Coveo is a world-leading cloud-based relevance platform that uses applied AI to deliver relevant experiences in all digital interactions, from search to recommendations to personalization. Coveo’s Relevance Cloud™ leverages machine learning and natural language processing to understand user intent and context, and to deliver personalized and relevant content across all channels and touchpoints.

Coveo’s AI-powered search capabilities enable organizations to unify and enrich their data from multiple sources, including structured and unstructured data, and to provide a single, comprehensive index for fast and accurate search results. Coveo’s machine learning algorithms also enable organizations to automatically learn from user behavior and feedback, and to continuously improve search relevance and personalization over time.

In addition to search, Coveo’s AI-powered recommendations and personalization capabilities enable organizations to deliver personalized content and experiences to each user, based on their unique interests, preferences, and behaviors. Coveo’s machine learning algorithms analyze user behavior and feedback to identify patterns and trends, and to make real-time recommendations and personalization decisions that optimize engagement and conversion.

Overall, Coveo’s AI-powered relevance platform enables organizations to deliver personalized and relevant experiences to their customers, employees, and partners, across all digital interactions.

Site search is important because it is often the first point of contact between a user and a website. Nearly every customer journey begins with search, and 43% of users on retail websites go directly to the search bar. However, many websites struggle with poor search performance, which can lead to frustration, abandonment, and lost revenue.

AI-powered search, recommendations, and personalization can improve site search in several ways:

• First, AI-powered search can provide more accurate and relevant search results by understanding user intent and context, and by analyzing user behavior and feedback. This can lead to faster and more accurate search results, which can improve the user experience and increase engagement and conversion
• Second, AI-powered recommendations can help users discover new products and content that they may not have found through search alone. By analyzing user behavior and feedback, AI-powered recommendations can make personalized and relevant recommendations in real-time, which can increase engagement and conversion.
• Third, AI-powered personalization can help users find the content and products that are most relevant to their interests and preferences. By analyzing user behavior and feedback, AI-powered personalization can deliver personalized content and experiences across all channels and touchpoints, which can increase engagement and loyalty.

Overall, AI-powered search, recommendations, and personalization can improve site search by providing more accurate and relevant search results, by helping users discover new products and content, and by delivering personalized experiences that optimize engagement and conversion.

• Site search is key
• Mobile is massive
• Google gauges intent
• +230M U.S. consumers own smartphones
• 43% of users on retail websites go directly to the search bar
• 35% of product purchases start with Google
• +79% made a purchase online using a mobile device in the last six months
• 2.4X are more likely to buy when they conduct a search
• >5 days between searching and buying
• 61% of search perform below an acceptable search performance

To implement AI-powered search in your own organization, you can consider using a cloud-based relevance platform like Coveo. Coveo’s Relevance Cloud™ leverages machine learning and natural language processing to understand user intent and context, and to deliver personalized and relevant content across all channels and touchpoints.

• Identify your business goals and KPIs for site search, recommendations, and personalization.
• Assess your current search capabilities and performance, and identify areas for improvement.
• Evaluate Coveo’s relevance platform and compare it to other solutions on the market.
• Plan your data ingestion and indexing strategy, and ensure that your data is clean, structured, and enriched.
• Configure your search, recommendations, and personalization settings, and test them thoroughly.
• Monitor your search performance and user feedback, and continuously optimize your settings and algorithms.

By implementing AI-powered search, recommendations, and personalization, improve your site search performance, increase engagement and conversion, and deliver personalized experiences that meet the needs and preferences of your users. Royal Cyber’s certified SAP Commerce experts can assist you with all your needs to keep your SAP platform running smoothly and help you achieve your goals.