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Home/ Cases/ Case 05

PDP production -94%. Conversion lift doubled.

AI-generated PDPs with human-in-the-loop approval. Catalog grew from 80 to 340 SKUs in one quarter.

IndustryDTC

SolutionContent Operations AI

ClientSpecialty DTC brand (NDA · "Harlow Proteins")

CommissionFixed fee

-94%

PDP production time

2.1×

Conversion lift vs. old PDPs

80 → 340

SKUs launched · Q

13 days → 1 day

New SKU to live

I · The Problem

What was happening.

A specialty DTC brand expanding from 80 to 340 SKUs in a single quarter to hit Q4 retail distribution. Their two-person merchandising team was shipping one PDP per day, they needed to ship thirteen.

II · What We Did

The approach.

Four-stage build

Standard house cycle, diagnose, demo, build, hand off. Timing and specifics below.

01Diagnosis.Week 1, Diagnosis. We audited their top-20 PDPs by conversion. The pattern was specific, a header claim, a scannable benefit list, a founder voice section, and a FAQ. Merchandisers were rewriting these from scratch every time.Stage 1Of four

02Demo.Week 2, Demo. We trained a brand-voice model on their 15 best PDPs. Generated 10 new PDPs from spec sheets alone. Brand director approved 8 of 10 with light edits.Stage 2Of four

03Build.Weeks 3-6, Build. Pipeline: spec sheet + lifestyle photography → PDP draft + alt text + meta description + email copy + three social posts. All brand-safe. All human-approved before publish.Stage 3Of four

04Handoff.Week 6, Handoff. Merchandising team trained. System now operates the catalog; merchandisers focus on buying and brand strategy.Stage 4Of four

III · The Outcome

What actually shipped.

The team shipped all 340 SKUs in time for Q4. Conversion lift on AI-generated PDPs was 2.1× the control, because the pipeline enforced best practices the team didn't always have time to apply. No new merch hires.

"We were going to hire three people. We spent a tenth of that on the system and it does the work better than those hires would have."

, Head of Merchandising · Harlow Proteins

IV · More Work

Other commissions.

Recent cases

Three more from the same period. Different industries, same method.

01$1.Law · Knowledge & RAG
Automated time-capture + matter summarization returned 240 partner hours a month, all of it captured and billed.Case 01Law 0211× long-form output.Media · Content Operations AI
Custom house-voice drafting pipeline. 40 pieces a month to 450 a month. Same editors, same quality bar, same brand.Case 02Media 0338% more qualified pipeline.SaaS · Revenue Operations AI
Inbound enrichment, scoring, routing, and auto-drafted follow-ups. Ops freed to work strategic accounts.Case 03SaaS

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