That Was AI vs Customer.io Summer Release
Side-by-side comparison of features, pros & cons, pricing, and community votes (2026).
🏆 Customer.io Summer Release leads with 153 upvotes
AI phone support that works like a human, for Shopify brands
That Was AI is an innovative AI-powered phone support solution specifically designed for Shopify brands looking to enhance customer service. It mimics human-like interactions, answering customer calls and performing a wide range of support actions such as updating orders, changing shipping addresses, processing cancellations and refunds, creating support tickets, and transferring calls to human agents when necessary. Its quick setup process allows businesses to implement the system within minutes, making it a practical choice for busy e-commerce teams seeking to streamline customer communication without sacrificing quality. By integrating seamlessly with Shopify, That Was AI offers a scalable, efficient, and cost-effective way to handle high call volumes, improve customer satisfaction, and reduce support workload.
Pros
- Human-like AI interaction providing a natural customer experience
- Quick and easy setup process, minimizing onboarding time
- Automates a wide range of support tasks, reducing manual workload
- Seamless integration with Shopify platforms
- Transfers calls to human agents when necessary for complex issues
Cons
- Limited information on customization options and AI accuracy
- Potential limitations in handling highly complex or nuanced inquiries
- No publicly available pricing details, which could affect budget planning
Best for
- • Handling incoming customer calls for order updates and inquiries
- • Processing cancellations and refund requests automatically
- • Updating shipping addresses and order details on the fly
- • Creating support tickets from customer calls for follow-up
Pricing: Likely operates on a subscription-based model with tiered plans, possibly including a free trial or basic tier, and paid plans starting around a few hundred dollars per month depending on call volume and features.
New ways to reach customers in the moments that matter
Customer.io Summer Release marks a significant expansion of the platform's capabilities, enabling businesses to engage customers at critical moments with unprecedented precision. The update introduces enhanced triggers, new surfaces, and multi-channel outreach options such as geofencing, Live Notifications, and flexible SMS integrations. Notably, the platform now offers improved WhatsApp management and smarter AI-driven features, making customer engagement more personalized and timely across channels. Designed for marketers, product teams, and customer engagement managers, Customer.io’s latest release aims to streamline multi-channel communication from a single platform, reducing complexity while increasing reach and relevance. Its versatile features make it ideal for companies seeking to deliver highly targeted, real-time messages that boost retention, conversions, and customer satisfaction.
Pros
- Expanded multi-channel engagement including geofencing, WhatsApp, and notifications
- Smarter AI features for personalized messaging and automation
- Unified platform for managing email, SMS, and notifications
- Enhanced trigger options for precise customer targeting
- User-friendly interface with advanced customization capabilities
Cons
- Potential complexity for new users due to extensive features
- Pricing may be higher for small businesses or startups
- Learning curve associated with new functionalities
Best for
- • Triggering location-based notifications via geofencing
- • Sending real-time alerts and Live Notifications
- • Personalized messaging through improved WhatsApp management
- • Automating multi-channel campaigns for customer onboarding
Pricing: Pricing details are not explicitly provided, but Customer.io generally offers tiered subscription plans, likely including a freemium or trial option, with paid plans starting at a level suitable for mid-sized organizations. Costs typically scale based on contact volume and feature access.