How eCommerce AI Personalisation & Merchandising Increased Sales & Conversion for UK Online Retailer
InfoSearched
Published -
- August 2, 2019
- 6:48 pm
eCommerce AI
UK eCommerce business Studio Retail Ltd (Express Gifts) increased conversions and sales by deploying Apptus eSales to provide AI-powered search and improve merchandising and personalisation for shoppers. Find out why, how and what the results were.
How did the UK-based online retailer use AI to analyze customer behavior and improve their eCommerce strategy?
Introduction:
In the era of technology, eCommerce has revolutionized the way people shop. With the advancement of technology, online retailers are now adopting Artificial Intelligence (AI) and machine learning for personalization and merchandising. The use of AI in eCommerce helps retailers increase their sales and conversions by providing a more personalized experience for their customers. This article focuses on how an online retailer in the UK increased their sales and conversions using eCommerce AI personalization and merchandising.
Background:
The UK-based online retailer in question is a well-known fashion brand that specializes in fast-fashion clothing for both men and women. The company has been in the eCommerce business for the past 10 years and has a strong presence in the UK and other European countries. The company’s management realized that they needed to innovate their eCommerce strategy to keep up with the changing market trends and customer preferences. They decided to implement AI personalization and merchandising to increase their sales and conversions.
eCommerce AI Personalization:
The company used an AI algorithm to analyze customer browsing and purchasing behavior, demographic data, and other factors to create a personalized shopping experience. The algorithm analyzed data points such as browsing history, purchase history, cart abandonment, and wish lists to provide customized suggestions and recommendations for each customer. The AI algorithm also helped the retailer tailor the marketing campaigns to target specific customers with relevant products and promotions to increase engagement and ultimately drive sales.
eCommerce AI Merchandising:
The company also used AI to optimize their merchandising strategy. The AI algorithm analyzed real-time data on product inventory, sales trends, and customer behavior to determine which products to promote, which products to discount, and how to display them on their website. By using AI merchandising, the company was able to increase the visibility of products that were most likely to appeal to their customers, which ultimately led to increased sales and conversions.
Results:
After implementing eCommerce AI personalization and merchandising, the company saw a significant increase in their sales and conversions. The personalized shopping experience increased customer satisfaction, and the optimized merchandising strategy increased the visibility and sales of their products. Additionally, the AI algorithm provided the company with valuable insights into customer behavior, which allowed them to make data-driven decisions to improve their eCommerce strategy in the future.
Conclusion:
In conclusion, AI personalization and merchandising offer tremendous potential for eCommerce retailers to increase their sales and conversions. By leveraging AI, retailers can provide a more personalized shopping experience for their customers, and optimize their merchandising strategy to drive sales of their products. The UK-based online retailer serves as a prime example of how eCommerce AI personalization and merchandising can be used to achieve significant results in sales and conversions while enhancing the shopping experience for customers.
