Claim LD03-SL-C15 (v1.0)
In randomized experiments run by a large cross-border online retail platform in 2023–2024, building generative AI into seven business workflows changed sales by between nothing detectable and 16.3%, depending on how much the AI added to the firm's existing practice; the four workflows with gains imply about $5 a year per consumer.
Provenance and status
- Claim type
- ESTIMATE (as printed: “ESTIMATE”)
- Publication status
- ELIGIBLE (PREPRINT) (as printed: “ELIGIBLE WITH PREPRINT QUALIFIER”)
- Verification state
- CONTENT_VERIFIED_PRIMARY (PREPRINT) (as printed: “CONTENT VERIFIED PREPRINT”; verified by: UNKNOWN)
- Does not license
- Effects on profits or productivity (labour and capital inputs are not counted); effects in other firms
- Source (field 6, as printed)
- Fang, Yuan, Zhang, Donati & Sarvary, “Generative AI and Sales Productivity: Field Experiments in Online Retail,” arXiv:2510.12049, v6, June 2026
- Source type (field 7)
- PREPRINT (as printed: “Preprint”)
- Institutional position
- Mixed
- Maturity (claim evidence / publication maturity)
- EMERGING (as printed: “EMERGING”)
- Recorded date
- 2026-10-15
- Currentness / correction
- This is the current version. No correction or concern relation is recorded on its Sources.
Version
Current version v1.0, resolved through the explicit current pointer CLAIM--LD03-SL-C15.
Pinned Sources (field 6, version-specific)
- “Fang, Yuan, Zhang, Donati & Sarvary, “Generative AI and Sales Productivity: Field Experiments in Online Retail,” arXiv:2510.12049, v6, June 2026” → SRC-SL-FANG-YUAN-ZHANG-DONATI-SARVARY-ARXIV-2510-12049-V6--v1.0 — Fang, Yuan, Zhang, Donati & Sarvary, “Generative AI and Sales Productivity: Field Experiments in Online Retail,” arXiv:2510.12049, v6, June 2026; class PREPRINT (explicit public provenance pin)
All 25 canonical Claim fields (raw values and normalized values)
| # | Canonical field | Canonical value (verbatim) | Normalized (Claim Value Vocabulary v1.0.2) |
|---|---|---|---|
| 1 | CLAIM ID | LD03-SL-C15 | — |
| 2 | PUBLIC-FACING CLAIM | In randomized experiments run by a large cross-border online retail platform in 2023–2024, building generative AI into seven business workflows changed sales by between nothing detectable and 16.3%, depending on how much the AI added to the firm's existing practice; the four workflows with gains imply about $5 a year per consumer. | — |
| 3 | CLAIM TYPE | ESTIMATE | base_types: ESTIMATE |
| 4 | RESEARCH STRAND | B — Firm and executive outcomes | — |
| 5 | MATURITY | EMERGING | states: EMERGING |
| 6 | SOURCE | Fang, Yuan, Zhang, Donati & Sarvary, “Generative AI and Sales Productivity: Field Experiments in Online Retail,” arXiv:2510.12049, v6, June 2026 | source_ids: SRC-SL-FANG-YUAN-ZHANG-DONATI-SARVARY-ARXIV-2510-12049-V6 |
| 7 | SOURCE TYPE | Preprint | classes: PREPRINT |
| 8 | INSTITUTIONAL POSITION | Mixed | — |
| 9 | SCOPE | One unnamed cross-border online retail platform; September 2023 to June 2024 | — |
| 10 | DESIGN | Randomized field experiments (A/B tests) run by the firm | — |
| 11 | SAMPLE / DATASET | Millions of users and products across seven workflows | — |
| 12 | MODEL / TOOL / VERSION | Generative AI built into firm workflows (chatbot, search, product descriptions, messages, ad titles, chargeback defence, translation) | — |
| 13 | COMPARATOR | Users and products under the firm's existing practice | — |
| 14 | MAIN RESULT | Sales effects from no detectable impact (advertising) to +16.3% (pre-sale chatbot); about $4.6–5.2 per consumer a year across the four positive workflows, assuming the gains add up; no worse return rates or ratings | — |
| 15 | INFERENTIAL TARGET | Firm-level sales effects of generative AI embedded in workflows | — |
| 16 | DOES NOT LICENSE | Effects on profits or productivity (labour and capital inputs are not counted); effects in other firms | — |
| 17 | VERIFICATION STATE | CONTENT VERIFIED PREPRINT | state: CONTENT_VERIFIED_PRIMARY · qualifiers: PREPRINT · verified_by: UNKNOWN |
| 18 | LIMITATIONS | Workflows chosen by managerial judgement, not systematically; two authors were paid consultants to the platform and one was its employee; not peer reviewed | — |
| 19 | CONTRADICTORY / SUPPORTING SOURCES | Contrasts with the absence of task-composition change when tools are given to individuals | — |
| 20 | GEOGRAPHY / LANGUAGE | Global platform / English | — |
| 21 | DISTRIBUTIONAL LEDGER | Larger gains for less experienced consumers | — |
| 22 | R01 / FIELD-MAP LINKS | LD-03, D2 | — |
| 23 | WHAT WOULD CHANGE THIS CLAIM? | Replication at other firms, or estimates net of the inputs used | — |
| 24 | PUBLICATION STATUS | ELIGIBLE WITH PREPRINT QUALIFIER | state: ELIGIBLE · qualifiers: PREPRINT |
| 25 | RECORDED DATE | 2026-10-15 | — |
Field 22 references resolved against Field Map v0.2: LD-03 (LIVING_DEBATE); D2 (DOMAIN)
Cited by Living Debate versions
Research-of-record provenance
Materialized by sociolens-materializer 0.6.0 at 2026-09-28T20:00:00.000Z; normalization contract SocioLens — Claim Value Vocabulary v1.0.2 — Pre-Spike Materialization Contract (v1.0.2). Content seal SHA-256 2decdb49d7612f1719f0260beb7ef9ea46173f97052fa13663ebaf0ace1834d6.
Repository-authored inputs (not Drive exports)
- SocioLens claim — LD03-SL-C15 v1.0 (v1.0) — written in the SocioLens repository by Project Lead (Claude, AI) on 2026-10-15; no Drive identity exists. Authority: AGENTS.md "Authority" (the Project Lead decides research content within the research-integrity rules) and the Owner's choice in the SocioLens project chat on 15 October 2026 to build the LD-03 debate; a new Claim, first version, written from the project's LD-03 source notes, checked against full texts or official abstracts. Block “ENTRY 15 — LD03-SL-C15” SHA-256
79c2d7ba0809bb1ac041f1801a9fe63ac8747fcb60352ca78add1401b9743930; fixturefixtures/authored/claims/LD03-SL-C15--v1.0.
Builder decisions (not Drive data)
- VERSION = v1.0 — basis: Claim version taken from the repository-authored claim fixture version (SocioLens claim — LD03-SL-C15 v1.0); the first version of a new Claim of the LD-03 debate
- CURRENT_POINTER = true — basis: repository-authored claim "SocioLens claim — LD03-SL-C15 v1.0" (Project Lead (Claude, AI), 2026-10-15); basis: AGENTS.md "Authority" (the Project Lead decides research content within the research-integrity rules) and the Owner's choice in the SocioLens project chat on 15 October 2026 to build the LD-03 debate; a new Claim, first version, written from the project's LD-03 source notes, checked against full texts or official abstracts
- FIELD_6_SOURCE_REFERENCE = SRC-SL-FANG-YUAN-ZHANG-DONATI-SARVARY-ARXIV-2510-12049-V6--v1.0 — basis: field 6 of ENTRY 15 — LD03-SL-C15 cites "Fang, Yuan, Zhang, Donati & Sarvary, “Generative AI and Sales Productivity: Field Experiments in Online Retail,” arXiv:2510.12049, v6, June 2026"; the only field-6 segment of this ClaimVersion's repository-authored ledger block.
- SOURCE_PROVENANCE_PIN = SRC-SL-FANG-YUAN-ZHANG-DONATI-SARVARY-ARXIV-2510-12049-V6--v1.0 — basis: explicit version-pinned public provenance of this ClaimVersion (Amendment v1.2 §6): the pinned field-6 Source record "Fang, Yuan, Zhang, Donati & Sarvary, “Generative AI and Sales Productivity: Field Experiments in Online Retail,” arXiv:2510.12049, v6, June 2026".