PVH is rolling out ChatGPT Enterprise to speed creative workflows, improve demand forecasts and tailor customer engagement. Designers get faster briefs and concept iterations; operations teams streamline planning and supplier communication; marketers personalise journeys—delivering innovation with strong governance and measurable impact across brands like Calvin Klein and Tommy Hilfiger.

What’s New & How It Works

Design acceleration. AI assists with trend synthesis, brief drafting, colour/material narratives, and first‑pass copy for product pages—while designers retain final creative control.

Merchandising & planning. Analysts use AI to summarise sales signals, cluster styles, and scenario‑plan assortments by region/channel.

Supply chain optimisation. Teams draft PO updates and vendor communications, standardise tech‑pack summaries, and generate exceptions reports to reduce delays.

Consumer engagement. Marketers produce on‑brand variants of emails/ads, summarise customer feedback, and localise content—anchored to first‑party guidance and approvals.

Enterprise guardrails. Role‑based access, zero‑retention options, prompt security patterns, and audit logs ensure safe deployment.

Practical Rollout (Step‑by‑Step)

1. Identify 6–8 high‑value workflows (2–3 weeks)
   E.g., design briefs, trend summaries, line‑review notes, vendor updates, demand‑planning notes, campaign copy.

2. Build an enablement pack
   Approved prompts, brand/tone guides, compliance phrases, and examples by brand/region. Add retrieval from approved knowledge bases.

3. Integrate lightly, then deepen
   Start with copy‑paste + file exports; later connect PLM, PIM, DAM, and planning tools; add calendar/meeting note connectors for automatic summaries.

4. Human‑in‑the‑loop & QA
   Require designer/merchant approval before publishing; maintain red‑flag categories (claims, sustainability, pricing) for specialist review.

5. Measure & iterate
   Track cycle times, accuracy, engagement and cost. Run A/B tests on content; rotate prompt champions inside each function.

Example Use Cases

• Design: Brief from a moodboard or runway recap; AI drafts colour story, silhouette notes and initial product descriptions.

• Merch: Summarise last season’s sell‑through and returns; propose an assortment tweak for key doors/markets.

• Sourcing: Draft supplier emails and tech‑pack digests; generate shipment exception summaries.

• Marketing/CRM: Create on‑brand email variants by market; summarise UGC reviews into product copy improvements.

Risks & Governance

• Accuracy & claims: Ground outputs in approved data; prohibit unsupported sustainability/fit/performance claims.

• IP & licensing: Respect fabric/print IP; keep licensed‑brand approvals in the loop.

• Data protection: Limit PII in prompts; apply DLP; use zero‑retention; log usage.

• Change control: Pin model versions; maintain prompt libraries; quarterly evaluation with gold‑set tasks.

FAQs

How will AI impact fashion design at PVH?
By accelerating briefs and concept iteration—freeing designers to refine silhouettes, materials and storytelling.

What benefits does AI bring to the supply chain?
Faster communication, clearer exceptions reports, and better scenario planning reduce delays and rework.

How does AI improve consumer engagement?
Personalised content and rapid testing lift relevance and conversion while staying on‑brand via approved prompts and tone.

KPIs & Measurement

• Design: time‑to‑brief, first‑draft quality score, sample cycle time.

• Merch/Planning: forecast‑error delta, line‑review cycle time, SKU rationalisation.

• Supply Chain: exception resolution time, PO change latency, on‑time delivery.

• Marketing/CRM: open/click/convert, content production time, localisation speed.

• Risk/Compliance: % outputs with human review; policy violations per 1,000 generations.