10 Best AI Agents for eCommerce Stores to Automate Sales and Support
Summary: What You Will Learn
- Why ecommerce brands are increasingly adopting AI automation
- The 10 best AI agents for ecommerce, including features and use cases
- How AI can improve speed, accuracy, and customer satisfaction
- Key evaluation criteria for selecting automation tools
- Budget and ROI considerations
- General FAQs to guide decision-making
Introduction
Customer expectations for fast, accurate ecommerce support are rising, based on widely observed industry patterns. Online retailers today face increasing inquiry volumes across chat, email, SMS, and social channels.
AI agents can help stores scale by addressing many common questions instantly, supporting purchasing decisions, and streamlining operational workflows.
This guide reviews 10 AI agents that ecommerce stores often consider when improving customer service and sales automation.
Why AI Agents Are Increasingly Important for Modern eCommerce Success
Ecommerce teams frequently manage large volumes of repetitive questions about orders, shipping, returns, sizing, product details, and payment issues. Handling these inquiries manually can strain teams and slow resolution times.
AI agents can support ecommerce operations by:
- Providing faster responses for common questions
- Reducing overall ticket volume for human agents
- Delivering more consistent and policy-aligned answers
- Assisting shoppers earlier in the buying journey
- Automating certain workflows, such as order lookups or basic updates, depending on each tool’s capabilities and integrations.
- Helping reduce operational costs through efficiency gains
When implemented correctly, AI agents can contribute to a smoother customer experience and more scalable support operations.
1. Fin by Intercom:
Fin is an AI agent for customer service across chat, email, social, and voice. In ecommerce use cases, it can handle tasks like order updates, refunds, returns, subscription changes, and basic troubleshooting when connected to the right systems. It integrates with common ecommerce platforms and helpdesks to retrieve customer context and take action where permitted.
Key Capabilities
- No-code controls for ecommerce policies and brand toneConfigure how Fin responds to refunds, returns, delivery issues, and escalations without engineering support.
- Multi-step ecommerce workflows with system actionsComplete tasks like order lookups, refunds, exchanges, and subscription changes across connected backend systems.
- Multilingual support for global ecommerce customersDeliver support in more than 45 languages across digital channels.
- Image handling for order and delivery issuesInterpret photos and screenshots such as damaged items, shipping labels, or receipts.
- Personalized responses using ecommerce contextUse live order, customer, and inventory data from integrated platforms to tailor responses.
2. Gorgias
Gorgias is a helpdesk platform designed for ecommerce brands. Its AI capabilities can assist with automating many common customer questions across chat, email, SMS, and social channels.
Key Capabilities
- Automated responses for frequently asked questions
- Integrations with Shopify, BigCommerce, and Magento for order-related inquiries
- AI-assisted ticket summaries and classification
- Intent-based macros and automation templates
- Performance dashboards tailored to ecommerce
3. Shopify Inbox
Shopify Inbox provides AI-assisted automation directly within Shopify, helping merchants engage with shoppers and respond more efficiently.
Key Capabilities
- Basic AI-assisted or automated replies to common FAQs
- Product recommendations within chat
- Unified messaging for Shopify sellers
- Simple setup for small and growing stores
- Included at no additional cost for Shopify merchants
4. Netomi
Netomi is an AI platform used by retail and ecommerce brands to automate a range of support interactions, especially for larger teams.
Key Capabilities
- Can automate assistance for inquiries such as shipping or returns, depending on configuration
- Multi-channel coverage across email, chat, and messaging
- Integrations with ecommerce platforms and CRMs
- Configurable workflows and routing rules
5. Tidio AI
Tidio provides AI automation tools designed for small and midsize ecommerce stores. It is commonly used by smaller teams due to quick deployment and accessible pricing.
Key Capabilities
- Automated answers for frequently asked questions
- Abandoned cart and follow-up flows (template-based)
- Lead capture and routing
- Shopify, Wix, and WooCommerce integrations
- Optional email marketing tools
6. Ada
Ada is a no-code automation platform used by larger retail and ecommerce brands.
Key Capabilities
- No-code builder for creating automated flows
- Supports personalized responses when customer context is available through integrations
- Multi-channel support
- Governance, security, and analytics
7. Manychat
Manychat specializes in automation on channels like Instagram, Facebook Messenger, and WhatsApp.
Key Capabilities
- Automated messaging flows for social channels
- Offers templates for cart recovery and promotional broadcasts, subject to platform rules
- Lead capture and segmentation
- Integrations with Shopify and ecommerce apps
- Drag-and-drop visual builder
8. Chatfuel
Chatfuel provides automation for messaging channels and is often used by ecommerce teams to streamline support and engagement.
Key Capabilities
- Conversational automation flows, with optional AI capabilities depending on setup
- Automated updates when integrated with ecommerce systems
- Integrations with Shopify, WooCommerce, and CRMs
- Tools for broadcast messaging
- Pricing accessible to SMBs
9. Freshchat AI – Broad Customer Experience Capabilities
Freshchat, part of the Freshworks suite, offers conversational automation, engagement tools, and customer journey features.
Key Capabilities
- Customer journey mapping powered by AI
- Proactive chat engagement
- Integrations with Freshdesk and other Freshworks tools
- Reporting and analytics
10. HubSpot Chatflows – Marketing-Integrated AI
HubSpot Chatflows connects chatbot automation with HubSpot’s CRM and marketing tools.
Key Capabilities
- CRM and marketing-integrated automation
- Lead scoring and nurturing workflows
- Automated qualification flows
- Conversion and ROI analytics
How to Choose the Right AI Agent for Your eCommerce Store
Key Considerations
- Volume and complexity of customer inquiries
- Need for workflow automation
- Degree of integration with ecommerce platforms
- Channels your customers use most
- Cost structure and expected ROI
- Requirements for governance, testing, and control
Common Features to Consider
- Strong ecommerce platform integrations
- Automation for both informational and transactional queries
- Personalization using customer data
- No-code configuration capabilities
- Multilingual and multi-channel support
Budget and ROI Expectations
- Pricing varies by tool, usage, and automation depth
- Stores often see ROI improve when automating high-volume repetitive inquiries
- Success depends on content quality, integration setup, and ongoing optimization
FAQ
What is an AI agent in ecommerce?
An AI agent is software that uses machine learning and natural-language understanding to automate customer interactions, answer questions, or support operational tasks such as order lookups or returns.
How do AI agents improve ecommerce support?
They can respond quickly to common questions, guide customers through processes, and reduce the number of inquiries that require human attention.
Can AI agents reduce customer service volume?
Yes, many routine inquiries can often be handled automatically, which reduces the number of tickets that reach support agents.
How do AI agents integrate with ecommerce systems?
They typically connect through APIs or native integrations, allowing them to access order data, customer profiles, inventory, or billing systems when appropriate.
Do AI agents help increase sales?
They can help by answering pre-purchase questions, reducing friction during checkout, or assisting with product discovery.
What should ecommerce stores evaluate before choosing an AI agent?
Stores should evaluate automation depth, integration requirements, configurability, cost, multilingual needs, and the ability to test and monitor performance.
Are AI agents difficult to implement?
Many modern tools offer guided onboarding, templates, and no-code setup. Implementation time varies but is often measured in days rather than weeks.
Can AI agents handle complex or sensitive issues?
Some advanced AI agents can assist with multi-step processes when configured, but sensitive issues typically still require human involvement.
Is customer data safe when using AI agents?
Reputable platforms use encryption, access controls, and compliance frameworks. Stores should review a vendor’s data handling, residency, and security practices.
Conclusion
AI agents can play an important role in helping ecommerce brands scale support, improve customer satisfaction, and streamline operational workflows. When configured well, they can automate many inquiries, reduce response times, and support customers across channels.