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Peak

2024–25

Product Designer · AI Supply Chain

  • Led design strategy for AI-powered Production Planning
  • Translated complex ML forecasts into interfaces supply chain managers could action
  • Collaborated with engineers and data scientists across the full product lifecycle
  • Deployed for Tesco, Nissan, and Adidas

Product

SKU-Level Forecasting

  • AI demand forecasting at the individual SKU level — not broad category estimates
  • Dynamically adjusts based on real-time signals
  • Reduced overproduction and prevented stock shortages

Customizable Planning Windows

  • Configurable planning horizons — weekly, monthly, or months ahead
  • Procurement and logistics teams could align raw material sourcing and labor planning

Real-Time Adjustments & Demand Sensing

  • AI monitors demand fluctuations, supply chain disruptions, and capacity constraints continuously
  • Teams respond to changes in real time instead of relying on static monthly plans

Unified Cross-Team Dashboard

  • Centralized view for sales, procurement, logistics, and finance
  • Single source of truth — eliminated conflicting priorities across teams

ERP & Supply Chain Integration

  • Direct integration with ERP systems, inventory platforms, and procurement tools
  • AI plans execute within existing workflows — no rip-and-replace

Design

Research

  • Interviewed supply chain managers, production planners, and logistics teams
  • Most tools grouped products into broad categories — planners needed SKU-level precision
  • Planning was reactive: teams adjusted after disruptions, not before
  • No shared view across sales, procurement, and production

Testing & Iteration

  • Usability tests with supply chain managers and production planners
  • Added manual overrides and confidence scores — users wanted control over AI recommendations
  • Designed location-specific planning views for multi-site manufacturers
  • Replaced complex charts with clear, actionable insights readable by non-technical users
Figma

Results

  • 50% reduction in overproduction and inventory holding costs
  • 30% increase in production efficiency
  • 90% faster response time to supply chain disruptions
  • 18% reduction in retail stock-outs across Tesco, Nissan, and Adidas