In this blog series we will provide use cases where AI can improve your bottom line significantly. One of the major issue faced by online retailers is abandoned shopping cart due to various reasons. One of the important reason is, the item is not exactly what the customer is looking for. How do you overcome this?
Reduce abandoned shopping cart
A key issue faced by Ecommerce retailers is abandonment of shopping cart because of wrong or irrelevant products displayed to the customers.
For e.g. if a customer from Arizona searches for body lotion, AI can provide better contextual results based on location, current weather, season, past purchase history if available, and may recommend a product that would be better for Arizona. By providing relevant search results, the customer is more likely to checkout the shopping cart.
Another trend that is taking shape in search engine is Natural Language search capability of Artificial Intelligence. This processing helps to narrow, contextualize and ultimately improve search results for online shoppers.
Another technique gaining popularity is Visual Similarity. As well as finding matching products, AI is enabling shoppers to discover complementary products whether it is size, color, shape, fabric or even brand. The visual capabilities are so good that, for example, if you have a clothing store, your potential customer may upload a picture of the dress a celebrity wore, and AI can help your customer locate a similar one in your catalog. Visual search engine can be integrated into your online store, thus improving your bottom line and to provide a better customer satisfaction.
There are lot more capabilities that are available to help in ecommerce, manufacturing, supply chain and other areas. Reach out to us to know more.