Sample audit output

Sample 30-day stuck-order audit report

This is the kind of proof asset a Shopify + ShipStation team gets before deciding whether a live exception queue is worth piloting: what got stuck, how long it sat, where the source evidence lived, and what to fix first.

Sanitized fictional sample. The company, order IDs, counts, and costs below are illustrative. They are modeled on common Shopify, ShipStation, and CSV exception patterns, not real customer data.

30-day stuck-order audit: example output

Prepared for a fictional DTC brand using Shopify, ShipStation, receiving CSVs, returns exports, and a claims spreadsheet. Audit window: May 1-30, 2026.

Sample accountAcme Home Goods
Warehouse modelOne warehouse
Orders reviewed8,420
Sources reviewed5 exports
Exceptions found
214
Queue items that needed an owner, age, and next action.
Past cutoff
61
Paid orders sat beyond the promised ship-by window.
Oldest item
3d 4h
A paid Shopify order never reached ShipStation.
At-risk cost
$7.4k
Estimated refunds, reships, expedite labels, and claim leakage.

Executive summary

The sample team did not have one catastrophic system failure. It had many small misses across Shopify, ShipStation, and CSV-heavy warehouse processes. The highest-leverage fix is not a WMS migration; it is a daily owned exception queue cleared before cutoff risk compounds.

What repeated

  • Paid Shopify orders missing in ShipStation were discovered late, usually after a customer ticket.
  • Receiving exceptions existed in CSVs but were not tied to claims owners or due dates.
  • Return holds waited for decisions because refund/restock ownership was unclear.

What to fix first

  • Start every morning with one queue filtered to past-cutoff and same-day cutoff risk.
  • Assign one owner per exception type, not per spreadsheet tab.
  • Keep source evidence attached so claims and customer updates are faster.

Exception breakdown

This table is the core of the audit: a count by stuck-order type, the oldest open item, the likely cause, and the first queue rule StuckOrders would enable.

Sanitized sample exception counts from a 30-day Shopify + ShipStation audit.
Exception type Count Oldest Likely source Recommended queue rule
Awaiting shipment past cutoff 61 31h ShipStation order status Alert same day
Paid order missing in ShipStation 19 3d 4h Shopify vs ShipStation mismatch Sync gap owner
Fulfillment not synced back to Shopify 27 22h ShipStation shipment export Tracking repair
Return hold awaiting decision 9 2d 6h Returns CSV Refund/restock owner
SKU blocker halting fulfillment 34 19h Inventory and order tags SKU blocker queue
Short or damaged receipt 42 2d 1h Receiving CSV Claim evidence
Unowned vendor or carrier claim 22 2d 14h Claims spreadsheet Due date owner

Sample queue items

A real audit does not stop at counts. Each exception is converted into a queue item with evidence, age, owner recommendation, and the next action.

Example queue rows from the sanitized sample report.
Item Signal Age Evidence Suggested owner Next action
ORD-10482 Awaiting shipment past cutoff 31h Shopify paid, ShipStation awaiting label Outbound lead Prioritize label or customer update before noon.
ORD-1183 Paid order missing in ShipStation 3d 4h Shopify order exists, no ShipStation match Ops manager Check channel mapping and re-push order.
RTN-552 Return hold undecided 2d 6h Returns CSV row, no refund/restock field Customer ops Choose refund, restock, or escalate damaged item.
PO-2231 Damaged receipt 12h Receiving CSV shows 3 units damaged Receiving lead Attach photos and open vendor claim.
SKU-4471 SKU blocker 19h Order tag plus negative available quantity Inventory owner Resolve oversell or split shipment.

Recommended 30-day pilot scope

Based on this sample audit, the first live pilot should be intentionally narrow: do not replace the warehouse stack, just catch the repeat exception patterns and prove response time improves.

Week 1

Connect read-only

Shopify, ShipStation, Slack digest, and one receiving or returns CSV mapping. No write access to stores.

Weeks 2-3

Clear the morning queue

Track open count, oldest exception, past-cutoff items, and how many queue rows receive owners by 9am.

Week 4

Review ROI

Compare audit baseline to pilot behavior: fewer stale items, faster owner assignment, and clearer claim evidence.

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