Using Big Data & Customer Profiling in the Fashion Industry

Analysing Insights

Once data sets have been collected from various steps in the apparel manufacturing process, the data must then be analysed to draw insights. Fashion manufacturers need to understand as much information as they can about current and future trends and understand real-time changes within the market to supply the best possible products and remain competitive. 

ERP software utilises technologies such as AI (Artificial Intelligence) and machine learning to help you make sense of this data and provide a basis for better decision-making and greater accuracy. This enables you to operate with the knowledge you need to meet consumer demands and preferences.

What can apparel manufacturers do with this data?

Segment Customers

Being able to collect and analyse all this data also allows apparel manufacturers to segment their customers based on different criteria including preferences on:   

• Style
• Colours
• Designs
• Fabric and materials

Customer segmentation is a process used by many businesses to divide customers into groups that have common features and helps you to identify your most profitable customers. Using this information, you can tailor your products and marketing efforts to attract those who are more likely to buy. 

Using a matrix which consists of attributes such as size, colour and style can help fashion manufacturers profile customers better. Collecting and using this data to market to your customers increases the likelihood of repeat purchases being made and can even positively affect brand loyalty.

Understanding consumer buying habits means marketers can target customer groups based on personal preferences and demographic analysis. Information derived at point-of-sale can then be fed back for future product development. 

The effects of customer profiling in the fashion industry are plain to see - increased revenue streams and sustainable growth.

Improve Production Efficiency With Big Data Analytics

Each stage in the production cycle offers a data series that, when analysed, can provide insight into problem areas within your supply chain or production line. Data from ERP software can help apparel manufacturers identify issues such as: 

• Bottlenecks within production 
• Supply chain issues
• Quality control issues 
• Machinery maintenance & repairs 
• Skills/resources gaps 

Optimising production can reduce costs and improve the overall efficiency of your business. For example, bottlenecks in the assembly line will subsequently affect every stage following that process - from quality control to packing and delivery. However, if you can identify which machine is being bottlenecked, you can then make the necessary changes to eliminate inefficiencies and avoid costly delays. 

big data in the fashion industry

Understand your customers needs better

We have helped many apparel manufacturers across the UK achieve outstanding levels of visibility using big data and have been able to provide them with insights far beyond their previous reach.

If you would like to learn how Syscom can provide your business with tools such as our apparel manufacturing ERP software to collect and analyse big data to provide key insights into your business, get in touch today. 

We work with apparel manufacturers and provide them with the software and support they need to succeed. For an initial discussion, contact our team at 01384 400 600, email info@syscom.plc.uk or submit a contact form below.