JourdanLabs
Applied AI Systems
JourdanLabs/Work/amazonfulfill
Amazon2025Product Management & Systems Design

Fulfillment Forecast & Routing Optimizer (FFRO)

AI-assisted forecasting and routing recommendations for fulfillment operations.

Supply ChainForecastingOptimizationOpenAI

Narrative Proof

I can model fulfillment constraints and translate them into a decision cockpit with measurable tradeoffs.

Problem

Fulfillment performance degrades when forecasts, capacity, and routing decisions live across disconnected tools. Teams react late to demand shifts and miss service-level targets.

Impact

  • Improved forecast-to-plan cycle time by consolidating demand, capacity, and routing.
  • Reduced late-stage volume rework by surfacing constraint violations earlier.
  • 50% reduction in manual scenario testing time for regional planners.

Overview

FFRO simulates expert logistics planner logic to visualize network health and optimize routing.

It assigns Service Level Risk Scores (0-100) and recommends specific routing changes.

Planners can run rapid what-if scenarios and export actionable routing shifts.