Conversational AI in E-Commerce: Benefits & Examples

Though the concept of e-commerce is just a few decades old, it is arguably the most dynamic and innovative sector on the planet – growing in size and potential every year.

Take the UK, for example, one of the world’s most promising e-commerce markets. In 2007, UK e-commerce sales accounted for just 3.7% of all retail sales. By 2023, that percentage had risen to 26.7%.

With more people shopping online, total e-commerce spending is more lucrative than ever before. Experts estimate that in 2024, total e-commerce sales will reach $6.3 trillion, an increase of $500 billion compared to the $5.8 trillion spent in 2023.

As sales rise, so too do the demands of your customers…

The Era of The Demanding Customer

Technology has shaped the trajectory of online shopping. Payment platforms like PayPal gave people the confidence to buy online. While online marketplaces like eBay have made it easier than ever to access products. Even mobile apps have played their role, making it even more simple to buy from the palm of your hand.

Tech hasn’t just changed how we shop – but also how we think about shopping.

With technology providing instant availability, quick delivery, and simple checkouts, customer expectations have been transformed. Modern e-commerce buyers now expect things like:

Personalized experiences: 72% of consumers are more likely to be loyal to a brand that offers a personalized customer experience.
Mobile-first shopping: customers prefer to buy on their mobiles – with as much as 62% of all e-commerce sales coming via mobile by 2027.
Flexible payment options: E-Commerce businesses must accommodate for a variety of payment methods. 13% of customers said they’d abandon their carts if they didn’t see enough payment methods available.
Stellar customer experience: You'll win more revenue if you can provide good customer experiences. 86% of customers are willing to pay more for a great customer experience.

How can e-commerce businesses meet these expectations in a cost-efficient manner? The answer again comes via technology…

What Is Conversational AI in E-Commerce?

Conversational AI is a type of artificial intelligence that can help e-commerce businesses better tackle customer needs – whether they are simple inquiries about product availability or more complex support issues such as tracking down orders.

It is a type of artificial intelligence that uses Natural Language Processing (NLP) and machine learning to understand human language, which means it is perfectly suited to tackling customer communications.

Not only can Conversational AI comprehend a customer’s query, analyze the intent, and generate a suitable response – but it can also empower self-service functions to create more human-like personal shopping assistants.

Conversational AI has long served as an independent, powerful tool in customer interactions. When paired with Generative AI, however, it gains even greater capabilities, enabling an advanced, scalable solution that elevates customer experiences with increased personalization and efficiency.

Benefits of Conversational AI in E-Commerce

The benefits of Conversational AI in e-commerce are extensive– it will improve your customer’s experience while also providing long-term value to your human workforce and your overall business performance.

A happy customer is more likely to return and buy again, so customer experience is critical to every serious e-commerce provider. However, achieving excellent customer experience isn’t easy, thanks to the ever-rising demands of digital consumers who expect your store to offer rapid delivery times, instant access to customer support, and personalized offers – just to name a few.

Fortunately, Conversational AI can help you meet many of these expectations cost-effectively. That translates to happier customers, greater sales, and better long-term ROI figures. Let’s look closer at the benefits of Conversational AI and AI Agents in e-commerce…

Improves Key Customer Service Processes

Conversational AI helps alleviate this burden in a cost-efficient manner. It can field customer calls and digital communications, and when used as a complete AI Agent platform, it can quickly automate the identification and verification process, track down customer order details, and even create call summaries for future recordkeeping.

Enables Multichannel, Multilingual Capacity

For an e-commerce business to scale internationally, it needs to be able to support customers who speak different languages and use all manner of devices. An AI Agent allows you to do just that – without all of the resources and investment demanded by human teams.

AI Agents operate across 30+ voice and digital channels, meaning customers can choose how they interact and even swap methods mid-purchase. They offer multilingual support and can translate in real-time, allowing your business to communicate in natural language with customers speaking their native language, wherever they are in the world.

Powers up Personalization

71% of customers expect personalization from brands. If they don’t get it, 76% will switch loyalties. As an e-commerce retailer, you must prioritize personalization to secure ongoing customer loyalty.

AI Agents help enhance personalization by providing more individualized approaches to shopping. From supporting customers with product queries and sales journeys to offering personalized suggestions, there is a wealth of untapped potential to explore.

AI also facilitates user-driven personalization, where a customer might send a photograph of a specific item and ask for recommendations to pair with it. The AI Agent can then make recommendations tailored to the user’s needs.

Removes Buying Journey Friction

The traditional e-commerce sales funnel includes many steps, from initial awareness and consideration to purchase and advocacy. An AI Agent supports each stage and can help a user progress through them far more effectively than in a traditional journey.

Enhances Customer Experience

Conversational AI helps improve customer experience across the board in the areas that matter most: speed, convenience, knowledgeable help, and friendly service.

By giving customers instant access to personalized support whenever they need it, in a language and channel of their choosing, your AI Agent will provide an enhanced customer experience that leads to returning customers and repeat purchases.

Use Cases of Conversational AI in E-Commerce

Developing defined use cases is the best way to approach any new technology in your business. Here are a few examples of typical use cases in an e-commerce environment:

Identification & Verification

Conversational AI can help you optimize this process by gathering all of the necessary information without any human intervention.

Stock Inquiries

CAI is practically perfect for this task. It can field customer calls or digital inquiries and reply in real-time, tracking down stock levels and even dealing with more complex queries such as informing a customer when an out-of-stock product may become available.

Order Tracking

CAI helps mitigate customer frustration by providing instant support without waiting on hold.

Customer Exchanges & Refunds

CAI helps you pre-qualify callers, identify their intent, and ensure any human intervention happens when the agent is fully equipped with the background information and can make better decisions about potential exchanges/returns.

Turning Chatbots Into Digital Shopping Assistants

Conversational AI can help revolutionize chatbots as a concept and create a more engaging, personalized, one-to-one conversational interface that a customer can use to fulfill more complex self-service tasks.

Examples of Conversational AI in E-Commerce

Let’s look at Mister Spex, an eyewear e-commerce business, to see how they utilized AI to transform their business and improve that all-important ROI…

Mister Spex

Europe’s leading online eyewear retailer, Mr Spex, caters to 7 million customers across ten countries. Starting with this essential process as a use case, the brand deployed a Conversational AI Agent that could tackle simple ID&V and handle ‘where’s my order’ queries by either providing a self-service option or routing to an agent if the AI recognized friction or complexity.

Best Practices for Conversational AI in E-Commerce

Plan Your Integrations

For your Conversational AI solution to provide the most value, you must scope all your integrations first.

Choose a Narrow Use Case

To get started with Conversational AI, you need to start with a use case that represents low complexity but high volume.

Understand the Limitations

An AI Agent is built with a combination of Conversational AI and Generative AI. The conversational side deals with human-facing interactions in real-time.