AI-Powered Commerce Experiences
The Challenge
Two things are happening at once, and most merchants are only being sold the first one.
The first is on-site: search that can’t handle a typo, a recommendation block that shows every visitor the same four products, a chatbot that loops customers through three standard answers before they give up and message you on WhatsApp. These are solvable and worth solving.
The second is bigger, and almost nobody in this region is talking about it yet. Customers are starting to shop through AI assistants that read your store rather than browse it. Shopify’s own agentic commerce work and the emergence of AI-driven checkout mean discovery is beginning to happen outside your storefront entirely, in a conversation where an assistant compares options and recommends one.
Stores with clean, LLM-readable product data get surfaced in that conversation. Stores with thin descriptions, missing attributes, and inconsistent metafields don’t. This isn’t a future problem you can address later, because the structural work takes months, and the merchants doing it now are the ones who’ll be visible when it matters.
Our Process
Data first, features second.
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Discovery
We identify where friction sits in your customer journey, and separately, how ready your product data is to be read by an AI agent.
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Data Foundation
Product data structure, attributes, and metafields cleaned and organized.
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Feature Build
Search, personalization, and support automation implemented against your actual catalog.
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Testing
Relevance and accuracy testing before launch, including query testing in both Arabic and English.
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Monitor and Refine
Ongoing review as the catalog grows, behavior shifts, and the agentic commerce standards themselves evolve.
What’s Included
Ready for shoppers, and for their assistants.
Agent-Ready Product Data
Structured product information, complete attributes, and consistent metafields so your catalog can be read, understood, and recommended by AI shopping assistants.
AI-Enabled Smart Search
Search that understands intent: handling typos, synonyms, and mixed Arabic-English queries.
Product Recommendations
Trained on real browsing and purchase behavior across your catalog, updating as behavior changes.
Personalized Shopping Journeys
Returning customers see a storefront shaped by what they’ve already shown interest in.
Support Automation
Automated handling for the questions that repeat all day (order status, sizing, stock, return policy), trained on your policies and catalog, with clean handoff to a person the moment a query goes beyond what it should answer alone.
Behavior-Triggered Campaigns
Abandoned cart, browse abandonment, and post-purchase timing driven by what a customer did, feeding directly into the retention work under Full-Service Digital Growth.
Customer Behavior Insights
Visibility into how customers move through your store, feeding back into merchandising, design, and growth decisions.
FAQs
Questions & answers
Isn’t Shopify adding this natively?
Some of it, and we’ll tell you when it covers your needs.
What is agentic commerce?
Customers shop through an AI assistant that finds, compares, and buys for them. Your product data is either clean enough to be recommended in that conversation, or you don’t get mentioned.
Is it real yet, or hype?
Early, and we’d rather say so. But the prep work takes months and improves your search, filtering, and merchandising today regardless. The prep work is essential to have a future-proof data structure.