It is a known fact that customers are more likely to switch brands because of poor experiences. For the brands to success, it is important to deliver exceptional and personalized experiences to the customers.

Also, it is critical to collect data at every point of the customer journey – data is available through customers’ mobile app usage, digital activities, movements on social media and more. Every company Companies must take advantage of this to deliver the experiences customers are looking for.

The fashion industry is growing at a fast pace all over the world. Obviously, wherever the people are, there will be a fashion for sure. The most important aspect for a company is to solve current problems in the industry by using proper data analytics techniques. Following are the Notable Benefits of using Big Data or Business Analytics Approaches in the Fashion Industry;

1) A retail store can order a small quantity other than bulk. Then they study about their sales behavior like which color, the design is in trends and attracting their target customers. So further, they can order only specific types of merchandise other than the complete lot.

2) One can ask their designers to focus on a particular pattern or so and also manufacture such fashion with some unique creations. Thus, it can add to the taste of their demands and hence increase their sales.

3) Data analytics can also help fashion retailers to meet up with the current competition. Hence they can maintain a good standard of price and quality with the latest trends.

4) A retailer can use Analytics insights into Big Data. It is to know at what time and the rate of discounts to be offered to pull all the customers.

Today trend prediction is like a golden opportunity for any fashion retailer to win the market. To fight well with the growing competition, we can help fashion retailers to make the best use of their presence publically. E.g., apps, social media, websites, and more to attract their customers, track their behavior and predict what they will request in the future.

It is possible due to cognitive and machine learning computing that has an artificial thought process. The analytics tools can use the available data to predict something valuable like a human or at least give information to trade experts.

We, at NextBee, encourage our clients to maintain a website that can log each of its user’s activities. So by using the proper analytics on this log data, we can help them to get many ideas about the behavior of the website visitors.

Our professionals can give valuable tips to our clients who deal in the fashion industry. It includes sharing the designs in public so that it can help them in getting insights for future decisions. The same approach can help one to get reviews of targeted buyers, fashion experts, and more. It is useful to apply any change further.

Fashion brands can better market their products. It can be done if they have an idea about which of their items are gaining massive attention from fashion enthusiasts and consumers. It can help the fashion industry to not only provide what is required to their customers but also what they will like for sure in the coming future.

Hence, our predictive data analytics is for all types of customers. We can help them to turn offer based demand to demand-based offer models for the fashion industry. It can help retailers to cut down their initial investment. 

To discuss more on this topic, feel free to get in touch with NextBee.