Every good answer starts with a good question

Related Prompts revolutionizes how shoppers interact with commerce search by offering intuitive, more conversational search suggestions for a more human-like interaction. When a shopper searches for a product in your commerce store, and hundreds of items are displayed on the results page, the search experience becomes very daunting and exhausting. Filters can help in this situation, as they're designed to reduce noise, but they don't always speak the same language as shoppers. This is where Related Prompts becomes valuable. They present questions that capture shoppers' intent, providing a more precise and relevant search experience and helping shoppers navigate your product catalogue more efficiently.

Related Prompts leverages advanced synthetic data generation techniques to create natural language search suggestions. These suggestions are synthetically generated using proprietary, AI-powered large language models (LLMs) with advanced algorithms trained to synthesize contextually relevant, human-like queries. The queries generated are presented as questions that mimic natural language. Since the models don't rely on historical data, they effectively address cold start challenges.

This process dynamically generates alternative phrasing for shoppers' searches, ensuring both relevance and diversity. By offering alternative ways to formulate searches, Related Prompts fosters more significant interaction between shoppers and your product catalog, driving better engagement.

For example, when a shopper searches for "shoes", they might be prompted with questions such as Find the perfect shoes for your next adventure, In search for the perfect shoes to walk around the city?, Looking for comfy and stylish shoes?, or Are you looking for retro-styled shoes?. These prompts help capture the shopper's intent. Depending on the shopper's preferences, each prompt provides different search and discovery paths, such as waterproof or lightweight shoes, narrowing the results and enhancing the overall search experience.

Use Related Prompts in your commerce store to either expand or narrow down the product results list based on the shopper's needs and your business strategies. These prompts can suggest queries to ease product catalog discovery, refine the original search, and help shoppers find exactly what they want. Additionally, they can replace the use of synonyms by understanding shoppers' intent perfectly. Related Prompts can also serve as a fallback mechanism, providing alternative shopping suggestions when a query has just a few or no results at all.

Conversational experience in an online pharmacy

See how related prompts humanize the product catalog discovery

Curating Related Prompts

With Empathy Platform, you can decide whether to show synthetically generated related prompts in your commerce store. You can curate the search experience and hide some synthetic prompts since they don't follow your business strategy or are not exactly what you want to show shoppers for a specific query.

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New related prompts can be added to enhance your commerce store search and discovery experience. Contact your Key Account Manager to know how to do so.

Spot the difference

Don’t get confused with Related Prompts and Related Tags or Next Queries. Related Prompts are questions synthetically generated after the system captures the shopper's intent. Based on the prompt the shopper selects, different options to continue with the conversation are triggered. Related Tags appears with reductive prompts to complement the original query and refine the search and discovery experience. Next Queries, instead, appears with expansive prompts to complement the original query to broaden the discovery of your commerce store catalog and offer complementary products to the original shopping intent. Thus, Related Tags or Next Queries can be found within the prompt as pills, being organically generated based on the wisdom of the crowd—anonimized collective behaviour and interactions.

For example, when you search for “hoop earrings” in a jewelry commerce store, you might see a prompt asking “Are you looking for gold or silver earrings?”. If you select "gold", you refine your initial search and get more relevant results, as if it were a related tag narrowing down your results list. Then, you can choose the prompt “Do you want a matching ring?” to continue exploring the catalog. This prompt acts as a next query, displaying related products based on your original query.

Related Prompts can be identified because they are phrased as questions to narrow down your search or expand your product discovery.

Have Synonyms come to your mind when exploring Related Prompts? Don't confuse them with Related Prompts, either. You can configure synonyms to ensure shoppers find relevant results and avoid dead ends, even when shoppers use different terms to refer to a product listed in your catalog. Similarly, the use of LLMs not only serves to enrich your catalog by including additional attributes but also helps expand your catalog by generating natural language prompts that act like synonyms. These prompts can include alternative terms or descriptions for products, making you save time that would otherwise go into configuring synonyms, while enhancing product discoverability.

Try Related Prompts to...

• Help shoppers find products quickly and effortlessly with an enhanced catalog discovery experience.
• Provide human-like, full natural language conversational capabilities to your search experience.
• Simplify the shopping journey by reducing search barriers.
• Increase discoverability by boosting the product catalog and category visibility.
• Get a more natural, saving-time way to catch your shoppers' intent compared to using synonyms.
• Help shoppers bridge the gap between keyword search and AI-driven conversational search trends.
• Educate shoppers in writing more complex and conversational queries.