Savvy e-commerce product recommendations based on customer data automatically adjust to capture trends and know what the correct items is right now.
Maximize the value of each shopper by delivering relevant cross-sell and upsell opportunities at every turn for bigger baskets and a better bottom line.
Tailored e-commerce recommendations learn from an individual’s real-time buying behavior. The result? Products that are a perfect fit and customers who shop for more.
With SLI Learning Recommendations, it is seriously drag and drop. It was by far the most user friendly for us on a daily basis in order to use our time more efficiently.
Kristen King, Online Merchandiser and Sales Manager, Allens Boots
Our tailored e-commerce recommendations target your buyers and personalizes the buying experience based on where they are in their shopping journey.
Our API allows you to add e-commerce product recommendations to emails, shipping receipts and basically anything connected to the Internet.
A few lines of code on your page is all it takes to get Learning Recommendations™ engine working for you.
Dynamic E-commerce Product Recommendation Banners optimizes the experience of shoppers arriving from Search Engines and entices them to stay on your site.
Founded in 1790, King Arthur Flour is the oldest flour company in America. Its rich history was built on a passion for baking, and its products range from premium flour and mixes to kitchen tools and cookbooks. King Arthur flour uses SLI Learning Search™ to make sure visitors find everything they are looking for, including recipes, tips, videos, and products.
In this recommendations engine webinar, we’ll share the latest in recommendations and merchandising technology that leading online retailers are using to help buyers to click “Add to Cart” fast… and frequently.
