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The Italian National Institute of Statistics (ISTAT) is carrying out a redesign of Consumer Price Survey (CPS). The availability of Scanner Data (SD) from retail modern distribution, provided to ISTAT by Nielsen for a large number of stores selling food and grocery, is the starting point of this transformation. Indeed, SD represents a big opportunity for introducing improvements in the computation of Consumer Price Index (CPI). This work aims to study the properties of alternative aggregation formulas of the elementary price index in different sampling schemes implemented on SD. Bias and efficiency of the estimated indices are evaluated in a Monte Carlo simulation context. Finally, a comparison between a fixed and a dynamic approach in the compilation of the elementary price indices was performed.