Online shopping is entering a new phase. Instead of browsing websites and manually comparing products, consumers are now relying on AI agents that can research and even complete purchases on their behalf.
This is called agentic commerce, and it’s gaining momentum across retail, SaaS, travel, and B2B markets. According to IBM, 45% of consumers already use AI at some point in the buying journey. Forecasts suggest that this new sector could even generate between $3 trillion and $5 trillion annually by 2030.
If you want these AI agents to suggest your brand to customers, you need to work with one of these 12 specialized agencies. They’ll help you optimize for AI-powered discovery, shopping assistants, and autonomous purchasing experiences.
Table of Contents
1. Avenue Z
Avenue Z combines strategy, data, and AI-driven optimization to position brands in emerging AI shopping ecosystems.
They focus on making your product information machine-readable and refining conversion paths for your customers. Their team also combines technical SEO, content systems, and testing frameworks to align your brand with how AI evaluates and recommends options.

| Location: | New York, NY |
| Employees: | 51-100 |
| Industries: | Consumer Brands, Tech, Finance, Health/Wellness, eCommerce, Fintech, Media |
| Specialties: | AI Search Optimization, Agentic Commerce, Search Engine Optimization |
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2. Presta
Presta approaches agentic commerce from a technical angle rather than a marketing layer. They rework product data, site architecture, and APIs so AI agents can reliably read, compare, and surface products.
They also make commerce systems “agent-ready” with the help of clean data modeling and headless builds that remove friction between storefronts and AI systems. On top of this, Presta builds and tests AI-friendly storefronts designed for discovery in AI tools, not just traditional search or browsing.

| Location: | Belgrade, Serbia |
| Employees: | 11–50 |
| Industries: | Technology, Information, and Internet |
| Specialties: | Business and Web Strategy, Concept and Development, Web/Mobile Development, UX/UI, QA/Testing, Support |
3. Mgroup
Mgroup approaches agentic commerce through the foundations of a Shopify store instead of just surface-level optimization. They restructure Shopify themes, product data, and storefront architecture so AI agents can accurately surface your products inside AI tools.
The work extends into Shopify-specific implementation. That includes semantic product structuring, schema markup, and checkout flows that stay consistent across both human and AI-driven purchases.

| Location: | LaGrange, GA, U.S. |
| Employees: | 11-50 |
| Industries: | Hospitality, Multifamily, Broader Professional Market |
| Specialties: | Shopify Development, AI Ecommerce, CRO, Technical SEO, AI Search, Shopify Plus |
4. Charle
Charle focuses on fixing the signals agents rely on: structured product feeds, clean schema, consistent attributes, and clear catalog logic. This makes it easier for AI systems to understand what a product is, when it fits a request, and why it should be surfaced over alternatives.
On top of that, Charle builds AI-focused SEO and GEO strategies. This allows them to align content, technical setup, and eCommerce structure, boosting visibility in both traditional search and AI-driven discovery.

| Location: | London, U.K. |
| Employees: | 11–50 |
| Industries: | Technology, UI, Web Design |
| Specialties: | High-End Design, Custom Headless Experience |
5. XgenTech
XgenTech builds agentic commerce readiness directly into Shopify Plus stores. They make your catalogs readable for AI agents through structured data, clean schema, and optimized product feeds.
On the implementation side, they connect these upgrades with Shopify workflows, APIs, and automation layers. This way, the storefronts can stay consistent across human browsing and AI-driven discovery.

| Location: | New York City, NY, U.S. |
| Employees: | 11–50 |
| Industries: | Enterprise Commerce, Large-Scale Operations |
| Specialties: | Enterprise AI Integration, Scalable Systems |
6. Identixweb
Identixweb approaches agentic commerce through Shopify-first infrastructure instead of a standalone AI layer.
They specialize in tightening the underlying Shopify setup. That means creating clean product feeds, structured attributes, and system integrations that reduce friction when agents pull information for recommendations or comparisons.

| Location: | Surat, India |
| Employees: | 51–200 |
| Industries: | Shopify, eCommerce |
| Specialties: | GenAI Tools, Rapid Implementation |
7. Master of Code Global
Master of Code Global builds agentic systems that actually execute tasks in different AI environments, not just chat.
These agents plug directly into eCommerce systems to handle product discovery, customer questions, and shopping flows. Plus, it’s all connected to live store data like catalogs, pricing, and checkout so they can respond and act in real time instead of relying on static information.

| Location: | Redwood City, CA, U.S. |
| Employees: | 201-500 |
| Industries: | Retail/eCommerce and Broader Enterprise Use Case |
| Specialties: | AI Consulting, AI Chatbot Development, Conversational AI, CRM Integration, Generative AI, AI Agents, Voice Solutions |
8. Stackline
Stackline is closer to a full retail operating system than a traditional agency or point solution. As they handle data, analytics, media, content, pricing, and operations, brands can manage their entire eCommerce lifecycle in one place.
In terms of agentic commerce, this tool makes catalogs, pricing, reviews, and inventory readable for AI systems. They also add execution layers like ads, SEO, and retail media automation so the AI agents aren’t pulling from static insights.

| Location: | Seattle, WA, U.S. |
| Employees: | 201-500 |
| Industries: | Retail, Commerce, Analytics |
| Specialties: | AI-Enabled Intelligence, Shopper Analytics, Media Automation, Forecasting, Content Optimization |
9. Ekimetrics
Ekimetrics builds AI-driven models that track how products perform across channels and then adjust pricing, media spend, and targeting accordingly. This helps brands stay visible and competitive when AI agents decide what to recommend in shopping journeys.
It also connects forecasting and marketing mix modeling to real-time decisions. This way, the campaigns and budgets can adjust faster based on demand patterns that influence AI-led discovery and conversion.

| Location: | Paris, France |
| Employees: | 201–500 |
| Industries: | Marketing, Customer Analytics, Sustainability, ESG |
| Specialties: | Data Science, AI Consulting, Marketing Mix Modeling, Data Engineering |
10. Vue.ai
Vue.ai cleans product catalogs, tags attributes, and organizes data so AI systems can understand what a product is, who it’s for, and when to surface it during shopping journeys.
On top of that, they connect this structured data to personalization and automation systems. As a result, the AI recommendations and customer journeys adjust automatically as discovery and buying behavior change.

| Location: | Redwood City, CA, U.S. |
| Employees: | 201-500 |
| Industries: | Retail, eCommerce |
| Specialties: | Product Tagging, Catalog Enrichment, Personalized Recommendations, Virtual Try-On, AI Styling, Image Generation |
11. Duvo.ai
Duvo.ai places its AI agents inside the operational layer of retail and supply chains. These agents handle tasks like order processing, inventory checks, and supplier coordination across disconnected systems.
As a result, product availability and pricing remain up to date in real time, allowing AI systems to recommend or purchase products on behalf of users. This also helps brands reduce manual exceptions and workflow bottlenecks.

| Location: | Prague, Czech Republic |
| Employees: | 11-50 |
| Industries: | Retail Operations |
| Specialties: | AI-Native Automation, Agents for ERP/SAP, Supplier Management, Demand Planning, Promotions |
Partner With the Best Agencies for Agentic Commerce
As AI agents take on a larger role in product discovery and purchasing decisions, brands will need to rethink how they attract and convert customers. These 12 agencies can help businesses prepare for that shift with their AI expertise.
Luckily, Avenue Z has all the strategic expertise and innovation needed to help brands compete in this new era of digital commerce. Contact the team now to get started.
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