It’s possible to determine which kind of items are among. The most sold and what segment of the audience is buying it more. Thus, companies can detect opportunities that might have been overlooked before. For instance, big data can reveal that men of a certain. Age are more interested in scarves of a certain color and size. While women of the same age aren’t interested in them at all.
This informs the manufacturing and marketing
Efforts and directions them in a more country wise email marketing list precise direction. Predicting trends: customers’ interests and desires change rapidly in today’s world. And more so in the fashion industry. Big data science allows for a precise prediction of new trends, leaving the days of guessing or betting behind. By gathering data from social media (especially more visually-laden platforms.
Like Instagram and Pinterest)
Companies can identify emerging a tech bet on new materials and clothes patterns in clothing and accessories and anticipate the moment when they reach critical mass. Thus, data analysis allows brands to become trendsetters by putting them in the right place at the right time. Setting prices: we’ve talked about this above but it bears repeating. The process to define the price of a specific item can be very complex, but thanks to big data analysis, it’s more streamlined than ever.
Big data can pull up information
On previous similar items, compare canada cell numbers their performance via their prices and simulate different prices to finally settle on an average one that will attract more buyers. All of that is done in a fraction of time, thanks to the use of artificial intelligence, that can process vast amounts of data in a short period of time. Additionally, when coupled with machine learning, the results can get more accurate over time, as algorithms “learn” from their past estimations.
