Email Testing Checklist for E-commerce

Use a separate domain and MX records for testing so incoming mail never touches production mailboxes. This allows you to exercise inbound APIs safely while capturing raw MIME for analysis.

List every email type you process: order confirmations, vendor invoices, shipment notices, return approvals, and refund confirmations. Prioritize by revenue impact and map each to expected structured outputs.

Collect real-world examples from top suppliers and carriers, then anonymize and catalog them. These samples drive repeatable tests against varied subject lines, bodies, and attachment types.

Prepare fixed test data with known order numbers, SKU mixes, taxes, and addresses. Control these inputs to assert that parsers and webhooks map fields correctly to your order system schema.

Set explicit targets for end-to-end latency, parse accuracy by field, and retry behavior. Align stakeholders on what constitutes a pass for each email type and workflow.

Use plus-tagging or subaddressing (for example order+12345@domain) so each incoming message maps to a specific order. This enables precise routing and simplifies deduplication.

Create aliases like vendor-acme@domain and carrier-xyz@domain to funnel unique templates into tailored parsers. This isolates brittle format logic and reduces false positives.

Set TTLs so disposable addresses deactivate once an order is complete or the RMA period ends. Expiration limits noise and reduces the risk of misrouted late vendor emails.

Use distinct mailboxes like returns@, invoices@, and tracking@ to dispatch events to separate queues. This keeps vendor invoices out of return pipelines and simplifies SLO monitoring.

Validate authentication and drop obvious backscatter to keep your test feeds clean. Good authentication data helps you debug parsing rather than spam artifacts.

Parse Order ID, PO number, and customer reference from multiple locations, including custom headers. Vendors change subjects often, so fall back to patterns in body content when needed.

Convert formats like 1.234,56 € and 12/03/2026 into canonical values with attached currency codes. Consistent normalization ensures totals and taxes load correctly into your ERP.

Prefer the text part when available and sanitize HTML if fallbacks are required. Remove trackers and collapsed whitespace so pattern matching remains stable across templates.

Use heuristics and delimiters to isolate the latest message content before extraction. This is crucial for return threads where customers and vendors reply with long histories.

Parse line items from CSV and extract totals from PDFs, with OCR fallback for image-based invoices. Save images for RMAs and link them to the order or return record.

Reject unsigned or stale requests and store nonces to block replays. This prevents forged vendor events from altering orders or triggering refunds.

Use a composite key of email Message-ID plus parsed Order ID to deduplicate resends. Idempotency guards against double fulfillment and duplicate refunds.

Simulate 5xx/429 responses and verify bounded retries with randomized delays. Proper backoff keeps load stable during incidents and avoids thundering herds.

Assert presence and types for totals, taxes, line items, and tracking numbers before persisting. Reject or quarantine events that fail validation to protect downstream systems.

When webhook delivery fails, switch to scheduled REST polling for recent messages. This keeps orders moving while you diagnose endpoint issues.

Test confirmation emails from at least three distinct template families with different locales and tax displays. Ensure parsers tolerate subject tweaks and promotional banners.

Confirm that return numbers, reasons, and item conditions are captured from body text and attached images. Persist media links for warehouse review.

Parse multiple tracking numbers in one thread and create shipment records per package. Ensure remaining items stay open until subsequent notices arrive.

Load CSV manifests to reconcile line items and convert totals to your ledger currency. Flag mismatches between invoice and order line quantities.

Decode legacy charsets and normalize punctuation before pattern matching. Verify that extracted names, addresses, and numbers survive bidi and locale differences.

Automate daily sends for confirmations, invoices, shipments, and returns into your sandbox. Compare parsed JSON to golden fixtures to catch drift early.

Track success percentages by email type and median time from receipt to event. Visual signals help operations spot vendor template breaks quickly.

If a vendor typically sends a shipment notice within 30 minutes of label creation, alert when it does not arrive. Missing emails can be as damaging as bad parses.

Store raw MIME hashes, parsed JSON, and webhook attempts with masked personal data. Audits accelerate incident response without exposing sensitive information.

Track parser rules by vendor and template version, with change approvals and rollback options. Version control reduces regressions when vendors tweak layouts.