AI for eCommerce

Accelerate online store setup with AI features to increase revenue

Revenue in the eCommerce market if projected to reach $3.1 billion in 2023. And the trend continues with an estimated annual growth rate that is projected by many to reach $5 billion by 2028. eCommerce has accelerated the past few years and there’s an increased need for customers to buy products and services safely. With more people shopping online than ever, eCommerce companies have the opportunity to attract many more potential customers while facing many new challenges.

Growing customer demands and increasing numbers of support queries to managing a growing number of products and services being offered, anyone who manages their online store has a lot on their plate. Many companies are now turning to artificial intelligence to learn more about their customers, what products they prefer and anticipating their wants and needs. All the while providing the best possible customer experience that customers are demanding.

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Product Descriptions

AI-powered tools can help writing product descriptions reducing the human hours it takes, with improved language constructs and quicker deployment of an online storefront.

Storefront Section content

Creating section content allows you to directly create you meaningful content similar to a product description. Once a category content is generated, you can also generate a Title and a meta description to optimize the SEO.

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Product Recommendations

With personalized product recommendations, companies can personalize customer interactions and provide more relevant online shopping experiences that will improve conversion rates, average order values and above all, customer loyalty. AI powered product recommendations are immensely useful here. They are a powerful marketing tool that you can use to increase conversions, boost revenue, and stimulate shopper engagement.

Sales and demand forecasting

Sales demand is only getting more challenging because historical sales data are no longer enough, even when combined with seasonal data. Using a combination of historical data and AI it becomes easier to predict demand using real-time data, that include demographics, the performance of similar items, and online reviews or social media.

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Abandoned Cart

Given that the average cart abandonment rate is a staggering 70%, there continues to be significant opportunities to increase sales simply by addressing this issue. AI has the ability to sense when a shopper is about to leave the shopping cart behind. One solution is the use of personalized messaging and timings to change the mind of the customer to prevent a potential loss of revenue.

An AI powered shopping cart tool can recommend visually similar products and styling suggestion due to its ability to understand each shopper’s visual style preference and auto create compelling cart abandonment emails to save the sale.

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