The fashion industry in Italy is the emblem of style and elegance in the world and moves a significant turnover.
The Fashion industry constantly generates information on products: how they are sold, which pieces and colors have the most appeal, which are the main markets, how the customer in the various markets relates to the products on sale, which are the top of the range , what are the close relationships between products, how customers buy…
Today, a large amount of data (volume) is being generated by both businesses and consumers, more sources and types (varieties) of data are available, as well as the speed with which this data enters companies' information systems has increased . The opportunity to have this amount of information available is the driver for building better knowledge of the customer and improving the speed with which the business can act and influence the customer and the market.
The importance of entering this new dimension has increased since the traditional competitive levers: price, promotions, location and assortment are becoming commodities.
Being able to extract from this mass of data as much information as possible about your customers, your market, the products themselves, is of fundamental importance for both brands and retailers to guide future decisions in the most efficient and effective way, maximizing results and reducing the costs of the various marketing strategies and commercial actions.
Today the new analytic software makes it possible to anticipate the behavior of the buyer and are able to define merchandising strategies consistent with the identified segment and, consequently, calibrate the relative assortment planning of the single boutique on the profiles that access it. SPS allows brands and retailers to have a global view of sales, prices and the market. Buyers and merchandisers use this information to fill gaps in the product assortment. Designers, on the other hand, to identify trends in the inception and development phases of the product.
Basing decisions on tangible facts, purchases can be made based on the trends sought by consumers, reducing all that part of unsold stock.