Personalized AI assistance at scale - without compromising your brand’s quality.
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.
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's Attachments in Chat lets customers upload screenshots, photos, videos, and documents directly inside the chat widget. The AI processes images with vision, extracts text, and uses visual context to resolve issues faster.
Abandoned chats clutter support queues, inflate metrics, and fire CSAT surveys into empty rooms. Alhena's Auto-Close Conversations feature automatically wraps up idle website chats with escalation-aware closing messages, helpdesk sync, and configurable timers from 5 to 120 minutes.
Most AI chatbots claim revenue but can't prove it. Alhena built a first-party attribution pipeline connecting conversations to cart events and orders. This post covers fingerprints, attribution rules, Shopify webhooks, and the data pipeline powering the Revenue Impact dashboard.
Product Review Search lets the AI Shopping Assistant search stored customer reviews during live conversations. It answers sizing, durability, and skin-type questions from real buyer feedback, turning passive reviews into an active sales tool.
Alhena AI's Discount Lookup and Active Promotions tools connect to your Shopify or BigCommerce store and answer promo code questions using live data. No stale FAQs, no hallucinated offers. This deep dive covers what each tool returns, real conversation examples, and setup steps.
Alhena's Variant Stock Refresh keeps every product variant's stock status synced with your ecommerce platform. The AI never recommends sold-out sizes, colors, or SKUs, steering shoppers to what they can actually buy.
A technical deep dive into how Alhena AI integrates with Shopify Plus: OAuth install flow, required vs optional scopes, the multi-agent architecture, product catalog sync, webhooks, and revenue attribution.
Google Gemini now lets shoppers buy Shopify products without leaving the chat. Your catalog is there whether you opted in or not. Here's what merchants lose control of, what they still own, and where on-site AI fills the gaps Gemini leaves behind.
The industry says brands need unified commerce before deploying agentic AI. But most brands run fragmented stacks and can't wait years to unify. The real answer: grounded agents that verify every fact from live systems and never hallucinate.
Real-time agent assist uses AI to surface knowledge, draft replies, and detect sentiment during live customer conversations. Learn how e-commerce brands use it to cut handle time by 56% and turn support interactions into sales.
ChatGPT is impressive in conversation but falls short as a production customer support chatbot. It hallucinates, lacks ecommerce integrations, and can't access your product data. Learn what works better for ecommerce brands.
Retail chatbots now drive product discovery, cart completion, and post-purchase support across web, email, and social. See 12 use cases, 5 case studies with hard ROI numbers, and the best platforms compared for 2026.
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.
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.