Data Analytics For Africa's Fashion Industry

According to the African Business magazine, “The African fashion industry is estimated to be worth $31bn.” 

Fashion is an integral part of African culture. Dressing up for weddings, naming ceremonies, birthday parties and other events is undisputedly a core aspect of our vibrant culture. Our skilled designers are kept busy in a highly competitive market sewing kaftans, boubous, intricate kente outfits, among others for these important social events.

Business owners in Africa, not only in fashion but across all industries, are constantly looking for ways to improve and grow their business. The value of data in this era goes without saying and although many business owners express interest in leveraging it (data), there is often a lack of clarity on how it is beneficial. 

In this article, I will address how data can help fashion designers improve their business and gain competitive advantage.

What are some data points that fashion designers can track and how do they benefit the business?

1) Customer measurements: By keeping track of customer measurements, a business can identify the typical size profiles within its customer base. For example, are most customers small, medium, or large - and within those categories, what specific measurement ranges are most common? These insights allow the business to make more informed production decisions, such as how many pre-sewn garments to produce in each size. This helps reduce overproduction in less common sizes while ensuring sufficient availability for high-demand sizes, ultimately improving sales and minimising waste.

2) Outfit type preferences: Recording which outfit types customers request most frequently or which pre-sewn styles sell the most can reveal surprising insights. For instance, you may believe your signature piece is elaborately designed Kaftans, but data might show that customers prefer simpler, clean-lined Kaftans. By understanding what drives the most demand, you can focus your production and merchandising efforts accordingly - producing more of these high-demand styles and prominently displaying them on mannequins or at the storefront to attract attention and increase sales.

3) Fabric preferences: Keeping records of the types and colours of fabrics customers frequently bring - such as Kente, Lace, or Ankara, and colours like wine or green - you can identify patterns in material preferences. These insights can guide you to stock commonly used fabrics in your shop, making the process more convenient for customers who would otherwise need to get materials themselves. This not only improves the customer experience but also creates an additional revenue stream through a small markup on fabric sales.

4) Customer visits

• Date and time of visit: Noting the date and time of each customer visit helps identify peak hours of the day and high-demand seasons. This allows you to ensure staff availability during busy periods, schedule sewing and production during quieter times, and hire additional help during peak seasons. Using this information for resource planning ensures customer demand is met efficiently while maintaining smooth operations.

• Reason for customer visit: Tracking the reason for each customer visit - whether it’s for a fitting or to pick up a completed outfit - can reveal areas for improvement. For example, if data shows that many customers are returning for multiple fittings, it could indicate that outfits are not meeting their expectations. This insight allows you to focus on refining team skills through training and implementing better quality control processes to ensure garments meet customer standards.

5) Customer Complaints: Keeping records of the types of customer complaints can highlight areas that need attention. For instance, if customers frequently raise issues about embroidery quality, finishing, or staff professionalism, you can implement targeted measures to address these concerns. Improving these aspects enhances customer satisfaction, which in turn supports better retention and can help grow your customer base.

6) Customer payments

• Payment methods: Tracking customer payment methods helps you understand how clients prefer to pay - whether with cash, mobile money, or card. By accommodating their preferred payment options, you make the purchase process more convenient. While it may require investing in a POS system or paying mobile money processing fees, the increased customer satisfaction can drive higher sales and ultimately offset these costs.

• Payment Amounts & Dates:  Recording the amount and date of each customer payment helps you track your monthly revenue and identify seasonal fluctuations. This insight allows you to manage cash flow effectively, plan for slower periods, and make informed financial decisions to keep your business running smoothly.

Conclusion

Data Analytics is applicable in most, if not all industries, as long as accurate and meaningful data is captured. 

To all fashion designers and data professionals in Africa, how do you think data can be used to grow fashion businesses and the industry at large? 

If you’re interested in exploring how data can help you make better decisions for your business and improve performance, I would love to connect.