Assumptions made for lack of information

    AI classification

    1

    What it is

    When a piece of information is missing and a CrossbordIA-validated rule allows a conclusion without asking you, the product's detailed sheet shows it in the “Assumptions made for lack of information” box, under “Rule applied”. One line per assumption: each one is about a single fact.

    • Particular feature not stated (handmade, denim, velvet, sports or professional use…): the “other” line is used
    • T-shirt or shirt with no pockets below the waist or tightened bottom described
    • Item declared plain: treated as not printed using the batik process
    • Unisex item: classified as women's clothing (note 9 to chapters 61 and 62)
    2

    “That's not the case”

    If an assumption is wrong, click “That's not the case” on its line. The confirmation window shows the information you are giving (for example “My item is “denim fabric””), the nomenclature line targeted with its code and official label, and the number of identical items concerned. “Classify again” saves the information as declared data of the item, then classification resumes at that rank: it concludes or asks you the next question.

    3

    Identical items and rule

    The correction also applies to identical items (same declared data, same destination) that carry the same assumption. The “Make my answer a rule for this type of product” tickbox (particular features only) creates a rule for the same object, the same heading and the same destination, which you can change in Rules.

    4

    Cost, undo, special cases

    No credit is used. The correction appears in the decision history and can be undone like an answer. If the code was confirmed by one of your answers, an extra confirmation is requested. An assumption that no longer applies (the classification has changed since) is greyed out.

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