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Supply Chain Analytics

DELIVER

Customer Satisfaction, Fulfillment & Logistics

What is Delivery Analytics?

Delivery analytics optimizes the final stages of the supply chain to enhance customer experience:

  • Customer satisfaction - Understanding and meeting expectations
  • Order fulfillment - On-Time In-Full (OTIF) performance
  • Network design - Optimal facility locations
  • Transportation - Cost optimization and routing
  • Last mile - Delivery time prediction and optimization

DELIVER Use Cases

20 Customer Satisfaction

NPS, CSAT analysis, and customer experience optimization.

21 Order Fulfillment

OTIF analytics, process mining, and fulfillment optimization.

22 Network Design

Facility location optimization and supply chain structure.

23 Transportation Cost

Mode selection, consolidation, and cost optimization.

24 Delivery Prediction

ML-based delivery time forecasting.

25 Route Optimization

VRP solving and last-mile efficiency.

Delivery Analytics Themes

Data Foundation

  • Order & shipment data
  • Customer feedback
  • Traffic & location data
  • Carrier performance

Methods

  • Process mining
  • Route optimization (VRP)
  • ML prediction models
  • Sentiment analysis

Key Metrics

  • OTIF rate
  • NPS / CSAT
  • Cost per delivery
  • On-time delivery %

Explore DELIVER Cases

20 Customer Satisfaction 21 Order Fulfillment 22 Network Design 23 Transportation Cost 24 Delivery Prediction 25 Route Optimization

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