Fashion Colour Predictions by Social Media

Incorrect estimation of consumer trend may result in wrong order volume and overstocking of clothes and thus affecting warehouse inventory, overproduction, or capital turnover. Social media, an important tool to influence consumer behaviour, contains numerous useful data that helps decision-making in the industry to systematically monitor and forecast the shoppers’ colour preference in fashion items.  

• Development of a mathematic model, to predict garment sales volume precisely and then place production order quantity accordingly in different colours, and reduce the over-stock percentage. 
• Investigation on the impact of social media data on colour fashion preferences would be conducted. Data would be collected from social media focusing on Hong Kong and Mainland China users
• Validation of the model would be conducted using real-time social media data and frontline sales data (i.e. sale volume, stock volume, and price etc.) from at least one apparel company on a rolling base in the project period

• Facilitating company to estimate manufacture order volume 
• Potentially generating fashion trend predictions in terms of colour range, style, and fitting
• Encouraging new product and business possibilities in both brick-and-mortar and online retail

• A special prize from National Research Council of Thailand in the 46th International Exhibition of Inventions of Geneva (2018)
• Gold Medal in the 46th International Exhibition of Inventions of Geneva (2018)

• Fabric production management
• Garment merchandising

• 201810277449.0