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"Searching for Higher On-Site Conversion Rates?"

Why AI and Predictive Intelligence is the Answer Retailers Are Looking For

Consumers expect personalized shopping experiences online, including relevant product recommendations based on browse and purchase histories, as well as relevant site search results when looking for a specific product or product category. And if they can’t quickly find what they’re looking for, they’ll move on. That’s the reality in today’s hypercompetitive e-commerce landscape.

In the latest report from Total Retail and Lily AI, learn how artificial intelligence (AI) and machine learning can improve consumers’ site search experiences. An improved site search experience will not only yield higher conversion rates and higher average order values, it also increases customer lifetime value as a result of customers coming back to shop with the brand again.

Key takeaways include: 

• Identifying areas of improvement on current performance level for site search
• The value in augmenting supplier and manufacturer product descriptions with consumer-driven attributes
• Leveraging customers’ search, browse, click and purchase histories to personalize product recommendations — with the help of AI

Download this informative report to set your business up for future success by leveraging AI to power personalized shopping experiences for consumers.

Offered Free by: Total Retail
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