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Case study · Retail & Ecommerce · GenAI

$118M in assisted sales at a luxury retailer — clienteling copilot for store associates

A global luxury retailer's clienteling program depended on a handful of top associates and vanished when they left. pronix.ai built a clienteling copilot that captured client memory and drafted brand-safe outreach — $118M in assisted sales attributed in year one.

Client
Global luxury retailer, 340 stores
Industry
Retail & Ecommerce
Platform
Salesforce Commerce Cloud · Salesforce Marketing Cloud · Azure OpenAI
By pronix.ai CX Engineering7 min readQ1 2026
$118M
Attributed assisted sales (year 1)
3.4x
Outreach per associate per week
-58%
New-associate time to first assisted sale
0
Brand-tone or consent violations

*Representative outcome; results vary by client, scope and platform configuration.

The challenge

Client memory lived in top-associate notebooks. When those associates left, the client relationship left with them. New associates had no ramp path into clienteling, and outreach risked brand tone violations.

Our approach

Step 01

Client memory graph

Structured client preferences, prior purchases, sizes, life events and consent state into a queryable memory the associate owned.

Step 02

Brand-tone drafting

Copilot drafted outreach messages in the house voice — associates edited and sent, never wrote from scratch.

Step 03

Consent-first outreach

Every outreach checked against explicit consent state — privacy regulations and brand policy — before it could send.

Step 04

Appointment intelligence

Suggested appointment moments — birthdays, drop launches, prior-purchase anniversaries — with brand-appropriate framing.

Step 05

Associate ramp track

New associates followed a guided clienteling ramp — hit senior-tier outreach quality by month three.

For Chief Client OfficerFor VP RetailFor CMO

Illustrative case study. Scenarios, metrics, quotes and client details are representative composites based on Pronix engagements and industry benchmarks unless a named client is shown with written consent. Outcomes vary by client, scope, data quality and platform configuration. Nothing on this page is a guarantee, warranty or professional advice. See our Terms of Use for the full disclaimer.

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