

AI chatbots are rapidly becoming a core part of modern ecommerce infrastructure. As online stores grow, customer inquiries about orders, shipping, returns, and product information increase dramatically. Handling these requests manually can slow down response times and increase operational costs.
This is why many ecommerce businesses are adopting AI chatbots to automate support, improve engagement, and guide customers through the purchasing journey.
Two platforms frequently compared in the ecommerce chatbot space are Relish AI and AeroChat.
Relish AI focuses on conversational commerce automation and customer engagement, while AeroChat is designed to help ecommerce stores automate customer support, manage multi-channel communication, and improve conversions through intelligent automation.
In this detailed comparison, we will examine both platforms across several key areas including automation capabilities, integrations, pricing, scalability, and real-world use cases.
Relish AI vs AeroChat Comparison
Feature | Relish AI | AeroChat |
|---|---|---|
Primary Focus | Conversational commerce | Ecommerce customer support automation |
Ecommerce Integration | Shopify focused | Shopify and multi-channel support |
Customer Support Automation | Yes | Advanced automation |
Product Recommendations | Yes | Yes |
Order Tracking | Yes | Yes |
WhatsApp Support | Limited | Built-in |
Sales Automation | Moderate | Strong |
Multi-Channel Communication | Limited | Website chat, WhatsApp, Messenger |
Best For | Conversational shopping experiences | Ecommerce support and sales automation |
What Is Relish AI?
Relish AI is a conversational commerce platform designed primarily for ecommerce stores. It focuses on helping businesses guide customers through the shopping process using chat interfaces.
Relish AI allows businesses to:
Provide automated customer support
Recommend products based on browsing behaviour
Assist customers during the purchase process
Automate frequently asked questions
The platform integrates with Shopify and focuses heavily on guided shopping experiences. Businesses often use Relish AI to increase conversion rates by helping customers discover products more easily.
However, many stores still need additional tools to automate operational tasks such as order tracking, customer messaging automation, and multi-channel support.
What Is AeroChat?
AeroChat is an AI chatbot designed specifically for ecommerce businesses that need scalable automation for both customer support and sales engagement.
Instead of focusing only on conversational shopping, AeroChat ai chatbot helps businesses automate multiple support workflows including:
order status inquiries
shipping updates
return questions
product recommendations
abandoned cart recovery
Many stores use AeroChat as part of a broader ecommerce customer support automation strategy, allowing them to reduce response times and handle large volumes of customer conversations without expanding support teams.
For example, businesses that want to reduce repetitive support questions often implement tools that automate order tracking and customer inquiries on Shopify stores, significantly lowering ticket volume.
Relish AI vs AeroChat Feature Comparison
Capability | Relish AI | AeroChat |
|---|---|---|
Natural conversation | Strong | Strong |
Ecommerce context awareness | Good | Excellent |
Customer intent detection | Yes | Yes |
Personalized responses | Behaviour based | Data and order based |
Relish AI focuses heavily on product discovery conversations, while AeroChat places more emphasis on customer service automation and operational workflows.
For stores that receive frequent inquiries about orders, returns, or delivery status, automation tools that handle customer questions automatically for ecommerce stores can significantly reduce support workload.
Winner: AeroChat
Customer Support Automation
Customer support automation is where many ecommerce chatbots differ significantly.
Relish AI can answer common customer questions and assist during the shopping process. However, some operational support tasks still require additional integrations.
AeroChat is designed to automate multiple customer service processes including:
shipping inquiries
refund requests
product availability questions
delivery status updates
Many ecommerce businesses rely on tools that help reduce support workload for Shopify stores, especially when daily customer inquiries increase as the store grows.
Winner: AeroChat
Sales and Product Recommendation Capabilities
Sales Feature | Relish AI | AeroChat |
|---|---|---|
Product discovery | Strong | Strong |
Upselling | Yes | Yes |
Cross-selling | Yes | Yes |
Checkout assistance | Yes | Yes |
Abandoned cart reminders | Limited | Yes |
Relish AI performs well for conversational product discovery.
AeroChat adds additional layers of automation that help stores increase order value by using AI-powered product recommendation chatbots for ecommerce stores.
These tools guide customers toward relevant products while also answering product-related questions.
Multi-Channel Customer Communication
Modern ecommerce businesses communicate with customers across multiple platforms including website chat, WhatsApp, and social messaging channels.
Channel | Relish AI | AeroChat |
|---|---|---|
Yes | Yes | |
WhatsApp automation | Limited | Yes |
Facebook Messenger | Limited | Yes |
Limited | Yes |
Businesses increasingly rely on tools that support omnichannel customer communication for ecommerce stores, allowing them to manage all customer conversations from one place.
AeroChat supports broader messaging automation across these channels.
Winner: AeroChat
Relish AI vs AeroChat Integration Ecosystem
Relish AI Integrations
Relish AI primarily integrates with Shopify and ecommerce analytics tools.
It is optimized for stores that want to improve the shopping journey through conversational interfaces.
AeroChat Integrations
AeroChat focuses on deeper operational integrations including:
Shopify store data
order management systems
messaging platforms
marketing automation tools
This allows the chatbot to respond to customer queries using real-time data.
For example, businesses often connect chatbots to systems that automatically send order status updates to customers, improving the post-purchase experience.
Winner: AeroChat
Relish AI vs AeroChat - Pricing Comparison
Pricing Factor | Relish AI | AeroChat |
|---|---|---|
Entry pricing | Higher | More affordable |
AI automation features | Included | Included |
Ecommerce integration | Shopify | Shopify focused |
Messaging channels | Limited | Multi-channel |
Pricing structures vary depending on message volume and store size, but many businesses find AeroChat more cost-efficient when scaling support operations.
Relish AI vs AeroChat: Real-World Use Cases
When Relish AI Works Best
Relish AI is useful for ecommerce businesses that want:
guided shopping conversations
conversational product discovery
AI-driven shopping assistance
It works well for brands with large product catalogs where customers often need help finding the right product.
When AeroChat Is the Better Choice
AeroChat is more suitable for ecommerce stores that want to automate customer service and improve support efficiency.
Common use cases include:
answering order status questions
automating shipping updates
managing return requests
guiding customers through product selection
Businesses that receive large volumes of repetitive support questions often adopt tools that automatically respond to customer messages for ecommerce websites, allowing support teams to focus on more complex issues.
Final Verdict
Both platforms provide valuable AI capabilities for ecommerce stores, but they serve slightly different purposes.
Category | Winner |
|---|---|
Conversational product discovery | Relish AI |
Ecommerce support automation | AeroChat |
Multi-channel communication | AeroChat |
Operational workflow automation | AeroChat |
Guided shopping | Relish AI |
Relish AI is well suited for brands focused on conversational product discovery.
AeroChat is the stronger option for ecommerce businesses that want a scalable solution for customer support automation, messaging integration, and operational workflows.
Stores that combine product discovery with automated support typically see the best results because customers receive instant answers without waiting for human agents.