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Supply Chain Optimization Dashboard

Operational view of network demand, last-mile performance, and carrier mix — modeled after large-scale e-commerce fulfillment analytics.

Portfolio demo · Synthetic operational data

Executive KPIs

Demand forecasting

Twelve months of fulfilled order volume (000s units) by category as lines; dashed segments show a three-month forecast with an 80% confidence band on the category total.

Route optimization

Network route distance (index)

142
Baseline network

Est. linehaul + middle-mile cost

$4.82M
per month modeled

Dots: fulfillment centers. Diamonds: high-density customer clusters. Animated paths illustrate primary lane volume.

Delivery performance

Weekly order volume: on-time (promise met) vs late — 16 weeks. Trend reflects reliability program rollout.

On-time Late

Carrier performance

Carrier On-time % Avg transit (d) Cost / order Volume (k) Reliability

Cost optimization

Shift volume from lower-tier carriers toward the top two (by reliability score). Savings assume blended rate cards and fewer exception touches.

12%
Blended cost / order

$12.40

Current mix
Projected cost / order

$11.89

−$0.51 at 12% shift
Network on-time %

94.2%

Weighted baseline
Projected on-time %

94.9%

+0.7 pts

How this model works

  • Top carriers: higher reliability, slightly premium base rate.
  • Shifting volume reduces exception handling and re-ship rates.
  • Slider applies a smooth marginal curve (diminishing returns past ~25%).
  • Figures are illustrative for this demo; real programs use solver outputs.