A Guide to Virtual Shopping Assistants for Personalized Shopping

Amelia Woolard
Amelia Woolard

Forget the days of impersonal service and irrelevant recommendations — the virtual shopping assistant revolution is here. 

We’ve all heard the hype about AI assistants, but for those of us in the ecommerce trenches, these whispers are becoming a reality. In fact, the virtual assistant market is growing quickly at a compound annual growth rate (CAGR) of 32.9% through 2030.

AI chatbots, once a thing of science fiction novels, are now learning and evolving at lightning speed, ready to deliver a tailor-made shopping experience that enhances omnichannel customer engagement.

Best of all, they’re no longer limited to robotic scripts and stilted language. Today’s AI chatbots engage in natural, nuanced conversations, building genuine connections that ultimately boost your bottom line. 

How do AI assistants work? Keep reading to explore the benefits of conversational AI chatbots, how these handy tools work, and how they transform your customer experience. Get ready to discover the future of customer service, where every interaction feels personal and every journey feels perfect thanks to virtual shopping assistants.

Key Takeaways
Virtual shopping assistants are on the rise. Here’s an overview of why these AI-powered solutions are going to revolutionize ecommerce:
  1. The what: Virtual shopping assistants use AI to create human-like conversations with customers and help answer questions, provide recommendations, and more.
  2. The how: Unlike chatbots, which rely on predefined responses, AI assistants use natural language processing to adapt dynamically to what users are saying.
  3. The why: AI virtual assistants can improve customer engagement, save your company time and money, and create a much more seamless online shopping experience.

What Is a Virtual Shopping Assistant?

Imagine your ideal sales associate: kind and helpful, but never pushy. They offer the right kind of information when you need it, and exhibit a next-level understanding of the products in stock and which one may be best for you. 

Virtual shopping assistant providing dress recommendations

A virtual shopping assistant simulates your favorite in-store shopping experience, offering product information, order updates, website navigation assistance, and much more. With the help of data analytics and predictive capabilities, AI shopping assistants personalize the user experience, streamline decision-making processes, and ultimately improve customer satisfaction. To do this, these tools engage advanced algorithms, machine learning, and natural language processing (NLP) to decipher user queries and offer tailored recommendations. 

You may have heard of human virtual assistants. In this article, we’ll focus on AI virtual assistants and not human assistants. Unlike AI virtual assistants, which are digital algorithms that help customers, human virtual assistants are real people hired to complete customer service tasks remotely. They handle customer inquiries, provide guidance, and assist with tasks via email, chat, or phone.

It’s important to note that AI assistants don’t replace people but expand upon human capabilities. AI shopping assistants can scale your support efforts across multiple platforms, like your website, mobile app, and SMS. Plus, they can handle large volumes of customer inquiries and deliver consistent messaging, no matter the location or time of day. The result is a smoother and more successful customer experience that is then enhanced by human agents.

How Is AI Used in Virtual Assistants?

AI is the driving force behind virtual shopping assistants. With artificial intelligence at their core, these assistants handle essential tasks crucial to the online shopping experience.

Data analysis and consumer behavior interpretation are two of the most important capabilities. AI virtual assistants analyze data meticulously using sophisticated algorithms, identifying patterns in past behavior and established preferences. With a tool like Bloomreach Clarity, you can use this data to understand what customers want and recommend products that fit their needs. This makes your shoppers happy because they find things they actually like.

Virtual shopping assistants also rely heavily on AI for predictive analytics. By analyzing historical data and looking at what groups of shoppers are currently buying, you can train these AI systems to forecast future trends. Then, an AI virtual shopping assistant can use this intel to suggest products that customers might want before they even begin searching for them. This increases the odds of a purchase and makes the shopping experience more enjoyable overall. 

AI solutions also adapt and learn based on ongoing interactions, so they can better serve your customers. These virtual personal shopping assistants become smarter as more customers use them. Clarity, for instance, learns from shoppers during every interaction and then uses that real-time data to recommend relevant products. 

Finally, no discussion of AI chatbots would be complete without mentioning how NLP fuels highly accurate responses. Natural language processing capabilities allow virtual shopping assistants to engage users in conversation, resulting in smoother, more human-like interactions, which helps with increasing sales or driving another desired action. Plus, NLP enables AI-powered site search, which understands what customers want to deliver more personalized shopping experiences.

How Do AI Assistants Work?

Let’s imagine that you’re in the market for a new pair of athletic shoes. When visiting a shoe retailer’s website, you encounter an AI shopping assistant: a friendly, highly knowledgeable digital tool specifically designed to help you shop online.

To provide optimal help, the virtual shopping assistant analyzes what you’ve clicked on, what you’ve asked, and what you’ve bought before. By looking at all of this data, the assistant learns more about you and your preferences. 

Now, when you ask the AI shopping assistant something, it’s not just listening to the words you say, but working to understand what you mean. This is where natural language processing comes into play. NLP helps the assistant understand your language and the context of what you’re saying. If you express that you’re looking for “athletic shoes for running,” the assistant won’t suggest athleisure shoes unsuitable for intense workouts. It knows you’re looking for shoes for a specific purpose and will honor that with the right product recommendations

Breakdown of how AI shopping assistants use natural language processing

A great AI chatbot will take these amazing abilities one step further with semantic understanding, or understanding the deeper meaning beyond what you’re asking. This helps them suggest not just any athletic shoes, but the best ones for you based on your past purchases and what shoppers similar to you have found suitable for running. 

AI virtual assistants protect you from making regrettable purchases while also getting to know you over time. By collecting and analyzing loads of helpful customer data, the virtual assistant becomes progressively smarter. It tweaks its suggestions and advice based on what works best for you, making your online shopping experience feel less like fielding automated responses from a robot and more like a conversation with a good friend who has impeccable taste. 

Conversational AI vs. Chatbot

Conversational AI and chatbots are often used interchangeably. While there is some overlap between the two technologies, each one has particular capabilities.

To understand conversational AI vs. chatbots, imagine that each technology is an actor at a community theater. 

Traditional chatbots are like rehearsed actors cast to perform in a play. Chatbots have a set script and predefined conversation flows, which allow them to respond adequately to specific queries. However, they fall short when users have a complicated question or wish to engage in a more free-flowing conversation (like you might with sales associates in brick-and-mortar stores).

Conversational AI takes the form of an improv actor untethered by a script. Because conversational AI can understand human language and all its subtleties at a deep level, it adapts dynamically to user inputs. This allows it to comprehend user queries beyond simple keywords, decipher intent, and respond contextually, just like a human would in a conversation. 

A comparison between traditional chatbots vs. one powered by conversational AI

Although the terms differ, it’s possible to use conversational AI technology within a chatbot shopping assistant. AI chatbots are helpful for a few reasons:

  • Chatting feels more like talking to a friend than a machine. When using conversational AI in retail, people don’t feel like they’re punching buttons; they feel listened to and understood. It’s no surprise that within the past few years, multiple industries have seen a 250% increase in interactions handled by a conversational AI tool. 
  • Advanced interactions fuel the hyper-personalization engine. When conversational AI platforms can pick up more from what users say, they can suggest more products and services that are well-suited to their needs. 
  • Conversational AI grows more intelligent over time. The more your customers use it, the smarter it becomes, making responses and suggestions better with every interaction. 

Ultimately, bringing conversational commerce to your chatbot shopping assistant isn’t just about enhancing interactions — it’s about creating an immersive, personalized brand experience that resonates with online shoppers, making them feel special and cared for so they stay loyal to your brand.

Benefits of AI Virtual Assistants

AI virtual assistants shake up how we shop. From heightened engagement to round-the-clock availability, these AI shopping assistants are redefining the ecommerce world. Let’s explore the benefits of AI chatbots and how they create a human-centered, highly personalized shopping experience for your customers.

Improved Customer Engagement

AI shopping assistants are essentially friendly, tech-powered concierges, offering personalized advice and instant support to boost customer engagement at every turn. They become customers’ personal shoppers, creating a personalized, one-on-one experience. By keeping track of customer interactions (i.e., what they like, how they shop, and what they ultimately buy), these virtual shopping assistants provide relevant suggestions that are likely to result in a conversion. 

Chatbot using conversational AI to help a shopper

What makes these tools even more powerful is their ability to proactively engage your customers. They anticipate user needs, stepping in to offer assistance or recommendations even before a customer asks. This approach shows shoppers that your brand understands their customer journey and wants to make the road from discovery to purchase as seamless as possible. By providing timely and relevant support, AI virtual assistants elevate the AI shopping experience and forge closer bonds between your customers and your brand. 

Cost and Time Savings

Using AI chatbots for automated tasks saves time and money. By handling routine inquiries and tasks, AI assistants take some strain off customer support staff, so employees can focus on tasks that require human expertise. Instead of responding to the same questions for hours, people can dig into projects that require empathy, critical thinking, and other skills that an algorithm can’t replicate. And the numbers speak for themselves: Gartner predicts that AI will reduce contact center labor costs by $80 billion by 2026, highlighting the significant financial impact of these tools.

Because AI assistants automate more tedious aspects of a sales, marketing, or customer service job, these tools enhance business operations by ensuring consistency and minimizing errors. By maintaining high accuracy and consistency, AI assistants avoid costly errors that can affect customer satisfaction and productivity while saving time and preventing rework. 

Inventory Integrations for Streamlined Processes

Integrating AI assistants with inventory systems lets them have real-time knowledge of what’s in stock and avoid disappointing customers by recommending out-of-stock items. It also takes care of managing inventory by checking product availability everywhere so you can get shipments out fast and reduce backorders. 

AI shopping assistant recommending a dress for delivery

Plus, these capabilities empower businesses to make informed decisions regarding their stock. With a good eye on your inventory, you’re able to determine which products are flying off the shelves and which ones are gathering dust. This lets you adjust your future orders accordingly, so you always have what customers want and avoid wasting money on items that are less likely to sell. 

24/7 Availability

Having AI chatbots around all the time is a breakthrough in customer service. They don’t stick to regular hours like traditional services and can provide consistent and dependable service 24/7. Virtual personal shopping assistants’ “always-on” availability suits how people shop and seek information now — after all, who hasn’t made a late-night impulse purchase? 

When your business can help customers at odd hours, they take notice. Customers feel valued when their questions are answered promptly, no matter the time. This ongoing support builds a strong connection between customers and businesses, making them more likely to come back and make another purchase. 

Smoother Shopping Experiences Begin With Bloomreach 

Believe the hype: Virtual shopping assistants mark a new phase in customer engagement and conversational AI in online retail. 

The benefits of AI virtual assistants extend beyond simple automation. These assistants break out of the usual boundaries of customer service, providing personalized recommendations and adapting to individual preferences for an AI shopping experience that customers love to use.

As more businesses embrace AI virtual assistants, online shopping becomes more personal. Using these tools isn’t just a technological leap, but a commitment to keep up with customer needs as they change over time so your business can build lasting connections and fuel sustainable growth.

Whether you’re a small startup or a larger enterprise, Bloomreach Clarity can accelerate your growth. Clarity is a conversational shopping solution that includes all of the features you need to drive revenue and deliver the ultimate customer experience. Learn more about Bloomreach Clarity


Amelia Woolard


Amelia is an experienced content developer with a focus on technology trends across domestic and international markets. Drawing from her experience in digital marketing and account management, Amelia produces written copy that informs and engages the B2B industry.

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