Relying on pre-packaged solutions makes it nearly impossible to create a differentiated customer experience or gain a competitive advantage, and building a recommendation engine from scratch can be difficult. There is now a different approach: retailers can use an API-driven machine intelligence approach to create recommendations that are simple to integrate and use.
The Machine Learning Approach
Any company’s existing software stack and systems can be upgraded to take advantage of the features here, which far outperform standard packaged solutions. Brands can automatically provide personalized recommendations to online shoppers using Machine Learning models.
The average order value will rise and conversion rates will rise as a result of this. In a matter of milliseconds, the machine learning approach displays the most relevant offers, recommendations, or recommendations for a customer.
Positive Use Cases
As a provider of vegan-themed subscription boxes, The Vegan Kind is all about assisting customers in making the best decisions by providing them with excellent alternatives and recommendations as they browse. The Vegan Kind was able to display recommended products that were associated with the items that were visualized after implementing an API-first recommendations solution. This ultimately led to an increase in the probability of shopping cart expansion.
It is also easy to integrate and very flexible thanks to front-end frameworks, advanced documentation, and an API-first strategy. HiCart was able to incorporate recommendations into its online experience and begin production in just four days with as little as six lines of code. Now, additional choices are presented to shoppers when they search for a particular item.
Today, numerous businesses are attempting to replicate the in-person shopping experience online. Similar to a salesperson suggesting a different product to accompany a product a customer is considering purchasing, product recommendations are similar. Retailers can enhance their customers’ online experiences by enabling smarter searches with machine intelligence based on APIs.
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