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Agent-ready search & discovery · Next.js + Elastic/OpenSearch

Commerce &
search services

query: relevance

Two decades of enterprise e-commerce delivery — strategy, migrations, integrations, and managed services across every major platform.

Get in touchElastic · relevance + speedRAG · agentic discovery
Strategy
Roadmaps & search audits on real data.
Migrations
Clean cutovers, no lost revenue.
Integrations
ERP, PIM, OMS, search wired together.
Managed
Ongoing platform & search ops.

Own your commerce data. The API takes care of itself.

Fast, AI-ready search, discovery, and commerce on Next.js + Elastic/OpenSearch — for brands whose catalogs outgrew platform-native search.

Elastic
Relevance + speed
Next.js
Modern UX + performance
RAG
Agentic discovery ready
AI Discovery Signals
Retrieval-first architecture makes agentic discovery possible.
Discovery bottlenecks

A modern, platform-less foundation for agentic commerce

SaaS commerce platforms are proven and convenient. But as brands grow, catalog complexity increases, and competition shifts toward the new AI era, many teams get handcuffed by their platform:

01
Keyword-based search fails shopper intent
Platform-native search breaks down as catalogs scale and buying journeys become discovery-driven.
02
Filtering and merchandising controls are constrained
High-SKU catalogs require enterprise-grade retrieval and ranking logic beyond standard SaaS platform capabilities.
03
App-layer complexity slows performance
As feature demands grow, third-party app stacks increase latency, cost, and maintenance burden.
04
AI features remain surface-level widgets
Without an owned retrieval foundation, agentic commerce workflows are difficult to implement.
Key takeaway
At enterprise scale, discovery is no longer UX — discovery is infrastructure.

Built on 20 Years of Enterprise Experience

For the past two decades, we’ve delivered large-scale e-commerce and enterprise CMS systems — long before the term “headless commerce” existed. 2 truths and a lie! Truth: You need a modern web stack to compete. We advocate for Next.js. Truth: You need a tremendously flexible, scalable, and performant backend based on systems capable of semantic and vector searching and RAG, to process all available AI signals. Lie: The leading e-commerce platforms can provide this. Search engines drive these features, so we build on top of that. Keeping it simple and eliminating many API layers.

— Daniel Kozlowski
Founder · Enterprise Commerce Architect
The stack

The AI Discovery Stack for Modern Commerce

We build the retrieval and storefront foundation brands need to compete on search-led conversion and AI-native shopping journeys.

01
1) Storefront

Next.js Performance Storefront Layer

High-performance, AEO-first storefront architecture built for scale — with full flexibility beyond themes and app constraints.

  • Sub-second storefront performance
  • Composable UX journeys
  • Modern frontend longevity
  • AI Guided adaptations
02
2) Retrieval

ElasticSearch Discovery & Merchandising Engine

Enterprise-grade retrieval, ranking control, and high-SKU filtering. Search becomes a conversion system — not a utility box.

  • Hybrid keyword + semantic search
  • Advanced facets + filtering at scale
  • Merchandising-driven relevance tuning
  • Automagic Variants
03
3) AI Foundation

Agent-Ready RAG Foundations

Vector + metadata retrieval pipelines that enable conversational discovery, guided selling workflows, and future agentic commerce automation.

  • RAG-ready product knowledge retrieval
  • Conversational shopping experiences
  • Autonomous merchandising foundations
  • Extndable Signal Sources (sales, customer service, web analytics ...)
Contrast

Platform Extensions vs Discovery Ownership

Most commerce agencies optimize within platform boundaries. We build beyond them — so you own discovery, retrieval, and AI readiness.

01
Comparison
Traditional SaaS / API-First Commerce
App-driven feature stacking
AI Discovery Infrastructure Approach
Owned architectural control
02
Comparison
Traditional SaaS / API-First Commerce
Theme-level customization
AI Discovery Infrastructure Approach
Next.js composable experiences
03
Comparison
Traditional SaaS / API-First Commerce
Platform-native search limitations
AI Discovery Infrastructure Approach
Elastic-powered retrieval engine
04
Comparison
Traditional SaaS / API-First Commerce
Widget-based AI add-ons
AI Discovery Infrastructure Approach
Agent-ready RAG foundations
05
Comparison
Traditional SaaS / API-First Commerce
Platform constraints
AI Discovery Infrastructure Approach
Full discovery ownership
Bottom line
SaaS platforms run transactions. We build the intelligence layer that drives discovery.
Search & Discovery Audit

Start with a Search & Discovery Audit

A two-week technical assessment that quantifies discovery upside and delivers a prioritized roadmap for Elastic/OpenSearch-powered retrieval, Next.js performance, and agent-ready foundations.

Relevance + UX diagnostics
Core Web Vitals + performance benchmark
ElasticSearch opportunity blueprint

Build the AI Discovery Infrastructure SaaS Platforms Can't Provide Natively

The future of ecommerce will be search-led, AI-driven, and agent-powered. Let’s architect the retrieval foundation that enables it.

Search is the foundation of AI commerce