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Published in Sales

Top 5 e-commerce AI powered chatbots: use cases and benefits

Kenneth Pangan

Kenneth Pangan

Writer

E-commerce businesses face mounting support challenges, with 77% of customers saying they’re more loyal to businesses that offer top-notch service with an emphasis on speed. While 88% of customers engaged with chatbots in 2022, traditional solutions often fall short of meeting growing expectations for instant, personalized support.

Modern AI chatbots have emerged as a transformative solution for e-commerce customer support automation, reducing operational costs by up to 30% while handling customer queries 24/7 with contextual awareness. These advanced systems go beyond simple FAQ responses, taking real actions to resolve customer issues and integrate seamlessly with existing e-commerce platforms.

 

Screenshot showing eesel AI's integration dashboard with highlighted sections for e-commerce platform connectors, knowledge base imports, and API configuration options, while there's a chatbox open and the AI is answering a customer question. The visual demonstrates the straightforward setup process and available integration options.

Let’s explore which AI chatbots can transform your support operations while maintaining the personal touch your customers expect.

Essential e-commerce AI chatbot features

When evaluating AI chatbots for your e-commerce support, understanding core capabilities is crucial for making an informed decision. Modern AI support platforms offer sophisticated features that directly impact customer satisfaction and operational efficiency.

Understanding AI query handling capabilities

Today’s AI support agents use advanced natural language processing to understand customer intent beyond simple keyword matching. The technology analyzes context, sentiment, and historical data to provide relevant responses. For example, when a customer asks about a delayed order, the system can automatically check tracking information, identify shipping delays, and provide specific updates without human intervention.

The real differentiator lies in how these systems handle varying levels of complexity:

A sophisticated e-commerce chatbot should effectively manage simple queries (order tracking, return policies), medium-complexity issues (multi-step problem resolution), and know when to seamlessly escalate complex cases to human agents while preserving full conversation context.

Integration capabilities for unified support

While natural language processing forms the foundation of AI support, the real value comes from seamless system integration. Key integration requirements for effective e-commerce chatbots include:

  • Seamless connectivity with major platforms like Shopify and Magento to access order data and customer information in real-time
  • Native compatibility with helpdesk systems such as Zendesk and Intercom to maintain unified customer communication
  • Flexible API frameworks that allow custom connections to internal tools and databases
  • Enterprise-grade security protocols for protecting sensitive customer data during transfers

The 5 best e-commerce chatbots

Going off the essential features, here’s our list of the top 5 AI powered chatbots for e-commerce in 2025.

1. eesel AI’s LiveChat AI

Price: Starter plan $39 per month, more for complex AI actions. No per-resolution or per agent fees.

eesel chat bubbble pop up assisting custoomer with order shipping

eesel AI allows you to quickly customize and deploy an AI powered chatbot without breaking the bank. Even on the basic tier plan you’re able to train on multiple different sources, allowing your bot to get up to speed without much trouble. You also get the ability to customize your chatbot to your liking, getting even more options than some other more expensive chatbots. If you want multiple bots to handle different things, there are upgraded plans that offer more bots. These upgrade plans also include hundreds of integrations so you’ll be able to connect to any platform of your choosing.

2. Ada Messaging

Price: Custom pricing that requires you to contact them

Ada CX chatbot answering a customer questions, with an ecommerce website in the background.

While Ada CX’s pricing is more inline with larger enterprises with budgets to match, their AI chatbot offers an impressive amount of customization options. You’re able to change up the conversation flow without the need to know how to code, which is a huge plus. It easily integrates with other platforms with the only real drawback being the price.

3. Intercom’s Fin

Price: Starting at $39 per person, per month. Per-resolution fees apply.

screenshot of Intercom Fin AI chatbot the settings page

Intercom’s Fin is a powerful AI tool that will allow your chatbots to answer more intelligently. The main caveat is that the $29 per person/month will quickly jump to large numbers due to the pay-per-resolution model when using Fin. Despite this, Fin is an advanced conversational AI allowing for more personalized chat experiences for your audience. For a chatbot solution that offers fast learning, personalized answers, and access to AI agents, the price may be worth it for your team.

4. Tidio’s Live Chat

Price: Starting at $29 per month plus a minimum of $39 a month for AI access

screenshot of the Tidio live chat answering a customer question or a screenshot of the settings/customization page of the bot

Tidio’s chatbots help to automate client support, the AI (Lyra), gives customers customized answers for a more personalized chat experience. Customizing the bot is made easy with different templates to get your bot up and running quickly. It’s easy to get started with the Tidio chatbots from installation to customization. The thing stopping Tidio from ranking higher is the price. At first glance, it’s pretty affordable, but in order for it to even be on the list for AI-powered chatbots, you need to get the $39 a month add-on for 50 chats, if you require more chats a month you’ll have to pay even more.

5. Manychat

Price: Starting at $15 a month and scales with the number of contacts you have

Screenshot of Manychat’s AI chatbot answering a question or a screenshot of their chatbot settings page

Manychat offers a great user-friendly chatbot on social media. For those looking for a way to have a chatbot answer Facebook Messenger, Instagram, WhatsApp, or even TikTok messages, Manychat may be the right option for you. Manychat allows you to instantly take a customer inquiry from social media and instantly transition them to a chatbot to help them along the customer journey. Offering easy customization options, you can easily get your AI chatbot up and running. While you do pay for having more contacts, it is considerably cheaper than some of the other options available.

Measuring chatbot ROI and impact

Tracking your AI chatbot’s performance is crucial for optimizing its effectiveness, and proving return on investment for your e-commerce support automation. According to Tidio’s research, businesses implementing AI chatbots see an average 30% reduction in customer support costs.

Quantifying performance improvements

Start by establishing baseline metrics for your current support operations. Track how your first response times improve with automation, typically seeing 60-80% faster responses when implementing AI support. Monitor resolution times across different query types and measure queue reduction impact, particularly during peak periods and after hours when traditional support teams are offline.

To calculate cost savings, compare your baseline support costs against AI handling expenses. Factor in both direct cost reductions from automated responses and indirect savings from improved agent productivity. eesel AI customers typically see ROI within the first 3 months of implementation.

Understanding customer satisfaction impact

While cost savings are important, customer experience remains paramount. Monitor satisfaction scores (CSAT) and Net Promoter Score (NPS) changes after implementing your chatbot. Track conversation completion rates to ensure customers reach satisfactory resolutions, and analyze self-service success rates for common queries.

Six Zero Pickleball NPS and CSAT scores

Pro tip: Use built-in analytics tools to identify areas where your chatbot needs additional training or where escalation patterns suggest opportunities for automation expansion.

Getting started with AI support

Successfully choosing an AI chatbot starts with thorough preparation and clear goals. Begin by analyzing your current support metrics, including ticket volumes, response times, and common customer issues. This baseline data helps measure the impact of automation and justify the investment.

Once you have your requirements listed down, check the list of recommended AI chatbots to see which one fits your needs the best. If you’re in need of something that deploys fast or has a higher feature to price point, that might eliminate some off the choices for you, helping you pinpoint the right choice faster.

To see how AI can transform your e-commerce support operations, schedule a consultation with eesel AI. Our team of specialists will help evaluate your specific needs and create a customized implementation plan.

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