Transport · Analytics ·

Route optimization

Optimize your routes: empty kilometers, load factor and cost per route.

Illustrative preview of the SAP Analytics Cloud dashboard Route optimization for the Transport industry: metrics Empty km %, Load factor, Stops per route, Cost per route, analyzed by Route, Region, Driver.
Illustrative preview of a possible rendering in SAC. Brand colors and structure; synthetic figures.

KPIs included

  • Empty km %
  • Load factor
  • Stops per route
  • Cost per route

Analysis dimensions

  • Route
  • Region
  • Driver

About this template

Optimize your routes: empty kilometers, load factor and cost per route. Designed for teams in the Transport industry, the model pre-wires 4 key metrics — including Empty km % and Load factor — analyzable across 3 analysis axes (Route, Region, Driver). You start from an already-bounded base (units, aggregations and business labels defined) rather than a blank sheet.

After downloading, import Route optimization into SAC Modeler (Files → New Model → Import data from a file), map the 3 dimensions and 4 measures, then build your Story. The provided dataset contains 720 to 960 rows with realistic values for the Transport industry, available as .xlsx (multi-sheet workbook), .csv (flat table) and .package (ZIP bundle with model.json, data.csv and README).

FAQ

What is the "Route optimization" template for?

It provides a ready-to-use SAC structure to drive analytics in the Transport industry. The standard business KPIs and dimensions are already defined, saving you the modeling phase.

Which KPIs are included?

The template includes 4 metrics: Empty km %, Load factor, Stops per route, Cost per route. Each is computed across the dimensions Route, Region, Driver.

How do I import it into SAP Analytics Cloud?

Download the .csv or .xlsx format, then in SAC: Files → New Model → Import data from a file. Map the columns (Dimensions then Measures), validate the types and build your Story. Allow 5 to 10 minutes for an operational model.