The market for aquaculture products is internationalized, resulting in an increasing number of mislabelled products. This highlights the need to look for ways to identify the provenance of these products effectively. This situation requires the identification of ways to determine the provenance of these products effectively. Among such approaches, MEA and SIRA are promising tools for identifying the traceability of aquaculture products. This chapter reviews the use of various analytical methods/techniques to quantify the origin of aquaculture products. The other aim of this review is to understand the interpretation of analytical data for the authentication of aquaculture products. Therefore, computational methods, especially multivariate techniques, are necessary and powerful tools for such reliable assessments. The possibility of verifying the geographical and/or productive origin of a seafood is an important issue when the application of chemometric techniques is highly recommended to achieve reliable traceability by means of multivariate classification. With this approach, it is possible to characterize seafood in terms of geographical origin, interspecies differentiation, seasonal variation and other factors. Moreover, analytical and multivariate techniques have been shown to be effective in distinguishing between unprocessed and technologically processed seafood.