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Abstract

Wine characteristic data is related to consumer liking data to provide a predictive model that may be used in wine portfolio management, including selection, shelf placement, pricing, and promotion. The wine characteristic data may relate to wine attributes as determined by a trained panel of experts or by chemical analysis, or to production or process data or to a combination of these data. The consumer liking data may be hedonic data obtained from consumer tasting. The predictive model may be a determined statistical relationship between the characteristic data and the hedonic data. In application, the predictive model may be used to identify what wines will appeal to various consumer segments. Alternatively, the predictive model may be used to identify for particular consumer segments or even individual consumers wines that may be liked.

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First Claim