How to Set Up Pre-Orders on Shopify Without the Confusion
Learn how to set up pre-orders on Shopify with or without an app, plus tips for managing payments, inventory, and customer expectations.
AI agents are starting to take on a bigger role in ecommerce, and not just in the background. They can answer questions, guide shoppers, handle routine support, and sometimes move parts of the buying process forward without constant human input. In a busy store, that kind of help can make a real difference, especially when customers expect quick answers at odd hours.
This list looks at AI agents used in ecommerce and the different ways they fit into online retail. Some are built around support. Others focus more on product discovery, conversions, or automation across several touchpoints. The useful part is not the label itself, but what the system actually helps a store do day to day.

Extuitive provides AI agents designed to support ecommerce teams in managing ad creation, testing, and campaign execution. Our platform connects directly to Shopify stores, analyzing product data and generating ad creatives including copy, images, videos, and pricing variants. Rather than relying on trial-and-error campaigns, it uses a brand-specific predictive model trained on historical performance and large-scale consumer intelligence to forecast which ads are most likely to achieve higher engagement and return on ad spend. Human oversight remains part of the process, ensuring final creative decisions align with the brand’s goals.
Our system is built around the principle of polyintelligence, blending human intuition, platform data, and modeled consumer behavior to make predictions before any ad spend occurs. This allows creative and growth teams to collapse traditional feedback loops from weeks to minutes, focusing only on high-confidence concepts while filtering out underperforming ideas. Forecasts are dynamic, updating as campaigns run, so our platform captures what works and makes those insights reusable for future campaigns. By shifting advertising from experimentation to prediction, teams can reduce wasted budget, accelerate creative testing, and improve overall campaign efficiency.

Netomi offers AI agents focused on customer service and ecommerce interactions. The platform uses situational intelligence to interpret queries, take context-aware actions, and complete tasks without manual input. Agents operate with policy compliance and brand alignment, ensuring responses follow defined rules while maintaining accuracy and relevance.
AI agents provide real-time support with human oversight when needed, surfacing insights, preferences, and next steps for efficient resolution. Teams can track agent decisions, review reasoning paths, and maintain visibility into all interactions. The platform supports multiple channels and scales to enterprise requirements while keeping brand voice and safety consistent across customer touchpoints.

Regal focuses on AI agents for high-consideration ecommerce operations, particularly for voice and messaging interactions. Agents handle customer calls, messages, and digital chats with natural conversation flow, allowing interruptions and topic changes. The system connects to existing contact centers and CRM software for real-time personalization.
The platform offers tools for building, customizing, and testing AI agents. Teams can set goals, monitor live interactions, and apply A/B testing to refine responses. Regal supports omnichannel deployment including web, phone, and messaging, letting agents scale across all communication points while maintaining consistency and efficiency.

Gorgias provides AI agents built specifically for ecommerce stores. Agents combine customer support and sales functions, offering instant answers, order modifications, and workflow automation while adhering to brand rules. The platform integrates with Shopify and other ecommerce platforms to manage product and order data in real time.
AI agents handle up to 60% of customer interactions autonomously, covering queries, returns, and subscription edits. The system is trained on each store’s catalog and policies from day one, providing consistent, on-brand responses. It also enables proactive engagement through chat campaigns that maintain shopper attention and guide purchases.

Skara deploys AI agents across multiple channels to provide sales and support for ecommerce. Agents qualify leads, answer product questions, manage bookings, and execute follow-ups without human intervention. They support voice, chat, messaging, and social platforms with multilingual capabilities.
As a rule, this platform emphasizes rapid deployment and training, letting teams sync knowledge bases and product catalogs instantly. Agents adapt to brand tone, policies, and conversation style while providing real-time insights into performance. Basically, Skara is designed to increase conversions, average order value, and productivity by handling repetitive and complex customer interactions efficiently.

Tidio offers AI agents for ecommerce that focus on aligning automation with human support. Agents handle up to 67% of conversations, providing instant, accurate responses in the brand’s voice while preserving customer trust. The platform integrates with popular tools and ecommerce platforms for seamless interaction management.
AI agents can be trained on verified data sources and configured with custom guidance. Mainly, teams can scale their operations without replacing human agents, using AI to manage routine tasks while humans focus on complex interactions. Tidio supports proactive automations, workflow organization, and advanced task execution to improve both sales and support outcomes.

Lety.ai is an AI agent platform for ecommerce stores running on Shopify and WooCommerce. It works inside those environments and focuses on a mix of shopper assistance, instant support, and backend task handling. Basically, the platform is framed as a ready-to-use layer rather than something that requires a long setup, which makes it more about practical store operations than custom development.
Its ecommerce role covers both customer-facing and internal workflows. Shoppers can get personalized help during the buying process, while the platform handles repetitive work such as order tracking, inventory-related tasks, and WhatsApp-based sales support. That gives it the shape of an operational AI agent rather than a simple chat widget.

Klaviyo AI Customer Agent is built as a shopping assistant for ecommerce brands that want product guidance and support inside the same flow. It trains on catalog data, help documents, and customer profiles, which lets it answer shopping questions with more context than a generic support bot. This platform is closely tied to browsing behavior, past purchases, and channel activity, so its role is not just answering questions but helping move customers toward checkout.
A strong part of the product is how it connects service and personalization. It covers product questions, order status, and common shopping issues, while using customer data to tailor recommendations and support across web chat, SMS, and email. When a case needs human involvement, the handoff carries context forward, which keeps the experience more consistent from one step to the next.

Zowie is a customer AI agent platform built for handling customer-facing workflows across chat, email, voice, and social channels. In ecommerce, it is designed to execute actual business processes such as order placement, refunds, and returns instead of stopping at basic answers. The platform puts a lot of emphasis on conversation as the interface, so customers describe what they need and the agent follows the right process behind the scenes.
Another defining part of Zowie is control over execution and quality. It uses business logic, system integrations, and deterministic flows to keep actions auditable and aligned with company rules. Teams can build, monitor, coach, and improve agents in one platform, which makes it feel less like a chatbot tool and more like an operational layer for customer service and commerce actions.

Fin is an AI agent for customer service that works across chat, email, social, and voice. For ecommerce teams, it can handle order updates, refunds, returns, subscription changes, and basic troubleshooting when connected to the right systems. Its structure is built around policy control, workflow execution, and multi-step task handling, so it fits stores that need more than a simple answer bot.
What stands out is the way the platform combines testing, deployment, and improvement inside one loop. Fin can be trained on procedures, knowledge, and policies, then tested in simulated conversations before going live. Once active, it runs across channels and feeds performance data back into the system, which makes it suitable for ecommerce support teams that want tighter control over how the agent behaves in real service situations.

Chatbase is an AI agent platform for ecommerce and retail support, built around instant product answers, order assistance, and policy-based customer communication. It trains on product pages, shipping rules, returns content, FAQs, and support material so the agent can answer in line with what the business actually offers. In ecommerce settings, that makes it useful across the full order lifecycle, from pre-purchase questions to post-purchase support.
A more operational side of the platform comes through its workflow layer. Chatbase supports custom actions that connect the AI agent to existing systems, which allows it to check order status, trigger returns, look up subscriptions, or create support tickets with full context. Model flexibility, multi-channel deployment, and feedback-based answer revision make it closer to an automation platform than a static chatbot builder.

Botpress approaches ecommerce AI agents as flexible systems that can be used across support, product recommendation, cart recovery, upselling, and order operations. Instead of focusing on one narrow use case, it presents ecommerce as a strong environment for automation because many store processes follow clear rules and can connect to external systems. That makes the platform useful for teams that want to build agents around several commerce tasks rather than only support chat.
Its value comes from how broadly the agent can be integrated into the store experience. Botpress can connect with payment tools, storefront platforms, CRMs, and synced knowledge bases, which allows it to assist with returns, inventory questions, delivery updates, and personalized recommendations. For stores with large catalogs or more detailed product selection paths, that flexibility can matter as much as the chat experience itself.
AI agents are starting to look less like a side feature and more like part of how ecommerce runs day to day. Some help shoppers find the right product. Some handle support work that used to sit in crowded inboxes. Others go further and take action across orders, returns, subscriptions, or backend workflows. The useful difference is not the label - it is how much real work the system can actually carry without making the customer experience feel cold or clumsy.
What stands out across this space is how wide the category has become. One platform may be closer to a sales assistant, another to a service desk, and another to an operations layer that happens to talk like a person. That is why choosing one is rarely about picking the most advanced-looking tool. It is more about finding the kind of agent that fits the store - the questions customers ask, the systems already in place, and the amount of control the team wants to keep.