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

Managed e-commerce services

A store is never finished. Platforms release, extensions fall behind, catalogs grow and search relevance drifts as the language shoppers use changes.

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

We run ongoing operations for stores on Adobe Commerce, BigCommerce and Shopify Plus, and for index-first stacks we or somebody else built. The arrangement is deliberately boring: a known scope, a known response time, and someone who already understands the system when something breaks.

The stack

The standing scope

Adjusted per store, but this is the shape.

01
Platform

Upgrades, dependencies and integrations

The work that is cheap when continuous and expensive when deferred — and the seams between systems, where most incidents actually happen.

  • Version upgrades planned against extension compatibility
  • Security patches applied on a schedule you can see
  • Dependency drift tracked before it becomes a migration
  • ERP, PIM and OMS connections monitored
  • Feed failures alerted rather than discovered
02
Performance

Measured on real traffic

Staging with a warm cache tells you almost nothing.

  • Core Web Vitals tracked against field data
  • Cache behaviour verified rather than assumed
  • Regressions caught against a baseline, not by report
03
Search

Relevance operations

The part that quietly decays without anyone filing a ticket.

  • Zero-result and low-conversion queries reviewed on a cadence
  • Synonyms, boosts and merchandising rules maintained
  • Index health and freshness monitored

Need a team that already knows the system?

Tell us the platform, the integrations and what has been breaking. We will propose a scope and a response time.

Search is the foundation of AI commerce