As furniture shoppers face a growing number of online purchase options, retailers must stand out from the crowd. One way to turn curious browsers into buyers is with personalized recommendations that simplify decision-making.
Below, we’ll discuss the importance of personalized product recommendations, the benefits of leveraging AI to improve product recommendations, and how Blueport’s platform can enhance the shopping experience for shoppers and your sales associates.
Implementing tailored product recommendations on your furniture retail website creates a personalized experience for shoppers at every touchpoint.
Product recommendation algorithms include:
Static Product Recommendations: Static product recommendations refer to a set of products you can curate and display to the user regardless of browsing behavior.
These recommendations are typically based on predetermined criteria, such as manually curated products. Merchant-driven recommendations can help your business showcase specific sets of items your customers may not necessarily otherwise see or for which you want to drive additional visibility.
AI-driven Product Recommendations: AI-driven product recommendations are dynamic and utilize shopping behavior and item attributes to provide additional relevant products.
For example, recommendation algorithms such as “more like this,” “popular items,” or “complete the look” leverage machine learning to consider user interaction and product attributes to best select which products should be recommended to the shopper. An additional benefit to AI-drive product recommendations is that it is continually learning and adapting as more and more users shop and purchase from your site.
Product recommendations are particularly valuable for furniture shopping, where shoppers often have strong preferences for how an item looks or functions, but may not know exactly what they are looking for or how to search for it.
Furniture retailers can also benefit from AI product recommendations by helping guide customers toward products that are most likely to resonate with them according to style, budget, or product attributes. Further, recommendations can increase your average order size by suggesting add-ons or complementary items.
AI product recommendations offer furniture retailers a powerful tool to enhance the online shopping experience and drive sales.
Blueport leverages leading search provider Netcore UNBXD to give you the tools you need to personalize the shopping experience for each customer every time they visit your website. In fact, UNBXD has proven instrumental in helping retailers boost revenue by 40% and increase conversion rates by 25%.
By harnessing advanced machine learning algorithms, UNBXD analyzes real-time data from various sources, including customer behavior, browsing history, purchase patterns, and product attributes, to deliver the most relevant and streamlined catalog discovery and navigation experience.
When it comes to product search, the combined power of Blueport and UNBXD ensures seamless interpretation of complex search queries, aiding shoppers in finding precisely what they're looking for. With each user search query, the system refines its results, ensuring shoppers consistently discover products that meet their needs.
Additionally, Blueport’s AI tools will soon include automated customer support responses via generative AI and machine learning. This will free up your time handling customer support tickets and boost customers' shopping experience by guiding them to the most relevant products.
In today’s furniture retail landscape, you need every advantage to thrive in your market and expand your operations. Leveraging furniture ecommerce AI features and several other features of Blueport’s ecommerce product recommendation engine can boost your operational efficiency while setting you up for success in today’s market and tomorrow’s.
Learn more about the different furniture retail-specific features of Blueport and why many furniture retailers — including those in the top 100 — trust our platform.