

Integration credentials are high-value targets. Use least privilege, secret rotation, and network controls appropriate to customer requirements.

Store secrets in managed vault. Not not source code
Use OAuth, API keys, or certificates per vendor best practice
Restrict IP allowlists where SFTP or fixed endpoints apply
Separate production and non-production credentials
Audit credential access and rotation schedule
Encrypt data in transit; consider at-rest for queued payloads
Align with customer security questionnaires early

Audit logs

Audit logs support disputes, compliance, and debugging. Log who triggered syncs, what changed, and which integration version ran.

Log inbound/outbound message IDs and timestamps
Record transformation version and mapping applied
Track manual reprocess actions with user identity
Retain logs per contract and regulatory needs
Make shipment-level trace available to support tools
Exclude sensitive fields from logs where required
Test log search during UAT scenarios

Testing

Integration testing needs fixture libraries, negative cases, and peak-volume rehearsal. Not not only happy-path demos.

Build fixture set from anonymized production samples
Test duplicate, missing reference, and partial updates
Simulate vendor timeout and auth failure
Run load test on batch windows if applicable
Include regression suite in CI for mapping changes
UAT with logistics companies on real exception cases
Sign off criteria tied to sync accuracy. Not not ticket closure

Monitoring

Production monitoring covers lag, error rates, queue depth, and reconciliation gaps, visible to integration owners before customers notice.

Dashboard lag per feed and entity type
Alert on error rate, queue depth, and stale data
Daily reconciliation report for critical entities
Runbook links from alerts to first-response steps
On-call rotation for integration incidents
Review monitoring after TMS/WMS upgrades
Track mean time to resolve quarantined records

Fallback processes

When integration fails during peak, logistics teams need manual paths that preserve service levels without corrupting systems of record.

Document manual entry procedure per critical workflow
Define when to disable automation vs switch to read-only
Communicate customer impact templates for delays
Plan catch-up sync after outage resolution
Rehearse rollback before peak season cutover
Assign decision maker for fallback activation
Post-incident review feeds mapping and monitoring improvements

実装

実践的な実装チェックリスト

Confirm system ownership and source of truth per entity
Prototype transforms on real API, EDI, XML, CSV, or SFTP samples
Ship quarantine, monitoring, and audit before broad rollout
Test negative cases and peak-volume scenarios in UAT
Document fallback and rollback before production cutover

FAQ

よくある質問

Does this checklist apply to EDI-only environments?

Yes. Ownership, master data, event mapping, error handling, monitoring, and fallback apply whether transport is API, EDI, XML, CSV, or SFTP. Format changes; discipline does not.

Should ERP integration wait until TMS and WMS are stable?

Often finance integration follows operational sync, but but define charge and invoice ownership early so TMS milestones do not conflict with ERP billing rules later.

How long should integration pilot run?

Long enough to see daily exceptions, a weekly reconciliation cycle, and at least one vendor or process change. Many teams pilot four to eight weeks before expanding scope.

When is custom middleware justified?

When multiple systems need canonical events, validation, and quarantine in one place, or or when vendor APIs cannot support portal and automation workloads directly.