How a Fashion App Can Transform the Fashion Industry


Fashion apps have seen an incredible surge in popularity over recent years. From gathering fashion inspiration to connecting with industry influencers, these apps put fashion right at your fingertips.

WGSN’s trend forecasting app tracks consumer behavior to predict what the next major fashion trends will be, providing fashion designers with endless inspiration. Its visual library also serves as an invaluable source of ideas.

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Consumer-to-consumer (C2C) business models allow individuals to trade goods and services directly between themselves without going through a company, thus saving both money and fees. This trend has gained prominence among those seeking ways to save money and bypass fees. C2C e-commerce platforms often offer an assortment of goods and services for sale to consumers directly, from secondhand clothing to rare collectibles. Some websites also provide money transfer services which help users monitor spending habits while tracking earnings. C2C businesses may conduct verification of sellers and offer money-back guarantees to build customer confidence in their products. Different industries use different forms of consumer-to-consumer platforms; fashion platforms may attract young consumers looking for secondhand materials that fit with their unique styles.


PIM facilitates data consumers’ experiences while making more informed purchases; increasing customer satisfaction and brand loyalty and ultimately driving sales.

eCommerce businesses with extensive product information to manage require an effective PIM platform, such as Excel sheets. Traditional methods like these can lead to errors and cannot keep pace with business growth; with PIM platforms eliminating data silos and automating processes; providing more efficient workflow; as well as freeing team members up for strategic tasks.

Clothing brands can utilize PIM systems to keep all their product information organized and current in one central place, speeding product launch preparations and development times while decreasing rework, providing more accurate product data across channels and enabling teams to customize product catalogs based on each channel’s specific requirements as well as supporting localization for multilingual audiences.

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