Agentic commerce

AI Commerce: Personalization, Search and Pricing with AI for eCommerce

Your customers already shop with AI. ChatGPT recommends products, Google shows agentic results, Shopify connects catalogs with autonomous agents. The question isn't whether agentic commerce is coming. It's whether your platform is ready.

Agentic Commerce 1:1 Personalization Semantic search Dynamic pricing Shopify · commercetools · VTEX
+43%Conversion
20Years
ISO 27001Certified
4.9Clutch

The Problem

97% of retailers already invest or plan to increase their investment in AI. In LATAM, only 1 in 3 retail chatbots understands natural language.

The gap isn't intent — it's execution. You have your customers' data, the transactions, the search history. But your platform uses it for reports, not for real-time decisions.

You don't need another platform. You need yours to talk to the AI agents already buying on behalf of your customers.

Sources: 97% of retailers investing in AI: Amperity, 2025 State of AI in Retail · 1/3 of LATAM chatbots with NLP: Google Cloud & R/GA, Retail Garage 2026

01

Amazon personalizes every pixel. Each visitor sees a different store, optimized in real time by behavior, history and purchase probability. Personalization stopped being a differentiator and became the floor.

02

Shopify connects catalogs directly with ChatGPT. Since March 2026, Agentic Storefronts expose the catalog to AI agents that buy on behalf of the consumer. The storefront no longer talks only to people.

03

commercetools launched Sphere. Infrastructure for autonomous agents to operate at machine speed. The ACP and UCP protocols are becoming the standard. In LATAM, almost no one is getting ready.

You don't need to replace your platform. You need someone to prepare it for what's coming.

Who it's for

For commerce teams that measure results, not features.

DIR

eCommerce Director / Head of Digital

Conversion

Lift conversion without relying on more ad spend

1:1 personalization, search that understands intent, recommendations that convert. Results in 8 weeks, not 8 months.

CTO

CTO / VP Engineering

Integration

AI that integrates with my stack, not replaces it

APIs that talk to your headless, models that run in your cloud, data that never leaves your infrastructure. No vendor lock-in.

CEO

CEO / CFO

ROI

An AI roadmap with projected ROI

What it costs, what it generates, in how long. No buzzwords. With business metrics: AOV, conversion, LTV, cost per order.

Four pillars of agentic commerce

Four capabilities. One goal: your platform sells more with less friction.

01

AI Personalization

Every visitor sees a different store. Behavior-based recommendations, dynamic content by segment, 1:1 experiences that scale without manual intervention. Personalized recommendations are the highest revenue-impact feature in modern ecommerce. The difference isn't in the model — it's in how deeply it integrates with your catalog, history and checkout.

  • Recommendation engines trained on your sales data
  • Dynamic content: banners, descriptions, catalog ordering
  • Predictive segmentation: what they'll buy, when, at what price
  • Automatic A/B testing with continuous optimization
02

Intelligent Search & Discovery

Your current search engine is losing sales. Semantic search understands intent, not just keywords. "Something to run in when it rains" returns rain jackets and trail shoes, not umbrellas.

  • Semantic search with embeddings over your catalog
  • Visual search: the customer uploads a photo, finds the product
  • Smart autocomplete ranked by purchase probability
  • Conversational search: chat as a discovery channel
03

Dynamic Pricing

The right price isn't the lowest. It's the one that maximizes margin without losing the sale. AI adjusts prices in real time based on demand, competition, inventory and buyer behavior.

  • Price elasticity models by SKU and segment
  • Promotion optimization: what discount, to whom, when
  • Competitive pricing with automatic market monitoring
  • Demand forecasting for inventory planning
04

Agentic Commerce

Consumers will stop browsing stores. Their AI agents will do it for them — comparing prices, checking availability, completing purchases. Your storefront needs to talk to those agents. Shopify already connects catalogs with ChatGPT; commercetools launched Sphere. LATAM hasn't caught up. That's the opening.

  • Agentic Storefronts: your catalog accessible to ChatGPT, Google AI Mode, Copilot
  • Integration with ACP (OpenAI/Stripe) and UCP (Google/Shopify) protocols
  • AI shopping assistants embedded in your storefront
  • Conversational checkout: from question to purchase without leaving the chat

Your stack. Our AI.

Agnostic by conviction. We integrate AI into the platform you already have — we don't ask you to migrate.

We don't sell a platform. We inject intelligence into yours. We work with the stacks that dominate enterprise commerce and we know where each one needs AI and where it already has it.

Commerce Platforms

  • Shopify / Shopify Plus
  • commercetools
  • VTEX
  • BigCommerce
  • HCL Commerce

Cloud Infrastructure

  • AWS
  • Google Cloud
  • Microsoft Azure
  • MongoDB

AI Models

  • OpenAI
  • Anthropic
  • Vertex AI
  • Open source

Search SaaS or custom engineering?

Constructor, Coveo, Algolia solve 80%. We solve the other 20% — the part that decides whether you win or you're just one more.

SaaS search and personalization platforms are good. We use them when they make sense. But when you need models trained on your proprietary data, integrations the SaaS doesn't cover, or a pricing engine that reflects your real business logic — that's where engineering comes in.

Criterion SaaSConstructor, Algolia… EdgeboundCustom
Time to production 2–4 weeks 8–20 weeks
Proprietary data Limited to the SaaS model Models trained on your data
Complex integrations Standard APIs Custom: ERP, PIM, CRM, legacy
Custom pricing engine Not available Ad-hoc business logic
Agentic commerce Roadmap Implementation today
Vendor lock-in Yes (annual contracts) Your code, your infrastructure
Recurring monthly cost $5K–$50K/mo by GMV Infra cost, no license

We're not anti-SaaS. If Constructor or Algolia solve your case, we'll tell you. We charge for solving problems, not for selling licenses.

Measurable results

We don't talk about "digital transformation." We talk about metrics your CFO understands.

Metric Before With AI Impact
Conversion 2–3% 3.5–4.5% +43% average
AOV (average order value) Base +13% Pricing + recs
IT costs Base −30% Automation
Successful search rate ~60% >85% Semantic search

Ranges based on industry benchmarks (Dynamic Yield, McKinsey, Baymard Institute) and our own projects. Results vary by platform, vertical and data maturity.

Our live demo

We don't ask you to take our word for it. Ask anything.

Ask AI is the chatbot running on this site. It's not a product we sell: it's a working demonstration of what we build. It uses RAG over our knowledge base, understands conversational context and is connected to our services.

It's the same kind of architecture we implement for commerce platforms: language models + your catalog + business rules + integration with your stack. The difference is you can try this one right now.

The process

From assessment to production in 8–20 weeks. No surprises.

Week 1–3 — Discovery

We audit your platform, data and purchase flows

We identify where AI delivers measurable impact and where it doesn't make sense. We deliver a roadmap with projected ROI.

Week 4–6 — Architecture Design

How AI integrates with your stack

We define which models, which data and which APIs. We design the architecture to scale without depending on a vendor.

Week 7–16 — Implementation

2-week sprints with working demos

Each sprint delivers measurable value. Gradual rollout: we start with one flow, validate metrics, scale.

Ongoing — Operate

Monitoring, retraining and optimization

We retrain with new data and measure revenue impact every month. If something isn't improving, we iterate.

Security & compliance

ISO/IEC 27001:2022 certified. Your customer and transaction data never leaves your infrastructure.

ISO/IEC 27001:2022 certification Certified management system

Commerce handles sensitive data: cards, addresses, purchase history. We don't experiment with that. Our ISO 27001 certification isn't a marketing badge — it's an external audit that validates how we handle your customers' information.

Data processed in your cloud, not in ours.

Fine-tuned models that don't share data between clients.

Complete audit logs for compliance.

PCI DSS compatible for payment integrations.

Your commerce platform already has the data. We give it the intelligence.

We start with an architecture conversation. 30 minutes where we assess your stack, identify opportunities and tell you whether it makes sense to work together. No sales pitch. No vendor deck.

20 years of digital commerce. AI that runs in production, not in slides.