Case Study

GenAI Copy Engine

Large Athletics Retailer (Fortune 500)

January – June 2025

Executive Summary

A Fortune 500 athletics retailer replaced agency copywriting with an in-house GenAI Copy Engine embedded in "Lexi 2.0," its next-generation marketing platform.

In six months the program delivered transformational results across cost, quality, and speed metrics.

Program Outcomes

Agency spend avoided
$1.9M annual run-rate
Budget vs. prior SOWs
Writer productivity
+15% words/hr
Time-and-motion sampling
Copy availability
28% → 100% on wholesale PDPs
Analytics audit
Speed-to-market
12-day copy bottleneck eliminated
WIP tracker
Cart-add rate (A/B)
+5 – 10%
Adobe & Optimizely, p < 0.01
Influenced revenue
Est. $24M uplift/yr
Finance model

The Challenge

  • High vendor spend: $1.9M/yr outsourced to third-party copy shops.
  • Late launches: 11% of PDPs missed seasonal deadlines by > 12 days.
  • Inconsistent voice: Multiple partners diluted brand tone & SEO quality.
  • Scalability ceiling: Hundreds of new SKUs each season overwhelmed human writers.

Objectives

KPITargetStatus
Vendor spend vs. baseline–$1.8M/yr
Copy coverage wholesale/SNKRS> 95% by end-of-season
Copy turnaround time< 48 hrs from SKU brief
ATC lift (PDP A/B)≥ +5%
Writer NPS+20 pts

Solution Architecture

GenAI Micro-service (Python + Vertex AI)

Template-guided prompts generate outline → draft → tone-polish.

Lexi 2.0 Integration

New "Create > Wholesale Copy" flow triggers GenAI, surfaces in rich editor, auto-publishes to PIM & the ecommerce platform.

Governance Layer

Brand-voice rules, policy & restricted-term filters, PE Langchain evaluation.

Feedback Module

Writers embed 3-click rating; low-score samples auto-retrain nightly.

Observability

Datadog dashboards on latency, hallucination, acceptance rate.

Results

MetricBaselinePost-launchΔNotes
Agency spend$1.9M$0–100%Contract retired
Copy SLAs hit72%100%+28 ppFY25Q2 audit
Writer output1.01.15×+15%Words per hour
ATC lift+8.9% (mid)p < 0.0150/50 PDP split
Revenue influence$24M/yrModel, Finance

Business Impact

  • Cost avoidance: $1.9M vendor run-rate + $1.26M FTE hires averted.
  • Revenue upside: Incremental $24M if deployed across Women's & Men's apparel globally.
  • Creative capacity: ~120 copy-hours/collection freed for storytelling.
  • Platform reuse: Same GenAI service now piloting for Retail & Packaging copy.

My Role — Lead Program Manager, GenAI

Product Strategy

Authored vision & KPI stack; aligned Marketing, Ops, Legal, Tech.

Road-mapping & Delivery

Ran two-week sprints; hit MVP in 10 weeks, full rollout by week 24.

Technical Orchestration

Defined prompt-engineering standards, evaluation harness, and P1 guardrails.

Change Management

Built writer playbooks, live trainings, and feedback loops; drove 95% adoption in 30 days.

"The GenAI Copy Engine turned a costly bottleneck into a scalable advantage—delivering brand-perfect copy at the speed of sport."

What's Next

  • Expand to .com & Retail PDPs → coverage goal 100% by FY26.
  • Real-time A/B optimizer → dynamic headlines by geo-locale.
  • Multilingual models → 7 EU languages, zero-shot benchmarking in progress.

For more GenAI program details, contact Andrew

andrew@andrewhallberg.com

Andrew Hallberg

Andrew Hallberg

Senior Program Manager – AI @ Microsoft | Co-Founder & CTO @ HirelyAI

Andrew leads cross-functional AI and digital commerce programs at Microsoft and co-founded HirelyAI, a GenAI-native hiring platform. He specializes in AI program management, product strategy, and ethical AI implementation.