In today's digital age, where customer experience is of utmost importance and the average customer is quick to bounce, ecommerce stores need to provide an easy and seamless shopping experience. One critical element of this is your website's search function. Traditional keyword-based search is no longer enough to satisfy customers.
This is where Natural Language Processing (NLP) site search comes into play. NLP site search helps ecommerce stores to provide a more human-like search experience by enabling customers to search in natural language, just as they would in a conversation.
In this blog, we will discuss why your store needs an NLP-based site search and the benefits it provides to the business and customers.
Natural language search - Making search more human
Natural Language Processing (NLP) site search is a powerful technology that uses natural language understanding to enable customers to search for products and content on ecommerce stores in the same way they would in a natural conversation.
It works by breaking down a customer's query into various components like keywords, syntax, grammar, and context, and then interpreting it to understand the customer's intent.
NLP site search uses machine learning algorithms, including deep learning and neural networks, to understand natural language and generate accurate results. These algorithms are trained using large volumes of data and are constantly improving with every interaction. They enable NLP site search to identify patterns in language and predict the intent of customers based on their queries.
How NLP search is taking over the ecommerce landscape
NLP site search has become an integral part of ecommerce stores. Here are some of the prominent applications and use cases of NLP site search in ecommerce:
Chatbots are virtual assistants that interact with customers in real-time. NLP site search powers chatbots to understand customer queries and provide relevant responses. This helps customers find what they are looking for quickly and easily.
Chatbots are virtual assistants that use NLP site search technology to understand customer queries and provide automated responses. They’ve become increasingly popular in ecommerce stores as they enable customers to get quick and accurate answers to their questions. According to research by Gartner, by 2022, 70% of all customer interactions will involve chatbots.
For example, Sephora, the cosmetics retailer, uses chatbots to provide customers with the right products, makeup tips, and even tutorials. The retailer managed to increase its number of orders by 11% after implementing chatbots.
To make the most of the growing usage and relevance of voice search, ecommerce businesses should optimize their websites and product listings for voice search queries. This includes using natural language in product descriptions and titles, incorporating long-tail keywords, and ensuring that their website is mobile-friendly and easily accessible through voice search-enabled devices.
For example, Walmart has integrated voice search into its mobile app, enabling customers to search for products using voice commands. This makes it easier for customers to find what they are looking for, leading to increased sales and customer satisfaction.
User intent analysis:
NLP site search enables ecommerce stores to understand customer intent and provide more personalized experiences. By analyzing customer queries and behavior, ecommerce stores can identify patterns and trends and optimize their product offerings and promotions.
For example, Amazon uses NLP site search to analyze customer queries and behavior to provide personalized product recommendations. By understanding the intent behind a customer's query, Amazon can recommend relevant products and increase the likelihood of a purchase.
Intelligent product and content recommendations:
NLP site search can also be used to provide intelligent product recommendations and content recommendations to customers. By analyzing customer queries and behavior, ecommerce stores can recommend products and content that are relevant and personalized to each customer.
For example, Netflix uses NLP site search to analyze customer behavior and provide personalized movie and TV show recommendations. By understanding each customer's viewing history and preferences, Netflix can recommend content that is more likely to be watched, leading to increased customer satisfaction and retention.
Conclusion - Knowing when to level up to natural language search for ecommerce success
NLP site search is no longer a luxury, but a necessity for ecommerce stores. If you want to provide a seamless shopping experience to your customers, you need to invest in NLP site search. It provides a more human-like search experience, helps understand customer intent, and delivers personalized recommendations.
Whether you're a small business owner or a large enterprise, Zevi’s AI-based search engine can help you provide your customers with a more intuitive and human-like search experience.
To see how Zevi can help you transform your search experience, sign up for a free demo today!