/case-studies / retail-genai-shopping-copilot
GENERATIVE AI & COPILOTS

An AI shopping copilot that lifts conversion for a fashion retailer

client
Fashion Retailer
industry
Retail
services
Generative AI · Web
duration
4 months
fig.80// skillikzmodeltraininfervectorAImodel.evalrollout76%98%accuracyusage86coveragelive
// OVERVIEW

Fashion Retailer — a retail organisation — engaged Skillikz on ai shopping copilot: A grounded GenAI assistant that helps shoppers find the right product, fast. This case study sets out the business challenge, the AI-led approach we took, the technologies involved and the measurable outcomes delivered over 4 months.

// TECHNOLOGIES
RAGClaude / GPT-4Next.jsPythonVector DBAzure OpenAI
+18%
conversion
engagement
-25%
support tickets
grounded
in catalogue
01 // THE CHALLENGE

Shoppers struggled to navigate a large catalogue, and generic search returned poor matches — depressing conversion and flooding support with sizing and styling questions.

02 // OUR APPROACH

We built a shopping copilot grounded in the live product catalogue, with natural-language search, styling guidance and clear citations to real products.

RAG over the live product catalogue and policies
Streaming, mobile-first conversational UX
Guardrails to keep answers on-brand and in-stock
Experimentation framework to measure uplift
03 // THE RESULTS

The copilot lifted conversion by 18%, tripled on-site engagement and deflected a quarter of routine support contacts — all grounded in real catalogue data.

Customers finally feel guided, not lost. The copilot pays for itself in conversion alone.

Director of Digital · Fashion Retailer
// HOW WE'D DELIVER THIS TODAY

The AI services behind this outcome

A project like this draws on a focused set of Skillikz services — from first assessment to a working pilot and a clear path to scale.

// MORE WORK
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