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Customer Support Agents
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Alhena AI

Hallucination-free AI shopping assistant and customer support agent that automates customer inquiries while improving conversion rates and average order value for online stores

Starting at$1.10 per conversation
Visit Alhena AI →
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In Plain English

Hallucination-free AI shopping assistant and customer support agent that automates customer inquiries while improving conversion rates...

OverviewFeaturesPricingGetting StartedUse CasesLimitationsFAQ

Overview

Alhena AI is a Customer Support Agents platform that combines a hallucination-free shopping assistant with automated post-purchase support and revenue attribution analytics, with usage-based pricing starting at $1.10 per conversation. It targets mid-market and enterprise ecommerce brands—particularly Shopify merchants—seeking to scale customer interactions without expanding headcount.

The platform's core differentiator is a zero-hallucination architecture: every response is grounded exclusively in verified product catalog data, brand policies, and order management system records, eliminating the fabricated answers that plague general-purpose chatbots. Alhena reports an 80% query deflection rate while maintaining customer satisfaction scores between 85% and 90%, and provides dollar-level revenue attribution so merchants can trace conversions directly back to specific AI conversations. Published case studies from recognizable brands including Victoria Beckham, Tatcha, and Manawa report conversion rate lifts of 20–300% and average order value increases of 20–38% following deployment.

The AI shopping assistant handles natural-language product discovery, guiding shoppers from vague intent ('I need a moisturizer for dry skin') through to checkout with personalized recommendations. On the support side, it autonomously resolves order status inquiries, returns processing, shipping questions, and product information requests, escalating complex or sensitive cases to human agents with full conversation context attached. Alhena uses a multi-agent architecture where specialized models handle different interaction types—sales guidance, post-purchase support, and brand voice consistency—coordinated through a central orchestration layer. Setup integrates directly with existing product feeds, order management systems, and knowledge bases, with sub-48-hour deployment timelines and no developer resources required.

Based on our analysis of 870+ AI tools in the aitoolsatlas.ai directory, Alhena occupies a distinct niche compared to general-purpose customer support platforms like Zendesk AI, Intercom Fin, and Ada. Where those tools serve broad customer service use cases across SaaS and B2B, Alhena is purpose-built for ecommerce with native commerce-aware features—revenue attribution, catalog grounding, and shopping-assistant flows—that horizontal platforms typically lack. In 2026, Alhena expanded beyond on-site interactions into AI visibility optimization, a service designed to increase the likelihood that external AI assistants like ChatGPT, Gemini, and Perplexity recommend a brand's products when consumers ask for shopping advice.

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Key Features

Hallucination-Free AI+

Every AI response is constrained to information sourced from your verified product catalog, order management system, and approved knowledge base. The system will not generate speculative or fabricated answers; when it lacks verified information to address a query, it escalates to a human agent. This is particularly critical for ecommerce, where incorrect product specifications, pricing errors, or policy misinformation can lead to returns, chargebacks, and brand damage.

AI Shopping Assistant+

Functions as an always-available sales consultant that interprets natural-language queries ('waterproof hiking boots under $200 for wide feet') and returns relevant product recommendations from your catalog. The assistant guides customers through product comparison, answers specification questions in real time, and supports checkout completion. Published case studies report conversion rate improvements of 20–300% and average order value increases of 20–38%.

Revenue Attribution Analytics+

Tracks the revenue impact of every AI conversation, linking specific product recommendations and interaction patterns to completed purchases. This granular attribution enables merchants to identify which AI-driven conversation flows generate the most revenue and optimize accordingly. Based on our analysis of 870+ AI tools, this level of per-conversation revenue tracking is uncommon among customer support AI platforms, most of which report only deflection metrics.

Automated Customer Support+

Resolves approximately 80% of incoming customer inquiries without human intervention, covering order status lookups, returns initiation, shipping updates, product information, and policy questions. Unresolved or sensitive cases are escalated to human agents with full conversation context and customer history attached, eliminating the need for customers to repeat themselves after a handoff.

AI Visibility Optimization+

A newer 2026 capability that optimizes your product catalog and brand content for discovery by external AI assistants such as ChatGPT, Gemini, and Perplexity. As consumers increasingly use AI tools for product research and purchase recommendations, this feature positions brands to capture traffic from conversational AI search—an emerging channel that operates differently from traditional SEO and paid advertising.

Pricing Plans

Usage-Based

$1.10 per conversation

  • ✓Hallucination-free AI shopping assistant
  • ✓Automated customer support across order status, returns, and shipping
  • ✓Revenue attribution analytics per conversation
  • ✓Sub-48-hour Shopify integration
  • ✓Brand voice training and customization

Enterprise

Custom pricing

  • ✓Volume-based discounts for high-traffic stores
  • ✓Multi-agent architecture with specialized sales and support models
  • ✓AI visibility optimization for ChatGPT, Gemini, and Perplexity
  • ✓Dedicated implementation and customer success manager
  • ✓Advanced revenue attribution and custom analytics dashboards
  • ✓Priority human-agent escalation routing and SLAs
See Full Pricing →Free vs Paid →Is it worth it? →

Ready to get started with Alhena AI?

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Getting Started with Alhena AI

  1. 1Book a demo through the Alhena website to discuss your specific use case and requirements
  2. 2Complete the 48-hour integration process with your ecommerce platform and data sources
  3. 3Train the AI on your brand voice, product catalog, and customer service policies during onboarding
Ready to start? Try Alhena AI →

Best Use Cases

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Mid-market Shopify brands with 500–5,000 daily customer interactions looking to automate support without hiring additional agents, particularly those selling complex or configurable products where shoppers benefit from guided discovery

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Luxury and premium DTC brands that cannot tolerate AI hallucinations—fabricated product claims, incorrect pricing, or off-brand messaging—and need guaranteed factual accuracy in every automated customer interaction

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Ecommerce businesses experiencing high cart abandonment rates that want an AI shopping assistant to engage hesitant buyers with personalized product recommendations and real-time answers during the consideration phase

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Online retailers expanding into omnichannel support across web chat, email, and social media who need consistent, brand-aligned AI responses without managing separate tools for each channel

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Ecommerce marketing teams seeking to attribute revenue directly to AI-driven interactions, enabling data-driven optimization of which product recommendations, conversation flows, and response strategies generate the most sales

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Forward-looking brands wanting early-mover advantage in AI-assisted product discovery by optimizing their catalog presence for recommendations by ChatGPT, Gemini, and Perplexity

Limitations & What It Can't Do

We believe in transparent reviews. Here's what Alhena AI doesn't handle well:

  • ⚠Heavily dependent on the quality, completeness, and structure of product data and knowledge base content—sparse or poorly organized catalog data will directly degrade response quality and recommendation relevance
  • ⚠Usage-based pricing scales linearly with conversation volume, which can make costs unpredictable for stores with seasonal traffic spikes or high browse-to-buy ratios
  • ⚠Purpose-built for ecommerce and retail workflows; businesses outside of online retail (SaaS, professional services, B2B) will find limited applicability
  • ⚠Effectiveness of brand voice training depends on the clarity and consistency of brand guidelines provided during setup—vague or contradictory inputs produce generic-sounding outputs
  • ⚠AI visibility optimization is an emerging and unproven channel with limited industry benchmarks, making ROI difficult to forecast compared to established marketing channels

Pros & Cons

✓ Pros

  • ✓Zero-hallucination guarantee grounds every response in verified catalog and policy data, reducing brand risk from fabricated answers
  • ✓Revenue attribution traces individual AI conversations to actual purchases, giving clear ROI visibility that most competitors lack
  • ✓Sub-48-hour deployment on Shopify without developer involvement lowers the barrier for non-technical ecommerce teams
  • ✓Multi-agent architecture separates sales guidance from support resolution, allowing each function to be optimized independently
  • ✓Published case studies from recognizable brands (Victoria Beckham, Tatcha, Manawa) show 20–300% conversion lifts and 20–38% AOV increases
  • ✓AI visibility optimization addresses an emerging channel—getting products recommended by ChatGPT, Gemini, and Perplexity—that few competitors cover

✗ Cons

  • ✗Usage-based pricing at $1.10 per conversation can become expensive at high volumes, especially for low-margin or high-traffic stores with many non-purchasing visitors
  • ✗Performance is heavily dependent on the quality and completeness of product data and knowledge base content fed into the system during setup
  • ✗Primarily optimized for ecommerce and retail verticals, making it a poor fit for SaaS, B2B, or non-retail customer support use cases
  • ✗Limited public documentation on customization depth—brands with highly specialized workflows or complex conditional logic may find the out-of-box capabilities constraining
  • ✗Smaller ecosystem and fewer third-party integrations compared to established customer support platforms like Zendesk or Intercom

Frequently Asked Questions

How does Alhena AI guarantee zero hallucinations?+

Alhena constrains its AI responses to information sourced exclusively from your verified product catalog, order management system, and brand knowledge base. Unlike general-purpose language models that generate answers from broad training data, Alhena's architecture only surfaces facts it can trace back to your approved content. If the AI cannot find a verified answer to a customer's question, it escalates to a human agent rather than guessing. This approach trades some conversational flexibility for factual accuracy, which is critical in ecommerce where incorrect product claims can cause returns, chargebacks, or legal issues.

How long does it take to set up Alhena, and do I need developers?+

Alhena advertises a sub-48-hour setup timeline for standard Shopify integrations, and the process is designed to be completed without dedicated developer resources. The platform connects to your existing product feed, order management system, and any knowledge base or FAQ documentation you maintain. You will need to provide brand voice guidelines and review the AI's initial responses during a training period, but the technical integration itself is handled through pre-built connectors rather than custom code. More complex setups involving multiple sales channels, custom APIs, or legacy systems may take longer.

What does the $1.10 per conversation pricing actually cover?+

The $1.10 per-conversation fee covers a complete customer interaction from start to resolution, whether that involves product discovery, order status checks, returns processing, or a combination within a single session. This usage-based model means you pay proportionally to the volume of AI-handled interactions rather than committing to a fixed monthly seat count. For businesses with lower support volumes, this can be more cost-effective than subscription platforms, but high-traffic stores should model their expected conversation volume carefully, as costs scale linearly. Enterprise plans with different pricing structures are available for larger deployments.

Can Alhena handle complex support cases or does it only answer simple FAQs?+

Alhena handles a range of support tasks beyond basic FAQs, including real-time order status lookups, initiating returns and exchanges, processing shipping inquiries, and providing detailed product comparisons based on customer needs. The platform claims to autonomously resolve approximately 80% of incoming customer inquiries, with reported customer satisfaction scores between 85% and 90%. For the remaining 20%—cases that involve edge situations, emotional customers, or policy exceptions—the system escalates to human agents with the full conversation transcript and relevant context attached, so the agent does not have to ask the customer to repeat information.

How does Alhena's AI visibility optimization work?+

AI visibility optimization is Alhena's newer offering that focuses on increasing the chances that external AI assistants—such as ChatGPT, Google Gemini, and Perplexity—recommend your products when consumers ask for shopping advice through those platforms. This is distinct from traditional SEO; it involves structuring your product data, brand content, and web presence in ways that AI models are more likely to surface during conversational product recommendations. As more consumers use AI assistants for purchase research, this channel is becoming a meaningful source of discovery traffic, and Alhena positions itself as an early mover in optimizing for it.
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What's New in 2026

In 2026, Alhena launched AI visibility optimization, a service designed to increase the likelihood that external AI assistants like ChatGPT, Google Gemini, and Perplexity recommend a brand's products in conversational shopping queries. This expands Alhena beyond on-site customer interactions into the emerging channel of AI-assisted product discovery, positioning the company as an early mover as more consumers shift purchase research to conversational AI platforms.

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