Grocery Stockouts and Seller Performance in Amazon's Marketplaces
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
ABSTRACT This study examines the relationship between grocery stockouts and sales performance on Amazon's marketplaces in five countries—Canada, France, Germany, the United Kingdom, and the United States. Using a dataset that comprises more than 290,000 distinct grocery products, we find that Amazon has higher sales and lower stockout rates than its third‐party sellers. Our analysis also reveals strong negative correlations between stockout rates and sales performance across all countries. Specifically, when products are unavailable for a 90‐day period, average sales rankings across all seller types are 14%–67% higher, indicating lower sales performance. The correlation between stockouts and sales rankings appears stronger for Amazon's own products compared to those sold by third‐party sellers. These results highlight how grocery inventory availability relates to sales performance across different seller types in Amazon's e‐commerce ecosystem, with implications for both platform operators and third‐party sellers.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it