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.
Brands that deploy the same AI behavior across all channels feel off on every channel except the one they tuned for. Channel-scoped guidelines let you configure how your AI communicates on each platform without changing the underlying brand voice.
Generic AI chatbots give the same response regardless of channel, time, or customer context. This guide covers the trigger-action guideline system that lets ecommerce brands control exactly how their AI behaves on Instagram, email, WhatsApp, and web chat without retraining the model.
Most ecommerce AI sounds the same: polite, helpful, and characterless. The three-element framework of Identity, Tone, and Situational Guidelines turns a generic chatbot into one that sounds like your brand.
The first 30 days after deploying an AI shopping assistant are the highest-leverage tuning window you'll ever get. This week-by-week playbook covers exactly what to monitor, correct, refine, and optimize so your AI reaches 80%+ automation instead of plateauing at 50%.
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.
Ecommerce brands collect customer data everywhere but connect it nowhere. A customer data platform unifies identity across every channel and device. Connected to conversational AI, it turns fragmented data into real-time 1:1 shopping experiences that drive revenue.
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 ecommerce chatbots respond with plain text product names and bare links, forcing shoppers to leave the conversation. Rich product cards display images, pricing, ratings, and add-to-cart buttons inside the chat, turning conversations into visual storefronts that convert 3x higher.
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.
The AI disclosure debate is settled by regulation, but how you disclose determines whether transparency helps or hurts conversion. Four disclosure approaches with copy templates, an A/B testing framework, and why hallucination-free accuracy makes transparency a competitive advantage.
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.