% of orders dispatched before dispatch_due_by, drives Alibris seller standing.
At a glance
Percentage of Alibris orders dispatched on or before the dispatch_due_by deadline Alibris set when the order was confirmed. Drives Alibris seller standing alongside cancellation rate; the metric buyers see when choosing between two listings of the same ISBN.
| What it counts | COUNT(orders WHERE dispatch_confirmed_at <= dispatch_due_by) / COUNT(orders) over trailing 30 days. Both numerator and denominator restricted to dispatched orders (cancellations sit on Cancellation Rate, not here). |
| API endpoint + report | Computed locally from the Alibris Inbound Orders feed (dispatch_due_by field) joined to the seller’s confirm-shipment events sent back via the Outbound Confirmations feed. Alibris publishes the resulting compliance figure on the seller’s Performance tile, with a 24 to 48h lag from this card. |
| Listing-quality impact | Direct. Sellers below 95% are flagged in seller standing; below 90% drops one ranking tier (~25 to 35% traffic loss); below 85% triggers automatic account review. Alibris Library Services (institutional buyer cohort) is particularly sensitive to seller-standing tier; libraries often filter to top-tier sellers only. |
| Fees / commission | Not applicable (count-based ratio). Commission impact is indirect: a search-rank demotion costs revenue, which costs commission paid. |
| Refunds / cancellations | Excluded from numerator and denominator. Cancelling instead of late-shipping moves the breach to Cancellation Rate, 3% threshold. |
| Currency | Not applicable. |
| Dispatch deadline calculation | Alibris sets dispatch_due_by based on the seller’s published handling time (1 to 5 business days, set in seller profile) plus order placement timestamp. Clock excludes weekends and seller-marked holiday days. Most booksellers run 2-business-day handling. |
| What counts as “dispatched” | The seller’s confirm-shipment event timestamp. Not the carrier scan, not buyer-received. Sellers who confirm-and-then-pack inflate SLA by 4 to 24 hours; Alibris tolerates this but over-tolerance generates buyer complaints. |
| Multi-marketplace overlap | Each marketplace tracks SLA independently with different thresholds: Alibris 95%, AbeBooks 95%, Amazon Books 96% (Late Shipment Rate <4%), eBay 95%. A seller hitting 96% on Alibris may be hitting 92% on Amazon, getting the harshest penalty there. |
| Time window | 30D vsP (trailing 30 days vs prior 30 days). |
| Alert trigger | <95%, the Alibris-published threshold. |
| Roles | owner, 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 independent bookseller, 666 Alibris orders in trailing 30 days, two-business-day handling time, single fulfilment location. Window 02 Apr 26 to 01 May 26.| Status | Orders | Share |
|---|---|---|
Dispatched on or before dispatch_due_by | 624 | 93.7% |
| Dispatched 1 to 24h late | 28 | 4.2% |
| Dispatched >24h late | 9 | 1.4% |
| Cancelled (excluded from SLA) | 5 | 0.7% |
| Still pending dispatch in window | 0 | 0.0% |
| Total in numerator/denominator | 661 | 100% |
| Dispatch SLA Compliance (this card) | 94.4% | (624 / 661) |
- The 28 orders dispatched 1 to 24h late are the most preventable category and represent 76% of the breach. All 28 came from a confirm-shipment cron job that runs daily at 23:00 EST while the warehouse pack-and-ship operation closes at 17:00 EST; the 6h gap puts every same-day shipment into the late bucket on the next-day’s dispatch_due_by deadline. Moving the cron to 17:30 EST would absorb most of these.
- A 9-order >24h-late tail can be dominated by one stockout event. Investigation showed 7 of the 9 came from a single 3-day inventory mismatch (28 to 30 Apr 26) where a warehouse pallet had been moved without the inventory tool being updated. The remaining 2 were genuine condition-mismatch events that should have been cancellations.
- Alibris’s seller standing tile lags this card by 24 to 48h. The bookseller’s Performance page on 01 May 26 shows 95.1% (ours says 94.4%). Alibris recomputes the dashboard tile once a day around 02:00 PST. By 02 May 26 our card matches within 0.1 to 0.3 points.
- Alibris Library Services orders (institutional buyers) have a different threshold expectation. Libraries often have internal procurement rules requiring 96%+ seller-standing. Falling to 94.4% may not just demote search rank, it may trigger your account being filtered OUT of library-buyer search results entirely, costing you the high-AOV institutional cohort. The financial impact is disproportionate to the percentage drop.
- Cross-marketplace consistency matters more than the Alibris number alone. The same bookseller’s AbeBooks SLA Compliance is 95.8% in the same window. The difference is the confirm-shipment cron runs daily on Alibris but hourly on AbeBooks; Alibris orders are actually dispatched on time but reported late. Fixing the Alibris feed cadence to hourly would lift Alibris SLA into compliance.
- The 7-day recovery path is well-defined. If the bookseller fixes the cron schedule today (01 May 26), the daily SLA contribution flips from 90 to 95% breach rate to 99% on-time tomorrow. The 30-day rolling figure climbs by ~0.4 points/day; back above 95% by 04 May 26 (3 days). Search-rank demotion typically reverses 7 to 14 days after the metric clears.
Sibling cards merchants should reference together
SLA Compliance is the operational vital sign. Pair with these to interpret it:| Card | Why pair it with Dispatch SLA Compliance |
|---|---|
| Cancellation Rate | Booksellers can hide late-dispatches by cancelling instead. The two share a budget; pushing one down often pushes the other up. Alibris polices both. |
| Pending Dispatch | Leading indicator. Orders past 75% of dispatch_due_by budget are about to become breaches. |
| Avg Time to Process (hrs) | Distribution view. SLA compliance is threshold-based; this is the mean. Both move together at different speeds. |
| Inbound Orders File Lag | If inbound feed lags, your dispatch clock runs before you see the order. 6h feed lag eats 6 hours of the 2-day handling budget. |
| Last Successful Upload | Outbound-confirm uploads are how Alibris learns you dispatched on time. Failed upload reads as late dispatch. |
| Total Revenue | SLA breaches dropping below 95% trigger search-rank demotion costing 25 to 35% of organic traffic. Revenue impact lags by 3 to 7 days. |
| AbeBooks SLA Compliance | Closest peer. Multi-marketplace booksellers should track both; same fulfilment team usually drives both numbers. |
| Amazon Books Late Shipment Rate | Amazon’s equivalent with tighter 4% threshold (96% on-time). Same operation will read better on Alibris/AbeBooks than Amazon. |
Reconciling against the vendor’s own dashboard
Where to look in the Alibris seller dashboard: Two views matter:- Sellers → Performance Dashboard. The official seller-standing view with the rolling 30-day on-time-dispatch percentage.
- Sellers → Manage Orders → filter by Late. Row-level audit of every late-flagged order with the actual late delta.
| Reason | Direction | Why |
|---|---|---|
| Refresh cadence | Theirs lags ours by 24 to 48h | Alibris recomputes the Performance Dashboard once daily around 02:00 PST. Our card recomputes every 4 hours on every feed refresh. By day 3 the two match within 0.2 points. |
| Time zone | Boundary days | Alibris uses US Pacific Time on the .com flagship; the connector uses UTC. Boundary effects shift one or two orders per day. |
| Outbound-confirm latency | Ours can show late even when Alibris shows on-time | If your outbound-confirm cron runs daily and an order shipped at 16:00 yesterday but the confirm event landed at 06:00 today, Alibris records dispatch at 06:00 (potentially late). Run hourly to avoid. |
| Cancellation reclassification | Either | A late-dispatch retroactively converted to cancellation moves out of the SLA denominator. Alibris’s dashboard sometimes lags this re-classification by 24 to 48h. |
| Holiday-day handling | Tiny | Sellers can mark vacation/holiday days in their Alibris profile; on those days dispatch_due_by pauses. |
| Card | Expected relationship | What causes legitimate divergence |
|---|---|---|
abebooks.ab_sla_compliance | Same operation, often different number. | Feed-cadence differences (daily vs hourly) and AbeBooks’s slightly different dispatch_due_by rounding can decouple by 2 to 5 percentage points. |
amazon.amzn_late_shipment_rate | Inverse-direction metric (Amazon counts late, this counts on-time), tighter threshold. | Amazon’s clock starts when paid, not when seller is notified. Amazon penalises seller-error cancellation harshly; Alibris tolerates up to 3%. |
ebay.ebay_late_shipment_rate | Different scoring model entirely. | eBay measures by carrier scan, not seller confirm. Booksellers who confirm-then-pack see eBay tighter than Alibris. |