Issue 1
2026-08-06 to 2026-08-31 · 26 daily aggregate rows · 3,120 private item observations
Keeps this task when a local version exists.
GlobalEnglishDeutschlandDeutsch · Market homeItaliaItaliano · Market homeFranceFrançais · Market homeEspañaEspañol · Market homeSingaporeEnglish · Market home한국한국어 · Market homeIndonesiaBahasa Indonesia · Market homeViệt NamTiếng Việt · Market homeUnited StatesEnglish · Market homeUnited KingdomEnglish · Market homeCanadaEnglish · Market homeAustraliaEnglish · Market homeIssue 1 follows the same 120 product-detail records once per day. Across 26 completed days, the composite median was 4.5/5, while the logistics and after-sales fields produced very different below-3.5 shares. That gap tells buyers to open the component fields. It does not support a supplier verdict.
The one-line version, free to quote with attribution: In a fixed, non-random Supplymo panel of 120 1688 product-detail records observed once daily from 2026-08-06 to 2026-08-31, the composite-service median across 3,119 returned score observations was 4.5/5; 1,291 of 3,119 logistics-score observations and 500 of 3,119 after-sales-score observations were below 3.5, while 0 of 3,120 daily observations were explicitly marked offer_not_returned by the collection contract.

Liam Cai · Founder, Supplymo
Published 2 September 2026 · Collected 2026-08-31 · Yiwu, China
n = 3119 score observations. 2026-08-06 to 2026-08-31. One daily read-only detail call for each item in the fixed 120-item panel; numeric score rows only.
4.5/5
composite-service median
3,119 numeric observations; platform-returned, not audited.
41.4%
logistics scores below 3.5
1,291 of 3,119 numeric observations.
16.0%
after-sales scores below 3.5
500 of 3,119 numeric observations.
0/3,120
explicit offer_not_returned observations
A non-return would still not prove permanent delisting.
The composite-service field had a median of 4.5/5 across 3,119 numeric observations. In the same panel, 1,291 logistics observations fell below 3.5. These fields should not be collapsed into one supplier verdict without knowing how the platform defines and weights them.
For a live order, ask for the package facts, dispatch terms and written supplier answer that matter to that shipment. A marketplace score is context; it is not the evidence file for your goods.
The 120 internal offer IDs were selected once on 6 August 2026. The same set was queried on every day in this issue. New high-scoring listings were not swapped in, and low-scoring records were not removed from the denominator.
The trade-off is deliberate: a fixed panel can show how one defined shelf changes, but it cannot describe the entire marketplace. Future issues must keep that distinction visible.
No observation in this issue was explicitly marked offer_not_returned. If that status appears in a later issue, it will mean only that the read-only detail call did not return the offer on that run.
Collection errors are a separate state and never count as unavailable. This prevents a network or API failure from becoming a false delisting claim.
Putting this before the method rather than after it is deliberate. A number without its boundary travels further than the boundary does.
All 10 of them travel inside the evidence file, so they stay attached to the data after it leaves this page.
Everything below is free to reuse with attribution. If you are writing about this and need a cut of the data we have not published, ask and we will run it.
One line, free to quote with attribution
In a fixed, non-random Supplymo panel of 120 1688 product-detail records observed once daily from 2026-08-06 to 2026-08-31, the composite-service median across 3,119 returned score observations was 4.5/5; 1,291 of 3,119 logistics-score observations and 500 of 3,119 after-sales-score observations were below 3.5, while 0 of 3,120 daily observations were explicitly marked offer_not_returned by the collection contract.
How to cite this study
Liam Cai. "Supplymo 1688 Shelf Index — Issue 1." Supplymo, 2 September 2026, https://supplymo.com/research/1688-shelf-index.
The underlying data
Each public row aggregates one completed calendar-day run across the same 120 panel items. Offer and seller identifiers are not published, and the panel was not de-duplicated by seller. 10 stated limits travel inside the file. Free to reuse with attribution under CC BY 4.0.
In a fixed, non-random Supplymo panel of 120 1688 product-detail records observed once daily from 2026-08-06 to 2026-08-31, the composite-service median across 3,119 returned score observations was 4.5/5; 1,291 of 3,119 logistics-score observations and 500 of 3,119 after-sales-score observations were below 3.5, while 0 of 3,120 daily observations were explicitly marked offer_not_returned by the collection contract. The score denominators and all stated limits are published with the data.
No. The panel contains 120 product-detail records selected from the first page of 12 deliberately chosen English searches. It was not de-duplicated by seller and cannot represent all of 1688.
The daily aggregates are enough to reproduce every public figure while keeping offer IDs, seller identity, shop names, prices and product details out of the downloadable dataset.
No. 3.5 is a descriptive threshold chosen for this issue. The fields are platform-returned display values, not Supplymo inspections, audited fulfilment outcomes or supplier approval decisions.
No. It means the product-detail call explicitly did not return that offer on that run. It cannot prove a permanent delisting, stockout, business closure or unavailability to every buyer.
The plan is one issue per completed measurement window on this fixed URL. Each issue keeps its dates and evidence boundary; the panel is not silently reselected to improve the numbers.
No. A panel trend cannot answer whether one product, supplier, MOQ, package, document set or shipping route is safe to approve. Product Check reviews the exact buyer decision before payment.
Issue archive
Issue 1
2026-08-06 to 2026-08-31 · 26 daily aggregate rows · 3,120 private item observations
Official API source
Research accountability
Author: Liam Cai. Collected 2026-08-31; published 2026-09-02.
Every published figure was deterministically recomputed from the sanitized daily rows and checked against the private source-window hash. No independent human reviewer is claimed.
Check the exact product
Send the exact product link, quantity, destination and supplier clue for a written pre-payment review.