Scanner data represent a crucial innovative “big data†source to estimate inflation. They provide several advantages deriving from the availability of detailed information concerning sales and quantity at weekly frequency, GTIN by GTIN, outlet by outlet distributed throughout the entire national territory. The paper briefly makes the point about the state of play of the use of scanner data (introduced for grocery products in Italian CPI/HICP in 2018) and evaluates the benefits in terms of accuracy of inflation estimation coming from the improvement of the coverage in territorial terms. The data coming from a sample of more than 1,700 hyper and supermarkets, for years 2017 and 2018, have been processed in order to calculate price indices differentiated according to outlet location (inside and outside municipal borders of the provincial chief towns) and price indices for the 80 provincial chief towns previously involved, to be compared with the indices calculated for the entire Italian territory. The results are analyzed at national and macro-regional level, providing evidences and measures of the improvements obtained in terms of accuracy. A sketch of the further perspectives of the Italian scanner data project (brought forward by Istat) are finally presented.