Peak
2024–25Product 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