Australian E-commerce Stores Saving 20% on Customer Support with AI
AI workflows for e-commerce customer support automation
Mirai Team
June 6, 2026
Australian e-commerce stores are increasingly turning to Artificial Intelligence (AI) to streamline their customer support operations, resulting in significant cost savings. By automating routine inquiries and tasks, businesses can reduce their customer support expenditure by up to 20%. This is particularly important for online retailers, where the lack of face-to-face interaction can lead to a higher volume of customer queries. For instance, a mid-sized e-commerce store in Australia can receive over 1,000 customer support emails per month, with many of these inquiries related to order tracking, product information, and return policies.
Introduction to AI-Powered Customer Support
The integration of AI workflows into customer support operations enables e-commerce businesses to provide 24/7 support to their customers, while also reducing the workload of human customer support agents. This is achieved through the use of chatbots, which can be programmed to respond to frequently asked questions and route complex issues to human agents. Additionally, machine learning algorithms can be used to analyze customer data and provide personalized product recommendations, improving the overall shopping experience.
Benefits of AI Automation
The benefits of AI automation in customer support are numerous. For example, AI-powered chatbots can respond to customer inquiries in real-time, reducing the average response time from several hours to just a few minutes. This not only improves customer satisfaction but also increases the efficiency of customer support operations. Furthermore, AI automation can help e-commerce businesses to scale their customer support operations more easily, without the need to hire additional staff.
A great example of the successful implementation of AI-powered customer support is the Australian online retailer, The Iconic. By integrating an AI-powered chatbot into their website, The Iconic was able to reduce their customer support response time by 50% and increase their customer satisfaction ratings by 20%. The chatbot was able to handle routine inquiries, such as order tracking and product information, allowing human customer support agents to focus on more complex issues.
Implementing AI Workflows
Implementing AI workflows into customer support operations requires careful planning and execution. E-commerce businesses must first identify the areas of their customer support operations that can be automated, such as routine inquiries and tasks. They must then select an AI automation platform that can integrate with their existing customer support software and provide the necessary tools and features to automate these tasks. For instance, some popular AI automation platforms for customer support include Zendesk, Freshdesk, and Salesforce.
Choosing the Right AI Automation Platform
When choosing an AI automation platform, e-commerce businesses must consider several factors, including the platform’s ability to integrate with their existing customer support software, its ease of use, and its scalability. They must also consider the platform’s machine learning capabilities, as this will enable the platform to learn from customer data and improve its performance over time. Some popular AI automation platforms for customer support offer pre-built integrations with popular e-commerce platforms, such as Shopify and WooCommerce, making it easier to integrate AI-powered customer support into their operations.
Measuring the Success of AI Automation
To measure the success of AI automation in customer support, e-commerce businesses must track key performance indicators, such as response time, customer satisfaction, and support ticket resolution rate. They must also monitor the performance of their AI-powered chatbots, including their accuracy rate and conversation completion rate. By tracking these metrics, businesses can identify areas for improvement and make data-driven decisions to optimize their AI-powered customer support operations.
For example, a mid-sized e-commerce store in Australia can track the following metrics to measure the success of their AI-powered customer support:
- Response time: 2 hours to 10 minutes
- Customer satisfaction: 80% to 95%
- Support ticket resolution rate: 70% to 90%
- Chatbot accuracy rate: 85% to 95%
- Conversation completion rate: 80% to 95%
Overcoming Common Challenges
While AI automation can bring numerous benefits to customer support operations, there are also common challenges that e-commerce businesses must overcome. For instance, some customers may be hesitant to interact with AI-powered chatbots, preferring to speak with human customer support agents instead. To overcome this challenge, businesses can provide clear instructions on how to use the chatbot and offer the option to escalate complex issues to human agents.
To take the first step towards saving 20% on customer support with AI, Australian e-commerce stores can start by:
- Identifying areas of their customer support operations that can be automated
- Selecting an AI automation platform that integrates with their existing customer support software
- Monitoring key performance indicators to measure the success of their AI-powered customer support operations These actionable next steps can help Australian e-commerce stores to streamline their customer support operations, reduce costs, and improve customer satisfaction.
Ready to implement this in your business? Mirai deploys AI automation for SMBs across the US, UK, Canada, and Australia — typically in under a week.
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Written by Mirai Team
The Mirai team builds AI automation systems for Western SMBs. We write about what we're building, what we're learning, and what's actually working.