Maximize order value
with personalized recommendations & search
Guide your customers to bigger basket sizes with deeply customizable recommendations, search results and rankings.
Right product, right customer, right time
Context matters. Personalizing the search and recommendations experience gets customers to the products they need faster — and gives you a powerful lever for upselling.
Key capabilities
With SPARQUE.AI technology powering advanced search and recommendations on Intershop,
deeply customizable product discovery is at your fingertips.
Hyper-relevant product recommendations
Show precise recommendations at strategic points in the buyer journey to increase basket sizes. Refine your strategy by segment, or personalize to individual customers.
Fine-grained search results, rankings and assortments
Curate the product discovery experience by tailoring search results, rankings, and assortments to user behavior and context, like the customer’s cart, previous purchases, or brand preference.
Unlock new revenue potential with your data
You could be sitting on a wealth of untapped revenue. Connect data from any source to trigger recommendation algorithms you can control and customize in an easy-to-use visual strategy builder.
Personalized, conversational upselling with AI
Connect your recommendation and personalization strategies to an AI buying assistant to give customers a consulting experience that places key products as part of a conversation, not just a thumbnail.
How B2B businesses are taking search and recommendations to the next level with SPARQUE.AI technology on Intershop
Rijk Zwaan boosts efficiency and user satisfaction with unified content and commerce platform
“The collaboration with SPARQUE.AI, Contentful, and Intershop has greatly enhanced our ability to deliver a frictionless customer experience. Our customers can now search for vegetable seeds, knowledge and the latest news, all combined in one solution.”
Joeri van Tongeren
Product Manager Digital Customer Platform at Rijk Zwaan
Features list
- Recommendations: Showing relevant recommendations at key points in your shop, including popular formats like top sellers, frequently bought together, requently viewed, new products, related items, and similar items
- Personalized rankings: Tailor search results to user behavior and context, like shopping cart, order history, brand preferences, and other criteria.
- Assortments: Personalize assortments by customer or target customer segments.
- Search: Search across product name, description, EAN/article number, category and more. Tolerant of “fuzzy” search and misspellings, and supports custom or domain-specific search algorithms.
- Searchandising: Utilize pinned items, product alternatives, and suggestions across products, categories, brands and keywords to refine the search experience.
- Customization: Design and customize search and recommendation algorithms that fit your business model and customer in a visual strategy builder, using any data source.
- Localization: Multi-language and multi-locale support.
Resources
Explore how to create personalized, AI-driven B2B buying experiences.
Download whitepaper
Discover how the right architecture and data strategy can unlock new revenue streams.
Watch webinar
How personalized search and AI recommendations improve B2B buying experiences.
Read this articleSearch & Recommendations - Frequently asked questions (FAQs)
Intershop Search and Recommendations is a personalized product discovery capability for B2B ecommerce, powered by SPARQUE.AI technology. It combines personalized search, context-aware result rankings, product recommendations, and personalized assortments to help buyers find relevant products faster and help businesses increase basket value.
Personalized search and recommendations use customer context to present more relevant products and results. This can include information such as a customer’s shopping cart, previous purchases, brand preferences, or customer segment, helping buyers find what they need more efficiently.
Intershop’s search & recommendations support several recommendation formats, including top sellers, frequently bought together, frequently viewed, new products, related items, and similar items. These recommendations can be displayed at relevant points throughout the B2B buying journey and tailored to customer behavior, context, or customer segment.
Yes. Intershop’s search & recommendations can tailor search results and product rankings to customer behavior and business context. Relevant signals include shopping cart contents, previous purchases, brand preferences, customer segments, and other criteria defined by the business.
Yes. Intershop’s search & recommendations can personalize product assortments for individual customers or defined customer segments. This helps B2B companies present the products and catalog content most relevant to each customer or target audience.
Yes. The search functionality supports fuzzy search and common misspellings. Businesses can also use custom or domain-specific search algorithms to adapt the search experience to their products, terminology, and industry requirements.
Yes. Intershop Search and Recommendations support multiple languages and locales. This makes the functionality suitable for businesses operating across different markets and customer regions.
Intershop’s search & recommendations can be integrated with the Copilot for Buyers to deliver contextual product discovery, personalized recommendations, and conversational upselling. The Copilot for Buyers can use customer context such as order history, installed products, technical documentation, and current buying needs to recommend relevant products, alternatives, repeat purchases, and next-best actions throughout the B2B buying journey. The search and recommendations feature provides the configurable product recommendation strategy that the Copilot then applies.