Are you running a retail business and looking for ways to scale it? Do you seek to improve user experience, and product discoverability, and grow revenue?

You might don’t want to miss to exploit the power of Generative AI in retail.

You will be surprised after you see the level of accuracy and personalization an AI-powered search engine can offer.

Let’s dive in.

But first, what is Generative AI in retail?

Generative AI is artificial intelligence that can understand and generate new content, provide solutions to problems, and base its knowledge on learned patterns.

Specifically in retail, Generative AI can mimic human staff (like a shopping assistant) and provide highly personalized, user-focused solutions.

So, what are the top 5 strategies you can apply to your e-commerce store (especially an e-commerce search) to boost user satisfaction, conversion rates, and business revenue?

#1. Personalize a shopping experience in your e-store

4 out of 5 users are more willing to buy from a brand that personalizes their shopping experience.

Generative AI analyzes your customer data, such as search history, click patterns, and preferences, and delivers highly personalized product recommendations and search results.

Use case:
A customer who frequently buys skincare products can receive personalized product recommendations for promotions in the skincare category.

This way, you ensure they see the most relevant products when they search and expose the user to the best available deals.

#2. Exploit Natural Language Processing to get to the core of user search intent

Does a minor spelling mistake in the search query lead to a zero results page? Can your default in-store search understand vague or highly specific long-tailed search queries?

Don’t lose money in such easily fixed search areas.

Generative AI, powered by Natural Language Processing (NLP) capabilities, can interpret and respond to natural language queries effectively.

Your customers can use everyday language, and full sentences, make spelling mistakes, or type abstract or concrete search queries… and the search engine will understand them.

Use case:
If a customer searches for “best winter shoes for snow and ice,” the NLP can interpret the query and provide relevant product suggestions that tick all the criteria, improving your site’s search experience.

#3. Unlock conversation-like e-commerce search with GenAI Shopping Assistant

You don’t need to hire a human to consult your e-commerce store visitors if you can have GenAI Shopping Assistant.

GenAI Shopping Assistant leverages generative AI to create an interactive, conversation-like search experience, similar to chatting with a sales assistant.

Your customers can ask questions, get product recommendations, and refine their search through dialogue, making the shopping process more engaging and personalized.

Use case:
A customer looking for a new smartphone might type the question-based search query, like: “What are the best smartphones for photography?”.

GenAI Shopping Assistant can then automatically ask follow-up questions about budget, preferred brands, or specific features, guiding the customer to the best options and closing the sale.

#4. Let them search without typing text with Vector Search

Not always do users know how to name a certain object. Or they don’t have time to run an in-depth search, ticking all the filters of a white-dotted mid-length summer women’s dress.

That’s why having a Vector Search on your e-shop helps to process such queries - users can simply upload a screenshot, and the generative AI in retail will do the rest.

Generative AI analyzes the visual features of an image to identify and recommend similar or highly related products.

Use case:
A shopper can upload a photo of a coat they like, and the AI will suggest similar coats available on the website, making it easier (and faster) for customers to find exactly what they are looking for without typing a single word.

#5. Offer always relevant search experience with Dynamic Filters

Lastly, users don’t care about the “ice dispenser” search results filter when searching for newborn clothes. Anything unrelated to their search query distracts users’ attention and prolongs the time it takes for them to purchase products.

Dynamic filters powered by generative AI ensure that search results are always product-relevant and up-to-date.

These filters can adjust in real time based on customer preferences, currently searched products, pricing, and ratings.

Use case:
A shopper shopping on a website with a vast product assortment only receives search query-relevant filters. That means, when a user is looking for olives, she will not get to pick a shoe size filter, and vice versa.

These filters adjust automatically, ensuring a seamless search experience whenever your website visitors interact with your e-store.

Ready to grow your business?

Exploit the power of generative AI in your e-shop, and see user satisfaction and conversion rates grow.

From personalizing the shopping experience and understanding user search intent to unlocking conversation-like search interfaces, enabling vector search, and providing dynamic filters, LupaSearch is your e-commerce search partner in your retail growth.

Request a free product demo, and let’s have a productive conversation.