Klaviyo AI
How AI for sales is changing the B2C buyer’s journey
4 ways AI is helping brands keep up with customer expectations
AI-driven sales for B2C brands
AI shopping is on the rise. Rather than browsing physical shelves, many consumers are using large language models (LLMs) to find and research new products.

On the brand side, AI is helping B2C businesses deliver faster and more personalized customer service around the clock, answering questions instantly and automatically routing complex questions to the right person for hands-on support. 

AI is also giving smaller brands a chance to compete with larger marketing and customer service teams without breaking their budgets. This is because AI models that are trained on customer data and product catalogs are capable of suggesting relevant products and nudging people toward a sale—while also answering questions about sizing, shipping, etc.

Here’s how your brand can use AI for sales to reshape the B2C buying experience.
In this guide:

Self-service

24/7 sales assistance

Automated handoffs

Personalized brand experiences

1. Generate revenue from AI-enhanced self-service

By the time shoppers reach your site, many already know what they want. What they’re looking for next is quick, trustworthy answers about product specs, sizing, shipping timelines, return policies, and warranty coverage before they buy—or after they buy, when they’re looking for their next item.

More than 90% of consumers expect brands to offer self-service options, according to Microsoft research. Here’s how to drive sales with self-service options across your website with things like AI-friendly content, AI sales agents, and self-serve customer hubs: 

  • Answer long-tail customer searches in your FAQs. Recently, Google pointed out that users now ask “longer and more specific questions,” often with follow-up prompts. As search algorithms evolve toward conversational, context-based queries, they’ll favor FAQ answers written in natural language. 
  • Use product data to inform responses in AI conversations. Properly trained AI sales agents can pull answers to common customer questions from your product catalog, policy pages, helpdesk logs, and support tickets. As customers browse your products, AI sales agents are available to answer questions with updated information.
  • Curate the self-service experience based on customer data. Use shopper behavior to suggest personalized products and other content in your self-serve customer hub or in conversations with your AI sales agent. AI can also surface unique coupons and loyalty points in your customer hub, and allow customers to save favorites for later. 

Intimates brand Thirdlove has individualized “For You” pages for their customers in their self-serve customer hub. There, customers see personalized recommendations and favorite items, and can track and redeem loyalty points. In 2025, Thirdlove has driven $200,000+ in revenue from their customer hub, and customers have performed 40,000+ self-service interactions.

AI sales tip: Optimize your product description pages for longer, more conversational queries that resemble actual questions. For example, answer complex questions like, “Are there leggings that won’t become see-through for someone who’s 5’8”?”

2. Guide purchases with 24/7 AI shopping assistance

Shoppers want answers the moment they have a question, and more of them are turning to AI sales agents to get them. 

81% of consumers have used AI for shopping or product research in the past 3 months, according to Klaviyo’s 2025 AI shopping index. Two-thirds even prefer getting instant answers from AI instead of waiting on a human—and more than half trust it for personalized recommendations.

An AI shopping assistant or sales agent can:

  • Answer questions instantly. An AI sales agent can pull information from your product catalog, customer data, or store policies to provide quick answers and potentially speed up purchase decisions.
  • Make personalized product recommendations. An AI sales agent can suggest the right product, size, color, or bundle based on the customer’s past browsing or purchasing behavior.
  • Reduce buyer hesitation. An AI sales agent can offer proactive, conversational help to customers who browse a product but don’t buy, or abandon a cart or check-out.
  • Handle routine order questions. From returns and shipping updates to inventory checks, an AI sales agent can run everyday support on autopilot. Instant answers to routine questions can improve the customer experience and lead to repeat purchases.

Home fragrance brand Happy Wax saw the impact of 24/7 AI support firsthand. In just 3 months, more than 50% of conversations handled by their AI agent were fully resolved without any service team involvement. 

“Customers get instant answers, and our team gains bandwidth for high-touch moments,” says Rachel Fagan, vice-president of marketing at Happy Wax. “That’s setting us up for success.”

AI sales tip: Make sure your AI sales agent is trained on your product catalog, customer data, FAQs, return and shipping policies, and brand guidelines. This helps prevent the kind of generic advice traditional chatbots provide, and keeps your customer experience feeling personalized.

3. Escalate high-value conversations to human agents with an AI-powered helpdesk

AI can automate answers to a significant number of questions. But complex or high-value customer interactions still require a person who listens, empathizes, and guides a purchase decision.

Take London fashion brand Folk Clothing, for example. Within a month of using an AI-powered helpdesk, the company cut their average ticket resolution time by 75%. The brand uses an AI agent to answer common questions, but when it can’t answer, the helpdesk’s built-in AI routes customers to the right human agent.

Here’s how AI and human agents work together to drive sales and serve customers:

  • AI answers common questions. When someone lands on a product page, an AI agent can pull data from your store and CRM, open the chat, and offer shopping assistance. AI sales agents can access cart contents, order history, browsing data, etc. If the conversation becomes complex or contentious, AI agents can hand the interaction off to a human agent with complete context preserved.
  • Humans step in where nuance matters. Your human agents step in when the conversation needs nuance, such as when customers want to purchase a premium item, discuss a complex order, or make a custom request. Human agents should be operating with all the context from previous AI interactions, so they can guide customers toward a purchase without asking them to repeat themselves.
  • AI in your helpdesk makes you more efficient. Built-in AI automates ticket assignments and tagging, with smart routing and macros that keep your team fast and consistent.
  • Human and AI agents offer assistance across channels. Customers expect to interact with support across multiple channels. To keep these omnichannel conversations organized, every interaction needs to feed into one inbox in your helpdesk. The result on the customer’s end is a smooth transition between AI and human agents across any channel, as if they’re having one conversation instead of multiple fragmented ones.

The most important thing for brands is to make sure self-service, AI, and human agents are working together to serve the customer. Clothing brand Ministry of Supply, for example, set up a self-service customer hub and an AI customer agent to give shoppers the option of self-service, instant answers, and the choice to talk to a human. 

“The most common things we see customers want in a bespoke shopping experience are details on what they got last time, and what we think they should get this time,” says Aman Advani, CEO of Ministry of Supply. With the customer hub and AI agent, “they have easy access to both of those things.”

Within a 60-day period, the brand’s AI customer agent resolved 84% of product recommendation questions on its own. The personalized recommendations in the customer hub have also helped increase revenue per session. 

AI sales tip: Use an AI sales agent in combination with an AI-powered helpdesk to make sure customer service escalation is centralized and smooth.

4. Use AI to personalize future brand experiences

When shoppers ask questions and interact with your brand, they’re generating customer data. AI interactions can collect a lot of that data without human intervention. That’s data you can use to personalize future marketing messages and ultimately drive more revenue.  

Here’s how you can use customer and product data from AI sales agent conversations to improve your marketing efforts:

  • Refine segmentation through intent. Use AI-customer interactions to create more niche pre-purchase segments. For example, add shoppers who don’t buy but are curious about fabric quality or care instructions to a segment of customers who are interested in educational content.
  • Pre-empt sales objections. If your AI agent fields the same questions repeatedly, like “Does this come in my size?” or “Is shipping free?”, add that information to product pages or FAQs so buyers have the answer before they ask.
  • Send automated follow-ups that reflect real conversations. Use real customer questions to trigger automated flows. For example, if someone asks when a product might be available again, send them a notification when an item returns. You can also pause promotional campaigns when a ticket is open, or create tailored win-back flows just for them.

AI sales tip: Use the insights from AI sales agent conversations to refine your marketing campaigns, get ideas for new promotions, discover new segments or customer interests, and even update your product messaging.

Give your online sales a boost with K:AI Customer Agent

If you’re already looking for ways to make your sales experience faster and more personal, the next step is to connect your customer and product data to your AI sales agent.

K:AI Customer Agent automatically ingests your storefront, product catalog, help docs, and policies so it’s ready to assist customers right away. There’s no complex set-up or training involved.

Once it’s live, Customer Agent meets shoppers where they already are: on web chat, SMS, email, and WhatsApp (coming soon). It instantly handles routine questions, routes complex ones to your team with full conversation history, and keeps every response on brand.

Within days, you’ll notice fewer tickets in your inbox and faster resolutions. Shoppers get clear answers without waiting, and your team can focus on conversations that build trust and drive revenue.

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