Retail and Logistics
Dynamic Pricing and Markdown Optimisation
Sets prices and markdowns from forecast demand, stock and competitor prices.
Named Models
The research names no model for this use case.
Where this comes from
Models the research names for this use case. Research, with sources on each model record.
Who Runs It
No deployment is recorded for this use case.
Where this comes from
Documented uses by named organisations. The evidence column says who made the claim.
Candidate Models
TabArena: All Tasks, no imputation, snapshot 2026-05-06, 59 entries
A general benchmark for this model class, not a test on this use case. Elo across tabular tasks, anchored RandomForest default = 1000; TabPFN-lab researchers are involved. Higher is better. Elo has no zero, so the axis starts at 1,200. Showing 10 of 13.
AutoGluon 1.5Amazon maintainer-run1,700
TabPFN-2.6Prior Labs maintainer-run1,626RealTabPFN-2.5Prior Labs maintainer-run1,604
TabICL v2INRIA maintainer-run1,598RealMLPINRIA maintainer-run1,514
TabDPTLayer 6 AI maintainer-run1,460
TabMYandex maintainer-run1,448
LightGBMMicrosoft AI maintainer-run1,435CatBoostYandex maintainer-run1,418
XGBoostDMLC community maintainer-run1,3761,2001,5001,800
TimesFM 3.0Google, time seriesReleasedAug 2026open weightshas scoreslast 18 monthsXGBoostDMLC community, tabularReleasedAug 2026open weightshas scoreslast 18 monthsLightGBMMicrosoft AI, tabularReleasedJul 2026open weightshas scoreslast 18 months
Toto 2.0 1BDatadog, time seriesReleasedJun 2026open weightshas scoreslast 18 monthsToto 2.0 2.5BDatadog, time seriesReleasedJun 2026open weightshas scoreslast 18 monthsToto 2.0 313MDatadog, time seriesReleasedJun 2026open weightshas scoreslast 18 monthsTabPFN-2.6Prior Labs, tabularReleasedMar 2026open weightshas scoreslast 18 months
Granite PatchTST-FM r1IBM, Rensselaer Polytechnic Institute, time seriesReleasedMar 2026open weightshas scoreslast 18 monthsCatBoostYandex, tabularReleasedFeb 2026open weightshas scoreslast 18 monthsAutoGluon 1.5Amazon, tabularReleased2026open weightshas scoreslast 18 monthsShowing 10 of 100. All models of this class
Where this comes from
Derived, not researched: models in the directory whose class matches a class this use case uses, excluding family records and models shut down or deprecated. Ranked by how many fit facts they meet, then by release date. Each fit fact is read from the model record.
Links
Modelsnone recorded
Who Runs Itnone recorded
Sources
- deloitte.com/content/dam/assets-zone3/us/en/docs/services/... https://www.deloitte.com/content/dam/assets-zone3/us/en/docs/services/consulting/2026/ai-use-cases-consumer-2026.pdf
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Dynamic Pricing and Markdown Optimisation", https://aurion.semai.id/usecases/ret-dynamic-pricing-markdown/, records of October 2026.