Kogan Deployed Salesforce AI Customer Service Agent
The Australian e-tailer integrated generative AI to manage order inquiries and automate complex support tasks.
Updated on Oct. 13, 2026 in Artificial Intelligence
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Kogan has implemented a new AI customer service agent built with Salesforce Agentforce to manage support requests. The tool is designed to reduce customer effort by handling various service tasks, including order status inquiries and warranty processing.
Why it matters
The company aimed to decrease support response times and streamline resolution for high-volume requests like order tracking. By leveraging generative technology, Kogan hopes to improve efficiency across its large product catalogue.
The AI agent handles 10 distinct service use cases and integrates with SAP to access order data for 16 million SKUs. Development of the system moved from prototype to production in just 6 weeks.
The players
Kogan
Kogan is an Australian e-tailer that manages a vast online marketplace with millions of individual stock-keeping units.
Salesforce
Salesforce is a global cloud software company that provides the Agentforce platform used to build automated customer service tools.
The details
The system utilises generative AI for image recognition, allowing it to verify physical product damage and detect fraudulent claims. It performs identity verification and provides product recommendations while using four specific Agentforce services, including NextGen Authoring and Agent Script.
Timeline
July 2026: Kogan published a blog post regarding WISMO inquiry volume.
October 2026: The AI agent moved to full production status.
The Tech Race
This deployment marks a shift away from traditional deterministic bots, which historically struggled with complex customer interactions. By automating image recognition and verification, Kogan is positioning itself to compete with international retailers that rely on AI to scale support operations.
Customers can expect faster resolutions for common issues such as checking order status or initiating returns. The system also automates the warranty claims process, potentially reducing wait times for users seeking support for damaged items.
The takeaway
Automating routine enquiries allows companies to focus human staff on more complex problems. Consumers benefit when retailers use AI to speed up transactional processes like verifying damaged goods for warranty claims.
Further reading
For more background on how companies are adopting machine learning, visit the Artificial Intelligence section.
Source note: This article includes information reported by ITnews.
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