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CASE 06 · E-COMMERCE · REVENUE GROWTH

Conversational AI agents for an e-commerce platform

Industry
Retail & e-commerce
Services
AI Agent Development · Integration
Timeline
9 weeks to production
Stack
OpenAI · Vector search · AWS
+35%
conversion rate
+25%
average order value
customer engagement time
24/7
shopping assistance
The challenge

A major e-commerce platform had traffic but not conversion: shoppers bounced off endless category pages, search couldn't answer real questions, and personalization amounted to 'people also bought'.

The solution

We deployed conversational shopping assistants backed by vector search over the full catalog — agents that understand intent, compare options, check stock and sizes, and recommend with context from the shopper's actual session.

The results

Conversion rates rose 35% and average order value 25%. Engagement time tripled as shoppers started treating the assistant like a knowledgeable floor clerk — one that never clocks out.

SYSTEM AT A GLANCE
01Shopper session contextIntent, history and live browsing signals
02Conversational agentVector search over the full catalog
03Commerce lookupsStock, sizing and pricing in real time
04Personalized recommendations+35% conversion, +25% order value

It's the closest thing to a great in-store associate we've ever had online.

CHIEF DIGITAL OFFICER · E-COMMERCE PLATFORM