# ML platforms & training data tools used by Commerce & Retail companies usedby lists 16 Commerce & Retail companies using 9 ML platforms & training data tools. The most used is Labelbox: 3 of the 16 Commerce & Retail companies on usedby, every proof level counted. These are counts of the companies usedby tracks, not a market share. Data as of 2026-10-25. ## Largest and best-proven users Two labelled views of the same companies. Neither is a score. ### Largest companies By employee range. Size known for 12 of 16. | Company | Proof | Employees | Tools | Last check | |---|---|---|---|---| | [Procter & Gamble](https://www.usedby.ai/companies/procter-gamble.md) | Confirmed | 10,001+ | Labelbox | 2026-10-25 | | [Walmart](https://www.usedby.ai/companies/walmart.md) | Confirmed | 10,001+ | Labelbox | 2026-10-25 | | [Amazon](https://www.usedby.ai/companies/amazon.md) | Observed | 10,001+ | Hugging Face | 2026-10-24 | ### Strongest proof Confirmed or declared: 5 of 16. This view filters what you read, never what is counted. | Company | Proof | Employees | Tools | Last check | |---|---|---|---|---| | [Procter & Gamble](https://www.usedby.ai/companies/procter-gamble.md) | Confirmed | 10,001+ | Labelbox | 2026-10-25 | | [Walmart](https://www.usedby.ai/companies/walmart.md) | Confirmed | 10,001+ | Labelbox | 2026-10-25 | | [Etsy](https://www.usedby.ai/companies/etsy.md) | Confirmed | 1,001–5,000 | Labelbox, Patronus AI | 2026-10-25 | ## Ranking Tools ranked by the companies of the 16 Commerce & Retail companies on usedby that use them. Each company counts once per tool, at its strongest proof. Ties go to more confirmed, then declared, then observed companies. | # | Tool | Companies | Confirmed | Declared | Observed | Job posts only | Last check | |---|---|---|---|---|---|---|---| | 1 | [Labelbox](https://www.usedby.ai/tools/labelbox.md) | 3 | 2 | 0 | 1 | 0 | 2026-10-25 | | 2 | [Weights & Biases](https://www.usedby.ai/tools/weights-and-biases.md) | 3 | 1 | 0 | 2 | 0 | 2026-10-24 | | 3 | [Dataiku](https://www.usedby.ai/tools/dataiku.md) | 2 | 0 | 0 | 2 | 0 | 2026-10-20 | | 4 | [DataRobot](https://www.usedby.ai/tools/datarobot.md) | 2 | 0 | 0 | 2 | 0 | 2026-10-19 | | 5 | [H2O.ai](https://www.usedby.ai/tools/h2o-ai.md) | 2 | 0 | 0 | 2 | 0 | 2026-10-24 | | 6 | [Hugging Face](https://www.usedby.ai/tools/hugging-face.md) | 2 | 0 | 0 | 2 | 0 | 2026-10-24 | | 7 | [Anyscale](https://www.usedby.ai/tools/anyscale.md) | 1 | 1 | 0 | 0 | 0 | 2026-10-20 | | 8 | [Patronus AI](https://www.usedby.ai/tools/patronus-ai.md) | 1 | 1 | 0 | 0 | 0 | 2026-10-06 | | 9 | [Snorkel AI](https://www.usedby.ai/tools/snorkel-ai.md) | 1 | 0 | 0 | 1 | 0 | 2026-10-19 | ## Customers per tool Every line is a customer, at one of three proof levels: confirmed (a case study, a named quote, a press release, or the company's own public account of using the tool (its own site, or a post by one of its executives, VP or above)), observed (the vendor shows the company on its own pages) or signal (a job post shows the company's employees use the tool, the weakest proof). A line the company declared to usedby itself, or that it lists as a sub-processor on its own legal page, is marked declared. A signal is never a case study or a vendor listing. Strongest proof first. "Last check" is the later of the line's re-verification and its latest capture. | Tool | Company | Proof | Source | Last check | |---|---|---|---|---| | Labelbox | [Procter & Gamble](https://www.usedby.ai/companies/procter-gamble.md) | Confirmed | [labelbox.com](https://labelbox.com/customers/proctor-and-gamble-customer-story/), captured 2026-10-07 | 2026-10-25 | | Labelbox | [Walmart](https://www.usedby.ai/companies/walmart.md) | Confirmed | [labelbox.com](https://labelbox.com/customers/walmart-customer-story/), captured 2026-10-07 | 2026-10-25 | | Labelbox | [Etsy](https://www.usedby.ai/companies/etsy.md) | Observed | [labelbox.com](https://labelbox.com/), captured 2026-10-25 | 2026-10-25 | | Weights & Biases | [Mercari](https://www.usedby.ai/companies/mercari.md) | Confirmed | [wandb.ai](https://wandb.ai/site/customers/mercari/), captured 2026-10-08 | 2026-10-24 | | Weights & Biases | [iRobot](https://www.usedby.ai/companies/irobot.md) | Observed | [wandb.ai](https://wandb.ai/site/customers/), captured 2026-10-24 | 2026-10-24 | | Weights & Biases | [Nanit](https://www.usedby.ai/companies/nanit.md) | Observed | [wandb.ai](https://wandb.ai/site/customers/), captured 2026-10-24 | 2026-10-24 | | Dataiku | [Unilever](https://www.usedby.ai/companies/unilever.md) | Observed | [dataiku.com](https://www.dataiku.com/company/customers), captured 2026-10-20 | 2026-10-20 | | Dataiku | [Perdue Farms](https://www.usedby.ai/companies/perdue-farms.md) | Observed | [dataiku.com](https://www.dataiku.com/company/customers), captured 2026-10-20 | 2026-10-20 | | DataRobot | [IKEA](https://www.usedby.ai/companies/ikea.md) | Observed | [datarobot.com](https://www.datarobot.com/why-datarobot/customers/), captured 2026-10-19 | 2026-10-19 | | DataRobot | [Inchcape](https://www.usedby.ai/companies/inchcape.md) | Observed | [datarobot.com](https://www.datarobot.com/why-datarobot/customers/), captured 2026-10-19 | 2026-10-19 | | H2O.ai | [Macnica Networks](https://www.usedby.ai/companies/macnica-networks.md) | Observed | [h2o.ai](https://h2o.ai/case-studies), captured 2026-10-24 | 2026-10-24 | | H2O.ai | [Macy's](https://www.usedby.ai/companies/macy-s.md) | Observed | [h2o.ai](https://h2o.ai/case-studies), captured 2026-10-24 | 2026-10-24 | | Hugging Face | [Amazon](https://www.usedby.ai/companies/amazon.md) | Observed | [huggingface.co](https://huggingface.co/), captured 2026-10-24 | 2026-10-24 | | Hugging Face | [Shopify](https://www.usedby.ai/companies/shopify.md) | Observed | [huggingface.co](https://huggingface.co/enterprise), captured 2026-10-19 | 2026-10-19 | | Anyscale | [Mirakl](https://www.usedby.ai/companies/mirakl.md) | Confirmed | [anyscale.com](https://www.anyscale.com/resources/case-study/mirakl-ai-infrastructure), captured 2026-10-07 | 2026-10-20 | | Patronus AI | [Etsy](https://www.usedby.ai/companies/etsy.md) | Confirmed | [patronus.ai](https://www.patronus.ai/case-studies/etsy-leveraging-patronus-ais-multimodal-llm-as-a-judge-to-optimize-image-captionin), captured 2026-10-06 | 2026-10-06 | | Snorkel AI | [Wayfair](https://www.usedby.ai/companies/wayfair.md) | Observed | [snorkel.ai](https://snorkel.ai/customer-story/wayfair/), captured 2026-10-19 | 2026-10-19 | ## Method Public customer lines of active ML platforms & training data tools at companies classified in Commerce & Retail. No software vendor had to be left out. Company mix by strongest proof: 5 confirmed, 0 declared, 11 observed and 0 signals. ## Questions ### Which ML platforms & training data tools do Commerce & Retail companies use most? Labelbox leads: 3 of the 16 Commerce & Retail companies on usedby that use ML platforms & training data tools use it. Next: Weights & Biases (3), Dataiku (2), DataRobot (2), and H2O.ai (2). ### How many Commerce & Retail companies use ML platforms & training data tools? 16 Commerce & Retail companies on usedby use at least one of 9 ML platforms & training data tools. It counts the companies usedby tracks. ### What proof backs these lines? Of the 16 companies, each counted at its strongest proof: 5 confirmed, 0 declared, 11 observed and 0 known from a job post. ### How does usedby build this ranking? usedby counts each Commerce & Retail company once per tool, from public proof: case studies, press releases, the company's own site or its declaration to usedby, vendor customer pages and job posts. Every line shows its proof and the date usedby last checked it. Industry page: https://www.usedby.ai/companies/industry/commerce-retail.md · Category page: https://www.usedby.ai/tools/category/ml-ops-training.md --- Source: https://www.usedby.ai/companies/industry/commerce-retail/ml-ops-training · How we check: https://www.usedby.ai/methodology