Shopify Admin Wismo Bulk Status Report

Purpose

Generates a bulk report of orders most likely to generate "Where Is My Order?" (WISMO) support tickets — shipped orders whose tracking hasn't updated in N days, and unfulfilled orders sitting past a configurable SLA. According to industry research, WISMO accounts for ~18% of all incoming support requests, making proactive identification a direct ops capacity investment. Read-only. Replaces manual order-by-order admin scanning or helpdesk searches. The CSV output can be used to proactively contact customers before they contact you.

Prerequisites

• shopify auth login --store <domain>
• API scopes: read_orders

Parameters

Workflow Steps

1. OPERATION: orders — query (unfulfilled at-risk) Inputs: first: <limit>, query: "fulfillment_status:unfulfilled created_at:<='<NOW minus unfulfilled_sla_days>'", sort by CREATED_AT ascending Expected output: Orders unfulfilled past SLA window with name, createdAt, customer, displayFulfillmentStatus; label as UNFULFILLED_OVERDUE

2. OPERATION: orders — query (shipped but potentially stale) Inputs: first: <limit>, query: "fulfillment_status:shipped updated_at:<='<NOW minus stale_tracking_days>'", sort by UPDATED_AT ascending Expected output: Shipped orders not updated recently with name, createdAt, fulfillments.createdAt, fulfillments.trackingInfo; label as SHIPPED_STALE_TRACKING

GraphQL Operations

# orders:query — validated against api_version 2025-01
query WismoOrders($first: Int!, $after: String, $query: String) {
  orders(first: $first, after: $after, query: $query, sortKey: CREATED_AT) {
    edges {
      node {
        id
        name
        createdAt
        updatedAt
        displayFulfillmentStatus
        displayFinancialStatus
        customer {
          id
          firstName
          lastName
          defaultEmailAddress {
            emailAddress
          }
        }
        shippingAddress {
          city
          province
          country
        }
        fulfillments {
          createdAt
          status
          trackingInfo {
            number
            url
            company
          }
        }
        totalPriceSet {
          shopMoney { amount currencyCode }
        }
      }
    }
    pageInfo {
      hasNextPage
      endCursor
    }
  }
}

Session Tracking

Claude MUST emit the following output at each stage. This is mandatory.

On start, emit:

╔══════════════════════════════════════════════╗
║  SKILL: wismo-bulk-status-report             ║
║  Store: <store domain>                       ║
║  Started: <YYYY-MM-DD HH:MM UTC>             ║
╚══════════════════════════════════════════════╝

After each step, emit:

[N/TOTAL] <QUERY|MUTATION>  <OperationName>
          → Params: <brief summary of key inputs>
          → Result: <count or outcome>

On completion, emit:

For format: human (default):

══════════════════════════════════════════════
OUTCOME SUMMARY
  Unfulfilled overdue orders:      <n>
  Shipped stale-tracking orders:   <n>
  Total at-risk orders:            <n>
  Errors:                          0
  Output:                          wismo-report-<YYYY-MM-DD>.csv
══════════════════════════════════════════════

For format: json, emit:

{
  "skill": "wismo-bulk-status-report",
  "store": "<domain>",
  "started_at": "<ISO8601>",
  "completed_at": "<ISO8601>",
  "dry_run": false,
  "steps": [
    { "step": 1, "operation": "WismoOrders", "type": "query", "params_summary": "fulfillment_status:unfulfilled, sla_days: <n>, limit: <n>", "result_summary": "<n> orders", "skipped": false },
    { "step": 2, "operation": "WismoOrders", "type": "query", "params_summary": "fulfillment_status:shipped, stale_days: <n>, limit: <n>", "result_summary": "<n> orders", "skipped": false }
  ],
  "outcome": {
    "unfulfilled_overdue_count": 0,
    "shipped_stale_count": 0,
    "total_at_risk": 0,
    "errors": 0,
    "output_file": "wismo-report-<YYYY-MM-DD>.csv"
  }
}

Output Format

CSV file wismo-report-<YYYY-MM-DD>.csv with columns: risk_type, order_name, customer_email, order_date, days_waiting, fulfillment_status, tracking_number, tracking_company, shipping_city, shipping_country.

Two sections in the CSV (separated by risk_type column value): UNFULFILLED_OVERDUE and SHIPPED_STALE_TRACKING. For human format, also shows a summary table before the CSV path.

Error Handling

Best Practices

1. Run this report daily during your morning ops review alongside fulfillment-status-digest — together they cover both the ops queue and the customer-facing risk.
2. Sort the CSV by days_waiting descending to prioritize outreach to the most overdue orders first.
3. For UNFULFILLED_OVERDUE orders, forward to the fulfillment-status-digest skill to understand why they haven't been fulfilled and use order-hold-and-release if needed.
4. For SHIPPED_STALE_TRACKING orders, check if the carrier tracking URL shows movement — if it's genuinely stalled, proactive outreach reduces ticket volume significantly.
5. Use format: json to pipe the output into a Slack alert or CRM automation that creates follow-up tasks for your support team.