The power of data in the fashion sector. Agile and connected tools that allow you to identify trends and anticipate them

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In recent years, the Spanish fashion sector has demonstrated an enormous capacity to adapt to a global and highly competitive environment. Companies in the sector have gradually occupied this prominent position thanks to their innovative business models based on fast fashion , their expertise in retail management and their ability to offer a changing product range adapted to consumers .

Although the fashion sector is known for having always been much more closely linked to design and creativity than to technology as such, new technologies have changed the dynamics of purchasing and the nurse database business model of commerce, in an environment of increasing competition. Hence the importance of investing in agile tools that are permanently connected to updated data , which allow the retail sector to identify trends and carry out an analysis of the information immediately, quickly and effectively .

The power of data in the fashion sector
The way in which these companies carry out decision-making in their sales strategies, campaigns, etc., is done through processes in which they visualize the data they store in tools such as ERP , dashboards or data mining systems .

These types of tools provide us with the necessary knowledge to understand the behavior and tastes of the end consumer , as well as the planning of daily matters such as the optimal quantity of items ordered from suppliers, surpluses, customer service or management of shipments and returns, in order to meet demands in optimal conditions and prevent customers from leaving for the competition.

Microsoft Power BI for the fashion sector
The ability to prepare reports and make decisions based on data in real time makes Microsoft Power BI a very valuable tool for the fashion sector, as they can also be accessed at any time and on any device.

With Microsoft Dynamics Power BI for the fashion industry, you can:

Anticipate future trends in consumption and sales forecasting

Analysis of your customer typology (segmentation, acquisition, retention and loyalty)

Carry out the provisioning based on historical data, for better management of stock and inventory in real time

Monitoring of waiting times and occupancy and traffic zones in the establishment, such as 'Heat Maps'.

Analysis of the effectiveness of marketing campaigns, prices and promotions and their communication media (brochures, coupons, etc.)

The fashion industry is modern and changing, hence the importance of highly agile tools that are permanently connected to updated data, which allow the retail sector to identify trends and perform an analysis of the information immediately, quickly and effectively .