ShopIntegrations
Use Case

Fulfillment Exception Handling

Automatically identify stuck orders, trigger remediations, and route edge cases to humans.

1

The problem

Orders get stuck in limbo. Your 3PL cancels a shipment because the carrier rejected the package dimensions. A customer address is undeliverable. A high-value order sits unfulfilled because one SKU is backordered but no one noticed. Your ops team discovers these exceptions days later - after customers have already emailed support. You are manually checking dashboards in three systems trying to find what is broken. Each exception requires detective work to understand what happened and how to fix it.

2

Why it happens

Fulfillment exceptions happen when the happy path breaks but no system takes ownership of the failure. Your 3PL webhook says fulfillment_hold but does not explain why or what to do next. Shopify shows fulfillment_requested but the request never reached the warehouse due to an API timeout. Split shipments create partial fulfillment states that do not match any schema. The root issue is missing exception handling logic - systems report failures, but there is no orchestration layer to classify them, trigger remediation workflows, or escalate to humans when automation cannot help.

3

Your options

We believe in honest recommendations. If native Shopify or an app will work, we'll tell you. Custom builds are for when they won't.

Native

Shopify Order Notifications

Email notifications when order status changes. Manual review required for all exceptions.

When to use

You process fewer than 100 orders per day and have dedicated ops staff who can manually triage exceptions.

App Store

Order Management Apps

Apps like ShipStation or AfterShip that provide dashboards and some automation rules for common exceptions.

When to use

Standard exception patterns (address validation, carrier errors) and moderate order volume (100-500/day).

Custom

Intelligent Exception Router

AI-powered classification of exceptions with automated remediation workflows and escalation paths. Learns from resolution patterns.

When to use

High order volume, complex fulfillment (multiple 3PLs, drop-shipping), or expensive exceptions (premium shipping, perishables).

4

Our recommended architecture

An event-driven exception handler that monitors fulfillment webhooks, classifies failures by type, applies remediation rules, and escalates unresolved cases. Integrates with support ticket systems for human handoff.

1

Monitor fulfillment webhooks and API polling for stuck orders

2

Classify exceptions by pattern (address issue, inventory shortage, carrier rejection, etc.)

3

Apply remediation rules: retry fulfillment, switch carriers, split shipments, cancel & refund

4

Track remediation attempts and success rates

5

Escalate to human workflow after N failed auto-remediation attempts

6

Create support ticket with full context and suggested actions

7

Learn from human resolutions to improve classification

5

Example outcomes

72% of exceptions resolved automatically without human intervention

Average exception resolution time reduced from 2.3 days to 4 hours

Zero customer complaints about stuck orders in the last quarter

$47K saved annually in expedited shipping costs by catching exceptions early

Ready to solve this problem?

Book a call and we'll walk through your specific situation, share relevant examples, and give you a clear path forward.