Supply Chain Case Study 5: Last-Mile Optimization

Last mile delivery vehicles and route tracking

Context

High delivery variability and escalating fuel spend impacted customer experience and unit economics in urban routes.

Innovation

Implemented dynamic route assignment and ETA intelligence with driver mobile telemetry and traffic-aware recalculation.

Outcome

Delivery window adherence improved, late-arrival claims dropped, and fuel cost per drop was reduced.

Executive Analysis

Senior Research Review

Findings show ETA reliability is a stronger trust predictor than raw delivery speed for high-frequency customers.

  • Method: route-level A/B cohort analysis
  • Key KPI shift: lower missed-window incidents in dense zones
  • Recommendation: pair ETA confidence scoring with customer notifications

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Domain: Supply Chain
Reference: Supply Chain Case Study 5: Last-Mile Optimization

  • Delivery model: Senior-only architecture and implementation team
  • Security baseline: AES-256, Zero-Trust IAM, VPC isolation
  • SLA baseline: 4-hour critical response pathway

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