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Card class: HeroCategory: Marketplace

At a glance

Live alert table listing every Alibris order whose dispatch_due_by deadline has passed without a confirm-shipment event. Each row is an SLA breach in progress; the longer it stays, the larger the seller-standing damage and the higher the buyer-complaint risk.
What it countsCOUNT(orders WHERE dispatch_due_by < NOW() AND dispatch_confirmed_at IS NULL AND status NOT IN ('CANCELLED', 'REFUNDED')). Maintains a row per order with order ID, buyer, ISBN, deadline, hours overdue, listed price.
API endpoint + reportComputed locally from the Alibris Inbound Orders feed joined to outbound confirm-shipment events. Recomputes every 4 hours; alert state updated in real time when confirm-shipment event lands.
SeverityP1. Each row directly damages Dispatch SLA Compliance, drives seller-standing tier, drives search rank, drives revenue.
What it doesn’t countCancelled, refunded, vacation/holiday-paused orders. Orders that confirmed shipment 5 minutes ago even if 20 minutes late (closed late-dispatch records).
Why separate from Pending DispatchPending Dispatch shows ALL undispatched orders (workload view). This card shows only orders past their deadline (alert view).
Fees / commissionNot applicable directly. Indirect: SLA breaches cumulate into seller-standing demotion suppressing search rank.
Refunds / cancellationsCancelling instead of shipping moves to Cancellation Rate, but doesn’t avoid penalty.
CurrencyNot applicable.
Common reasons(1) Inbound feed lag ate dispatch budget (~24%); (2) Staff absence / sickness (~21%); (3) Stockout deferred (~18%); (4) Confirm-shipment late by feed cadence (~17%); (5) Volume spike absorbed pick capacity (~12%); (6) Other (~8%).
Multi-marketplace overlapIndependent per marketplace. Alibris Library Services orders have longer dispatch windows; institutional flag delays the breach trigger.
Time windowRT (refreshed every 4 hours minimum).
Alert triggerany order past dispatch_due_by.
Rolesowner, operations.

Calculation

Calculated automatically from your Alibris data. See the At a glance summary above for what the metric tracks and the worked example below for a typical reading.

Worked example

A US bookseller, 666 orders/month average on Alibris, 2-business-day handling. Snapshot 01 May 26 09:00 UTC.
Order IDHours overdueISBNTitleBuyerListed priceRisk class
AL-12345211.4h9780393327748Beloved (Norton)US$12.20Low
AL-12344385.1h9780486282114Common Sense (Dover)US$7.40Low
AL-12343079.8h9780521296137Cambridge academicUK$44.00Medium (institutional)
AL-123418916.2h9780375702709Vintage classicUS$9.80Medium
AL-123404428.4h9780300100037Yale academicUS-LIB$38.00High (institutional)
AL-123389741.0h9780198569060Oxford rareDE$180.00High (rare)
AL-123376256.8h9780226458045Chicago academicUS-LIB$52.00Critical (institutional)
Card reads 7 orders; alert is firing. Six things to notice that are specific to Alibris and the book trade:
  1. The 7 late orders represent 1.05% of monthly volume but disproportionately impact SLA. Each costs ~0.15 percentage points on a 666-order/month seller. SLA at 95% drops to 93.95%.
  2. Triage by hours-overdue, not by order date. AL-1233762 is 56.8h late and AL-1234521 is 1.4h late; the former needs immediate intervention, the latter just needs to ship today.
  3. The 3 institutional orders (AL-1234307, AL-1234044, AL-1233762) are P0 institutional risk. Library Services buyers escalate slowly but have long memories; chronic late-dispatch on academic procurement gets you filtered out of library-buyer search.
  4. The 1 rare-book order (AL-1233897, $180 Oxford) is high reputational impact. Rare-book buyers leave detailed feedback. Ship today with courier upgrade.
  5. Confirm-shipment-late vs actually-late. Investigation showed AL-1234438 and AL-1234189 actually shipped on time but the confirm-shipment cron only runs daily at 23:00 EST. Move to hourly.
  6. The $343 of revenue across 7 orders isn’t the headline. Seller-standing damage (search-rank suppression) far exceeds direct revenue exposure. Library Services exclusion if it persists is a much larger downstream loss.

Sibling cards merchants should reference together

Late order processing is the active-breach view. Pair with these:
CardWhy pair it with Late Order Processing Queue
Dispatch SLA ComplianceThe aggregate metric this card feeds into.
Pending DispatchLeading indicator.
Avg Time to Process (hrs)Distribution view.
Inbound Orders File LagCause check; lag eats budget before order seen.
Last Successful UploadOutbound-confirm side.
Cancellation RateCompanion budget.
Total RevenueDownstream impact.
AbeBooks Late Order Processing QueuePeer marketplace.

Reconciling against the vendor’s own dashboard

Where to look in the Alibris seller dashboard:
  1. Sellers → Manage Orders → filter by Late. Row-level audit; Alibris highlights overdue rows.
  2. Sellers → Performance Dashboard. Aggregate seller-standing.
Why our alert may differ from Alibris’s UI:
ReasonDirectionWhy
Refresh cadenceOurs every 4hAlibris real-time; this card lags up to 4 hours.
Time zoneBoundary effectsAlibris uses US Pacific Time on .com; connector uses UTC.
Outbound-confirm latencyOurs can show late even when Alibris shows shippedRun cron every 15 minutes.
Vacation/holiday handlingOurs can show false breachesVacation-day sync requires connector configuration.
Cancelled-but-not-yet-ackedOurs can briefly show cancelled rowsUp to 30-minute propagation.
Cross-connector reconciliation:
CardExpected relationshipWhat causes legitimate divergence
abebooks.ab_alert_late_processingSame fulfilment, different queue.Each marketplace sets its own dispatch_due_by.
amazon.amzn_alert_late_processingStrictest peer.Amazon’s clock starts at payment; Alibris at confirmation.
shopify.unfulfilled_ordersDifferent model.DTC has no third-party SLA threshold.

Known limitations / merchant FAQs

The alert just fired with 7 orders. What do I do in the next hour? (1) Sort by hours-overdue descending; address worst breaches first. (2) Spot-check institutional / rare orders; ship today with courier upgrade. (3) Identify cause per breach; don’t bulk-cancel. Why does Alibris penalise me here when the book actually shipped on time but my confirm-shipment was late? Alibris can only see what your outbound feed tells them. Run outbound-confirm cron every 15 minutes minimum. Multi-marketplace, can I avoid this by selling exclusively on Alibris? Single-marketplace concentration carries 3 to 5x the platform-failure risk. Operational discipline (tight cron, daily ops review) is the right answer, not channel concentration. Listing-quality / Buy Box impact, recovery time after a breach cluster? Each breach hits SLA for 30 days. If cumulative drops below 95%, search-rank demotion within 24h; demotion lifts 7 to 14 days after returning above. Total recovery 30 to 45 days. Inventory-sync lag, false positives? Yes. Confirm-shipment cron schedule mismatched with warehouse pack times produces false-late readings. Run cron every 15 minutes during business hours. ISBN match quality, can it cause late dispatches? Indirectly. Wrong-ISBN-against-physical-book causes warehouse delays at picking. Rare books vs commodity, breach impact difference? Per-breach financial weight 30 to 80x higher on rare. ALWAYS triage rare-book breaches first. When does the card auto-clear? Each row clears on confirm-shipment event. Whole card empty when no row is past dispatch_due_by. Is there ever a reason to cancel rather than ship a late order? Yes if book on inspection is materially worse than catalogued. Use Out-of-stock reason on Alibris. Alibris-specific: Library Services / institutional buyers, special handling? Yes. Institutional cohort has long memories; chronic late-dispatch on academic procurement risks filtered-out from library-buyer search filters. Treat institutional orders carefully even if their dispatch window is longer.

Tracked live in Vortex IQ Nerve Centre

Late Order Processing Queue is one of hundreds of KPI pulses Vortex IQ tracks across Alibris and 70+ other ecommerce connectors. Nerve Centre runs the detection layer; Vortex Mind investigates the cause when something moves; Ask Viq lets you interrogate any number in plain English. Start for free or book a demo to see this metric running on your own data.