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Скачать или смотреть AI in Retail: How to Fix Visual Merchandising & Store Operations | Expert Panel 2026

  • Pazo
  • 2025-11-17
  • 44
AI in Retail: How to Fix Visual Merchandising & Store Operations | Expert Panel 2026
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Описание к видео AI in Retail: How to Fix Visual Merchandising & Store Operations | Expert Panel 2026

THE RETAIL CRISIS & THE AI SOLUTION

Join retail executives from Target, Giorgio Armani, Estée Lauder, LVMH, and Hugo Boss as they reveal why retail is stuck in a death spiral—and how AI is breaking the cycle.

This isn't another "AI hype" discussion. This is real implementation, real results, and real transformation from brands managing 1,000+ stores.

━━━━━━━━━━━━━━━━━━━━━━
EXPERT PANELISTS
━━━━━━━━━━━━━━━━━━━━━━

SAM KWON - Moderator
Managing Director, Door Open LLC
Former: Target (Strategy & Innovation), Macy's, Ralph Lauren, West Elm
Current: Meta Reality Labs (Wearables & Metaverse - Telco Channel)

ALICIA PROCTOR
Visual Merchandising & Store Design Consultant
AP Visual Experience
Former: Executive Director VM & Store Design - Estée Lauder Companies, LVMH, L'Oréal Luxe, Dermalogica
Board Member: Retail Design Institute (NY Chapter)
Experience: 6,000+ counters managed, 132-page guideline books, 5x annual rollouts

KENNY ANDERSON
Chief Operations Officer, Gotham NYC
Former: Senior VP & GM (Buying & Planning) - Giorgio Armani
Former: Americas VM, Retail Planning & Buying - Hugo Boss
Specializes in: Fashion, Home Goods, Wellness, Cannabis, Fragrance

SHARJEEL AHMED
Co-Founder & CEO, Pazo AI
20 years IT industry experience
Former: Microsoft, Adobe
Built: AI-first retail operations & VM platform
Website: www.gopazo.com

NITIN RAVI
Vice President, Global Business Development, Pazo AI
Leads: Customer-facing operations & partnerships
Experience: Working with Victoria's Secret, Jockey, Bata, CBRE
Focus: Regional merchandising & operational excellence

━━━━━━━━━━━━━━━━━━━━━━
RESULTS DISCUSSED
━━━━━━━━━━━━━━━━━━━━━━

BEFORE AI:
❌ 50-60% planogram compliance (no visibility)
❌ Manual folder systems for photo review
❌ Hours spent verifying store execution
❌ 1-2 months for complete audit cycles
❌ No KPIs for frontline workers
❌ Human fatigue = missed compliance issues

AFTER AI (Pazo Implementation):
✅ 98% planogram consistency across stores
✅ Automatic verification in seconds
✅ 60-76% reduction in manual errors
✅ Audit time cut by 50%
✅ Real-time compliance dashboards
✅ Measurable performance metrics for staff
✅ Gamification & reward systems for teams

REAL CLIENT RESULTS:
→ Clinique North America: +50% holiday sales (VM excellence)
→ Moisture Surge 72 Launch: +55% YoY
→ Gotham: Faster execution with leaner teams
→ 1,000+ store retailers: Seamless management via single platform

━━━━━━━━━━━━━━━━━━━━━━
TOPICS COVERED
━━━━━━━━━━━━━━━━━━━━━━

Visual Merchandising:
• Why VM teams are being eliminated
• The art & science of product orchestration
• Guideline creation & execution challenges
• Regional consistency across store formats
• Inventory-driven merchandising strategies

Store Operations:
• Managing lean teams effectively
• Eliminating redundancies that don't add value
• Technology adoption & change management
• Empowering frontline staff as business owners
• RFID, task management, compliance tracking

AI Implementation:
• How AI verifies planogram compliance
• Customizable thresholds (70%, 80%, 95%+)
• Photo verification without human review
• Managing by exceptions (not micromanaging)
• Integration with existing retail systems
• Future: CCTV integration (pilot phase)

Change Management:
• Getting teams to adopt digital tools
• Gamification for engagement
• Rewarding compliance & execution
• Moving from manual SOPs to digital workflows
• Building a data-driven culture

━━━━━━━━━━━━━━━━━━━━━━
WHO SHOULD WATCH THIS?
━━━━━━━━━━━━━━━━━━━━━━

✔️ Retail Operations Directors & VPs
✔️ Visual Merchandising Leaders & Teams
✔️ Regional & District Managers
✔️ Store Managers (Multi-unit operators)
✔️ Retail Brand Presidents & CEOs
✔️ Merchandising Planners & Buyers
✔️ Store Design & Experience Teams
✔️ Retail Technology Decision Makers
✔️ Franchise Operations Leaders
✔️ Anyone managing 5+ retail locations

━━━━━━━━━━━━━━━━━━━━━━
BRANDS USING PAZO AI
━━━━━━━━━━━━━━━━━━━━━━

• Victoria's Secret
• Jockey
• Bata (Global)
• Gotham NYC
• CBRE (Facility Management)
• 100+ other retail & consumer brands

━━━━━━━━━━━━━━━━━━━━━━
TIMESTAMPS
━━━━━━━━━━━━━━━━━━━━━━

0:00 - Introduction & Panel Overview
1:15 - The State of Retail Today
4:51 - The Retail Feedback Loop of Death
6:19 - Visual Merchandising Challenges (Examples)
9:50 - Operational Roadblocks in Multi-Store Management
14:05 - Kenny's 3-Part Framework for Operational Excellence
19:27 - How Pazo AI Works (Live Demo Walkthrough)
22:38 - The 1,000 Photo Problem Solved
24:00 - AI-Powered Dashboard & Compliance Tracking
26:02 - Rewarding Store Teams with Data
29:51 - Before & After: Real Results
32:05 - Q&A: Integration with Security Systems
34:16 - Q&A: Fast-Paced Retail Environments
35:45 - Q&A: What Can Humans Do That AI Can't?
42:46 - One Principle for the Next 5 Years
43:16 - Closing Remarks & Pazo Demo Offer

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