Introduction:
An online furniture store faced a significant challenge in handling its large inventory of products, with over 250,000 variants. The store's traditional search function was slow and often returned irrelevant results, making it difficult for users to find the specific product they were looking for among the tens of variations available in different sizes, colors, and materials. To address this issue, Kea Labs implemented its AI Smart Search service in the store, which improved the customer experience and increased conversions.The store required minimal effort from their team to implement the solution.
Problem:
Before implementing Kea Labs' search tool, customers had difficulty navigating the store's vast inventory and often left the website without finding the product they were looking for.
Solution:
Kea Labs Smart Search tool solved this problem by detecting and correctly grouping product variants, and providing easy-to-use filters. This allowed customers to quickly find the product they were looking for and choose the desired variant.
Unique Feature:
One of the standout features of Kea Labs Smart Search is its ability to automatically analyze colors from product photos. This feature made it easy for customers to find products of a specific color, which was a significant pain point for the store's customers.
Kea Labs Smart Search makes suggestions, which 60% of customers used to specify the products they were looking for. As a result, the store's bounce rate decreased, and customers were able to find products more quickly. It’s especially beneficial on mobile devices, as customers can use search even without typing any words.
Impact on Business:
The implementation of Kea Labs' search tool had a significant impact on the store's bottom line. Search abandonment rate decreased 3 times. Conversion rates increased by 35% among the segment of customers who used search. The average order value (AOV) also increased by 10%. Additionally, the average time customers spent on the website decreased by 15%, indicating that customers were able to find what they were looking for faster.
Conclusion:
Overall, Kea Labs Smart Search was a game-changer for the online furniture store. It improved the customer experience and increased conversions, resulting in a significant boost to the store's bottom line. The search tool finds the right products for users, which results in significantly better metrics like conversation rates.
An online furniture store faced a significant challenge in handling its large inventory of products, with over 250,000 variants. The store's traditional search function was slow and often returned irrelevant results, making it difficult for users to find the specific product they were looking for among the tens of variations available in different sizes, colors, and materials. To address this issue, Kea Labs implemented its AI Smart Search service in the store, which improved the customer experience and increased conversions.The store required minimal effort from their team to implement the solution.
Problem:
Before implementing Kea Labs' search tool, customers had difficulty navigating the store's vast inventory and often left the website without finding the product they were looking for.
Solution:
Kea Labs Smart Search tool solved this problem by detecting and correctly grouping product variants, and providing easy-to-use filters. This allowed customers to quickly find the product they were looking for and choose the desired variant.
Unique Feature:
One of the standout features of Kea Labs Smart Search is its ability to automatically analyze colors from product photos. This feature made it easy for customers to find products of a specific color, which was a significant pain point for the store's customers.
Kea Labs Smart Search makes suggestions, which 60% of customers used to specify the products they were looking for. As a result, the store's bounce rate decreased, and customers were able to find products more quickly. It’s especially beneficial on mobile devices, as customers can use search even without typing any words.
Impact on Business:
The implementation of Kea Labs' search tool had a significant impact on the store's bottom line. Search abandonment rate decreased 3 times. Conversion rates increased by 35% among the segment of customers who used search. The average order value (AOV) also increased by 10%. Additionally, the average time customers spent on the website decreased by 15%, indicating that customers were able to find what they were looking for faster.
Conclusion:
Overall, Kea Labs Smart Search was a game-changer for the online furniture store. It improved the customer experience and increased conversions, resulting in a significant boost to the store's bottom line. The search tool finds the right products for users, which results in significantly better metrics like conversation rates.
