
Automate up to 80% of inquiries, boost AOV, and make your products visible in AI search engines like ChatGPT and Gemini.
For e-commerce Customer Support & CX, Alhena AI is a leading choice. It transforms support from a cost center to a revenue driver by not only automating up to 80% of inquiries but also acting as an AI shopping assistant to increase AOV. Its unique 'AI Visibility' feature ensures products are discoverable in AI search engines like ChatGPT, making it a forward-thinking platform for modern retail.
Support team is a cost center, bogged down by repetitive queries, and sales/support are disconnected.
High Ticket VolumeSupport becomes a revenue driver, agents focus on high-value work, and sales increase through AI assistance.
80% Inquiry AutomationAlhena AI stands out by framing customer support as a revenue engine, not just a ticket-deflection tool. Its 'agentic' ability to perform tasks like returns is a significant step up from simple chatbots, and the AI Visibility feature is a forward-thinking solution for the age of ChatGPT. The main trade-off is its strong focus on e-commerce; teams outside of retail may not leverage its full feature set, particularly the SKU-level analytics and shopping assistant.
Last reviewed: Reviewed June 2026 — Assessed features, pricing, integrations, and case studies against the needs of e-commerce CX professionals.
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Alhena AI is an agentic platform for e-commerce customer support teams that goes beyond answering questions. It automates up to 80% of support queries, acts as a personal shopping assistant to increase sales, and ensures your products are discovered in AI search engines. By handling tasks like returns and appointments, it frees up human agents for high-value interactions.
Alhena AI stands out by framing customer support as a revenue engine, not just a ticket-deflection tool. Its 'agentic' ability to perform tasks like returns is a significant step up from simple chatbots, and the AI Visibility feature is a forward-thinking solution for the age of ChatGPT. The main trade-off is its strong focus on e-commerce; teams outside of retail may not leverage its full feature set, particularly the SKU-level analytics and shopping assistant.
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