Retail / Fashion

Optimizing the in-store shopping experience with AI-powered knowledge management

Client
Levi's
Industry
Retail / Fashion
01Client and problem

In-store stylists needed to navigate 7+ systems to manage purchases, inventory, returns, security and more.

02What CWX delivered

STITCH, an AI knowledge assistant that answers across knowledge bases and SOPs in seconds, on a RAG workflow.

03What changed

An early pilot boosted stylist productivity and reduced time to sale, and Levi’s moved STITCH toward a wider store rollout.

01

Highlights

CWX built STITCH, an AI-powered knowledge assistant that helps Levi's store associates access detailed answers across multiple physical and digital knowledge bases and standard operating procedures (SOPs) in seconds.

02

The challenge

In-store stylists needed to navigate 7+ systems to manage purchases, inventory, returns, security, and more.

03

The solution

CWX built “STITCH” to help store associates access detailed answers across multiple physical and digital knowledge bases and standard operating procedures (SOPs) in seconds.

People: stylists and store associates. Process: purchases and returns, inventory management. Technology: a chatbot user interface, a vector knowledge base, a RAG workflow and BigQuery datasets.

04

The implementation process

An early pilot boosted stylist productivity and reduced time to sale, and Levi's moved STITCH toward a wider store rollout.