AI in E-Commerce: Boosting Sales Through Customer Engagement

Introduction

Retail sales through e-commerce during a recent holiday season represented more than one-third of all sales for the first time in history, and current trends indicate that this shift toward e-commerce alternatives will continue to accelerate. Virtually any product or service available in a traditional retail setting can also be found online — typically with far more options and lower prices. It is little wonder that retailers of every kind have established an online presence to capitalize on this trend. At the same time, consumer expectations for their e-commerce experience are maturing and expanding. One strategy that has already proven effective in meeting these expectations is the integration of artificial intelligence into the online retail experience, and there are multiple documented benefits of this approach for retailers (Chen et al., 2021).

A gap remains in the existing body of knowledge, however, concerning consumers' attitudes toward and engagement with emerging AI-based technologies when deployed in retail e-commerce settings (Moriuchi et al., 2021). To help fill this gap, this paper identifies the impact of AI in boosting e-commerce sales through customer engagement and enhanced experiences as the context for a proposed study. Section two provides an overview of recent and current trends in the addition of AI to e-commerce; section three reviews relevant literature on these issues. Section four describes the proposed study's methodology, section five discusses data analysis strategies, and section six presents the proposed study's timings and project management approach. Finally, section seven describes the research instruments to be used, followed by an overview of the presentation and structure of the final results.

The Growing Role of AI in E-Commerce

E-commerce is becoming a dominant alternative to traditional retailers, and growing numbers of companies of all sizes and types are searching for viable strategies to capitalize on this trend by transitioning the marketing of their products and services to an online environment. Many enterprises — most especially small businesses — quickly discover that there is far more to effective e-commerce than simply listing products and services on a website and hoping for the best. Moreover, truly effective e-commerce strategies exploit the automation that artificial intelligence offers, yet a dearth of timely and relevant research in this area remains, limiting the guidance available to aspiring companies seeking e-commerce success.

The potential of AI for boosting e-commerce sales through improved customer engagement and experience has already been demonstrated by the widely discussed ChatGPT platform, which provided the following comprehensive response when queried on this topic:

Artificial intelligence (AI) has the potential to greatly impact e-commerce sales by improving customer engagement and experience. AI-powered chatbots can provide personalized and immediate customer service, while machine learning algorithms can be used to recommend products or create personalized discounts for customers. Additionally, AI can be used to analyze customer behavior and preferences, allowing e-commerce companies to better target their marketing efforts and improve the overall shopping experience. Another way AI can boost e-commerce sales is through image and voice recognition technology. This allows customers to search for products using natural language or by taking a picture of an item, making the shopping experience more convenient and efficient. AI can also assist e-commerce companies with inventory management and forecasting demand. This can help companies ensure they have the right products in stock at the right time, reducing the likelihood of stockouts and lost sales. Finally, AI-powered fraud detection systems can help e-commerce companies prevent fraudulent transactions, improving customer trust and loyalty. Overall, AI can help e-commerce companies boost sales by providing a more personalized and efficient shopping experience for customers.

To many observers, this response is virtually indistinguishable from one written by a competent human technical writer. The important point, however, is the relative infancy of this AI-driven technology — ChatGPT is learning continuously. The mathematician who helped the Allies win World War II by cracking the Enigma code, Alan Turing, also proposed the so-called "Turing test," whereby a computer could be regarded as exhibiting human-like qualities if humans could not differentiate its responses from those of another human. When AI-powered applications such as ChatGPT are combined with lifelike avatars using human-sounding speech, the overall effect can be both powerful and somewhat unsettling — described as "creepy" in recent research. Other vendors are currently developing their own AI-powered interfaces for online consumer interactions, and it is reasonable to posit that the Turing test will no longer represent the gold standard for differentiating a computer from a human in the foreseeable future.

Literature Review: AI Tools, Chatbots, and Consumer Trust

Although every retailer's specific circumstances and requirements for e-commerce are unique, there has been a clear move toward the implementation of AI-supported chatbots, avatars, and augmented reality interactive technologies in e-commerce offerings in recent years (Ruan & Mezei, 2022). This trend reflects a number of valuable benefits that accrue from the use of AI in e-commerce settings, including those summarized below.

More targeted marketing and advertising. Personalization is a top priority among surveyed retailers, yet only 15% report having fully implemented personalization across channels. Advances in AI and machine learning have enabled deep personalization techniques that customize content by user. By analyzing large datasets drawn from purchase histories and other customer interactions, retailers can identify what customers truly want and deliver messages that resonate most effectively.

Increased customer retention. Delivering targeted, personalized marketing messages can increase retention, with omnichannel personalization strategies offering a 10–15% uplift potential in revenue and retention. Building better data and insights on customers generates additional value across the value chain, and the return on investment for personalization quickly outpaces that of traditional mass marketing.

Seamless automation. The goal of automation is to accomplish tasks with as little human intervention as possible — ranging from scheduling emails in a CRM tool to leveraging advanced technology for hiring support. In the context of e-commerce, AI can automate repetitive tasks that keep online stores functioning, including product recommendations, loyalty discounts, and low-level customer support.

Efficient sales processes. AI can create more efficient sales processes by gathering customer data, automating follow-up messages for abandoned carts, and using chatbots to handle simple inquiries and move customers through the purchase funnel (Artificial Intelligence in E-Commerce, 2022).

Given these benefits, it is reasonable to suggest that AI-enabled features will become increasingly commonplace in e-commerce settings. Moreover, many consumers today not only want AI-enhanced online experiences — they increasingly expect them. Consequently, growing numbers of retailers are incorporating different types of AI into their online offerings as a way to generate interest and differentiate themselves from competitors (Moriuchi et al., 2021). Chatbots in particular have become a focal point for online retail vendors seeking better consumer engagement and an enhanced shopping experience (Li & Wang, 2023).

There are important factors that must be considered when deploying chatbots, however, that can make or break an e-commerce platform. A study by Li and Wang (2023) found that the extent to which chatbots used informal language in their online exchanges with humans was directly associated with the degree to which consumers trusted the chatbots — an outcome that, in turn, increased consumers' interest in the brand and the likelihood of making a purchase. This finding underscores the need for online marketers to fine-tune their chatbot offerings to align with consumer preferences.

Even the visual appearance of avatars paired with chatbots can have a profoundly positive or negative impact on users. A study by Moriuchi et al. (2021) examined the effects of avatar humanization in e-commerce on consumers' levels of trust and their perception of "eeriness" in computer-generated faces. The study involved 185 participants who evaluated their online experiences with chatbot agents. A notable finding was that the more human-like the avatars were made, the more unsettling they were perceived to be — a phenomenon consistent with the uncanny valley effect — and this feeling translated into reduced trust, diminished willingness to use the chatbot again, and lower purchase intent (Moriuchi et al., 2021). This finding suggests that consumers still prefer clearly identifiable computer-generated chatbot agents, and that trust levels are essential for successful AI-based e-commerce applications.