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Improving Online Furniture Shopping Experience with Kea Labs Smart Search

Case-studies
The furniture industry is a highly competitive market, and retailers need to constantly innovate to stand out from the crowd. One of the key challenges for furniture retailers is to provide a seamless and efficient search experience for their customers. This is especially important for retailers that have multiple suppliers and produce their own furniture, as they need a search solution that can properly prioritize and place available products on top of unavailable ones.

This case study showcases how Kea Labs Smart Search helped a furniture store to overcome these challenges and improve the overall online shopping experience for their customers.

Challenges:

The furniture store in question had several challenges that they needed to address in order to improve the search experience for their customers. These challenges included:

  • Multiple suppliers: As the store sourced furniture from various suppliers, it was difficult to properly prioritize and place available products on top of unavailable ones.
  • Limited availability information: The store had several warehouses, showrooms and offline stores, but was not able to properly show the current availability of the products in their online store.
  • Long delivery times: As furniture is a bulky and expensive item, customers often base their purchasing decisions on the expected delivery time. However, the store was not able to provide accurate delivery times for their products.

Solution:

To address these challenges, the furniture store turned to Kea Labs Smart Search. Kea Labs Smart Search is a powerful AI-powered search solution that can handle multiple suppliers and product attributes with ease. The solution was able to seamlessly integrate with the store's search UI and handle search by various attributes, including technical ones like vendor codes and SKUs.

One of the key features of Kea Labs Smart Search is the ability to load availability information directly from the store's inventory management system. This allowed the store to properly prioritize and place available products on top of unavailable ones. Additionally, the solution also provided accurate delivery times for the products, which was a key decision-making factor for customers.

Impact:

The implementation of Kea Labs Smart Search had a significant impact on the store's business. The solution was able to improve the overall online shopping experience for customers, resulting in an increase in sales and customer satisfaction.

Some specific metrics to highlight include:

  • 20% increase in conversion rates: As customers were able to find the products they were looking for more easily, there was a 20% increase in conversion rates.
  • 25% reduction in bounce rates: The improved search experience also led to a 25% reduction in bounce rates, as customers were more likely to stay on the website and continue browsing.
  • 10% increase in average order value: The accurate delivery times provided by Kea Labs Smart Search also led to a 10% increase in average order value, as customers were more likely to purchase larger and more expensive items.

Conclusion:

Kea Labs Smart Search is a powerful AI-powered search solution that can help furniture retailers to improve the online shopping experience for their customers. By addressing key challenges like multiple suppliers, limited availability information and long delivery times, the solution can lead to significant business impact, including increased sales, customer satisfaction and average order value.
Furniture store's online search interface after using Kea Labs Smart Search - improved search experience with accurate availability information and delivery times
Furniture store's online search interface after using Kea Labs Smart Search - improved search experience with accurate availability information and delivery times