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The Alhena Blog: Agentic AI for Transformational Customer Experiences

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What Changes After a Product Data Fix? A 90-Day AI Visibility Test

Imagine a cabinet that is 58 cm wide. Its product page lists 64 cm, the width of the shipping box. A shopper asks an AI assistant for a cabinet under 60 cm wide. Your product meets that requirement, but the published specification gives the assistant a reason to leave it out.

Your merchandising team catch...


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AI Shopping Assistants vs. AI Buyer Agents: Who Represents Whom?

A sales associate and a personal shopper can recommend the same jacket. That does not make them the same kind of adviser.

One starts with the store’s collection. The other starts with the shopper’s brief. They can agree on the purchase while bringing different knowledge, incentives, and responsibilities to ...


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Your Store Has Two Audiences Now: Human Shoppers and AI Buying Agents

Imagine two shoppers looking for a weekend bag.

One opens your website, explores the photography, compares colours, and asks whether the shoulder strap is comfortable. The other asks an AI assistant to find a bag that fits a particular airline’s cabin limit, arrives before Friday, and costs less than $...


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Agentic Commerce Protocols: Cut Through the Acronym Noise (MCP, A2A, ACP, UCP & AP2)

Ask anyone in tech how to prepare your store for AI shoppers, and you will get hit with a wall of capital letters: MCP, A2A, ACP, UCP, AP2. Add a messy architectural diagram full of random arrows, and it is easy to leave the room feeling like you have a massive new integration backlog with...


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A traveler asks an AI assistant for a carry-on bag that meets strict cabin dimensions. Your product makes the shortlist. They click through, review the specifications and buy.

Come Monday, the ecommerce team wants answers. Which AI tool sent the visit? Where did the shopper land? Did checkout record the purchase correctly? Getting clear answers comes down to careful cho...


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