ecommerce_ops · ecommerce · workflow
Walmart builds Ghotok to improve product categorization using ensemble predictive and generative AI across 400 million SKUs
With over 400 million SKUs on Walmart.com, items were sometimes mistakenly categorized due to the sheer number of categories and product types, causing less relevant items to appear in customer searches.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Fetch items by category
Items are fetched based on the category they fall into.
Tools used
Ghotok
Outcome
The ensemble of predictive and generative AI models showed the best performance on a validation set and successfully lowered the False Positive Rate to a satisfactory level, with an exception handling tool resolving remaining edge cases in production.
Results
Volumelowered the False Positive Rate (FPR) to a satisfactory level
Grounding & classification
Source type: technical build writeup
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document classificationpredictive analyticsproduct catalognamed customerproduction runtime claimedtools describedecommerceretailaccuracy improvementerror reductiontechnical build writeupecommerce opsextract classify route