eazyware
Use case

Real-time product recommendations

Personalize product discovery across homepage, cart, and email at sub-50ms latency.

Overview

A multi-tier recommendation system combining collaborative filtering, semantic search, and LLM-powered personalization. Serves recommendations across web, email, and app with explainable reasoning and real-time event integration.

Key questions we answer during scoping
  • How do we balance personalization vs. cold-start for new users?
  • What's the right latency budget at each surface?
  • How do we test without degrading current conversion?
  • How do we explain recommendations for compliance?
Reference timeline
10–14 weeks
Investment
$120k–220k
Best for
  • 50k+ products
  • Existing event data
  • Multi-surface distribution
Typical outcomes

What shipping this looks like.

+23%
AOV
+19%
retention
42ms
p95 latency
Reference stack

The typical tools for this use case.

Every engagement picks the right tool for your context — these are defaults, not prescriptions.

AWS PersonalizeVertex AISegmentRedisEmbeddings
/ Next step

Thinking about real-time product recommendations?

Book a 30-minute scoping call. We'll tell you what shipping this looks like for your context.

~4h
avg response
Q2 '26
next slot
100%
NDA on request