Embeddable Agents: One AI Agent, Everywhere Your Shoppers Decide
One AI agent across every decision moment on your storefront. Not five point tools from five vendors. One brain, one snippet, more revenue.
Personalized AI assistance at scale - without compromising your brand’s quality.
One AI agent across every decision moment on your storefront. Not five point tools from five vendors. One brain, one snippet, more revenue.
Today we are announcing Alhena Headless. E-commerce leaders who use Alhena can now connect their own Claude or ChatGPT account directly to their Alhena workspace and ask anything they want about their store, their customers, and their operation, all in
Introducing AI Visibility: Alhena's new product helping e-commerce brands monitor, optimize, and measure how their products appear across AI search, agentic shopping, and AI-powered discovery.
We built a unified memory layer that gives AI agents a continuous understanding of each customer across every touchpoint. One memory, everywhere. Every conversation picks up where the last one left off.
The handoff cliff appeared in 4 of 15 live AI agents Alhena tested. Escalation is a strength. Escalating without context is worse than having no AI at all.
Alhena found answer-only fallback in 10 of 15 live deployments in 2026, the most common failure in the study. The conversation stayed in channel, so containment looked healthy.
Alhena logged seven failure patterns across 15 live AI CX deployments. Answer-only fallback led at 10 of 15. Six of the seven trace to missing architectural layers.
Most 'AI' in health and wellness retail is back-office or clinical, not a shopping agent. This dated census verifies who's actually live (Thorne's Taia, HUM's Holly, Vitamin Shoppe, Hims, Grüns), who only announced intent, and who has no public assistant at all, with the evidence for each.
Wellness AI agents convert LLM-referred traffic at 4.68%, nearly double the cross-vertical average. But that measures a traffic source, not your agent. A three-tier model separating engagement, attribution, and incrementality, plus how subscription economics change the math.
Deploying an AI agent for a supplement or wellness brand is a sequence of design decisions, not a plug-in. This playbook covers the six that matter: knowledge grounding, the FDA claims boundary, quiz-to-conversation personalization, subscription flows, human escalation, and measurement.
The handoff cliff appeared in 4 of 15 live AI agents Alhena tested. Escalation is a strength. Escalating without context is worse than having no AI at all.
Alhena found answer-only fallback in 10 of 15 live deployments in 2026, the most common failure in the study. The conversation stayed in channel, so containment looked healthy.
Alhena logged seven failure patterns across 15 live AI CX deployments. Answer-only fallback led at 10 of 15. Six of the seven trace to missing architectural layers.
Native helpdesk AI makes agents faster inside the inbox. Commerce-native AI resolves the actual ecommerce problem by connecting to orders, products, policies, and cart data. This guide breaks down the core differences and gives ecommerce teams a 10-point checklist for choosing the right AI.
Product launches spike support volume 10x overnight. Here is how AI handles waitlists, limited drops, preorder questions, and launch-day support surges, with checklists, real brand results, and setup steps for your next launch.
Alhena AI's Intercom integration adds an ecommerce intelligence layer behind Intercom Messenger. Keep your existing setup and add product-aware AI responses, order lookups, revenue attribution, and guided recommendations to every conversation.
A technical, under-the-hood look at Embeddable Agents: how a single snippet puts a focused AI shopping assistant on the product page, what the AI does differently for an embed, and the gotchas worth knowing before you ship.
AI chatbot compliance is the blind spot most ecommerce brands miss. If you sell skincare, supplements, or wellness products, your AI needs to know the line between a compliant response and a technically correct one that kills the sale and invites regulatory risk.
Most ecommerce AI runs on one model powering one bot. Multi-model selection and multi-agent orchestration fix this by matching the right model and the right specialist to every interaction.