Personalized AI assistance at scale - without compromising your brand’s quality.
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.
Fashion shoppers want clarity. They want guidance that feels personal. They want help choosing pieces that work together without needing to speak to a stylist. This shift is now shaping how apparel brands think about product discovery and conversion, with
Alhena announces the launch of a flagship new product - Alhena Voice.
Stop selling AI for cost savings. Agentic AI is transforming customer touchpoints into growth moments. Learn how Revenue CX is driving the new buyer stack.
AI search recommends 3-5 brands per query. The top brand captures 62% of visibility. This 90-day roadmap shows ecommerce brands how to move from tracking AI Share of Voice to owning their entire product category across ChatGPT, Perplexity, and Google AI Overviews.
A competitive AI visibility audit reveals where your brand appears in ChatGPT, Perplexity, and Google AI Overviews compared to competitors. Learn the 5-step framework to measure AI share of voice, uncover gaps, and win in AI search.
The online eyewear market hit $41.7 billion but 86% of purchases still happen in-store. AI is closing the gap with prescription scanning, frame fit recommendations, and virtual try-on that cut returns by 28% and boost conversions by 21%.
Rep AI is a strong Shopify chatbot, but it's limited to one platform and one channel. Alhena AI deploys across Shopify, WooCommerce, and more with omnichannel support, agentic checkout, and hallucination-free accuracy. Here's the full comparison.
Sequential A/B tests on your AI shopping assistant take months and miss interaction effects. Multivariate testing reveals which variable combos actually drive revenue. Covers factorial design, Taguchi arrays, sample sizing, and reading results without false positives.
AI agents recommend your products but fail to complete the purchase. This guide covers the purchase execution layer: merchant trust signals, checkout friction scoring, payment authentication, and how to make your store completable.
A five-stage technology framework for ecommerce AI maturity: Reactive, Responsive, Proactive, Autonomous, and Orchestrated. Includes a 10-question self-assessment quiz, performance benchmarks for each stage, team structure implications, and migration paths to advance.
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.
Most AI chatbots silently degrade after launch because nobody built a QA program. This guide covers the Audit-Test-Govern model: team structure, six test categories, quality scoring rubrics, and the governance policies every ecommerce brand needs to keep AI accurate in production.
DTC and ecommerce brands use Discord for their most engaged customers, but communities grow faster than teams can moderate. Alhena AI's Discord bot answers from your knowledge base, learns from admin replies, and handles ticketing without leaving Discord.
A step-by-step guide for ecommerce CX leaders to connect web chat, email, Instagram DMs, WhatsApp, Facebook Messenger, Slack, and Discord through one AI platform with a single shared knowledge base. Includes channel selection guidance, a four-week deployment timeline, and unified analytics.
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.
Most AI pilots fail because of vague goals and bloated scope. This 5-step guide shows ecommerce leaders how to run a focused, low-risk AI pilot that produces a clear decision in 4 to 8 weeks.
Most AI chatbots degrade as products and policies change. Alhena AI self-improves from every interaction using auto-generated FAQs, human feedback loops, Guideline Studio, Conversation Debugger, and Smart Flagging.