From Mystery Returns to a Real Prediction Target
Convert a vague ML request into a supervised target while preserving unsupervised analysis for exploration.
Same returns project, one week apart. What changed? marketplace operations room with a category manager facing scattered return items, printed product photos, and open boxes on a table, uncertain body language, clean office with open wall space for overlay, no text, words, letters, numerals, logos. Before: Leo has scattered return items, product photos, and complaint snippets, but the team has not defined whether it wants pattern discovery or a prediction target. Before: a pile of cases and a vague request https://oylytksvdaqzqcpcfhxp.supabase.co/storage/v1/object/public/omie-images/nugget-scenes/3c86b0f4-3ce6-46bc-9b62-74d032b9f97f-4.png marketplace operations room reorganized into a return-intake review station with neatly arranged product photos, condition bins, analyst at laptop,…
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