Searchspring’s relevancy algorithms have been designed with these types of retailer needs in mind, making it the perfect fit for 360Cashmere.
The search algorithms have been designed to ensure that relevant products are delivered in these scenarios. First, the product awareness machine-learning algorithm examines existing product data to gain a deep understanding of a what a product is. This allows it to return appropriate product results rather than a simple list of products that use keywords from the shopper’s query.
Second, the IntelliSuggest® Engine leverages real user behavioral data to further refine and rank product results. Products with higher conversion rates, for example, are more likely to resonate with shoppers, and will thus rank higher than products with low conversion rates.
In the case of 360Cashmere, search results improved dramatically across a range of search types. With the addition of the IntelliSuggest behavioral understanding engine, even the typical one or two word searches improved dramatically since the highest-converting products automatically ranked higher.
Year-over-year 360Cashmere’s business has grown by about 50%. Maintaining a reliable and speedy shopping experience is crucial, especially during the high-volumes that can result from sales or holidays such as Cyber Monday.
Searchspring has invested heavily in an infrastructure that meets the needs of high-volume retailers like 360Cashmere, and has been able to maintain the speed of search results while increasing relevancy dramatically.