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Celonis Product Documentation

Getting Started Guide

This section contains the comprehensive "Getting Started Guide" of the Shipping Emissions Reduction App. Designed specifically for businesses seeking to integrate data-driven emission management into their operations, this guide offers a streamlined approach to set up and navigate our product. Get to know the app structure, understand the most important use cases and create a solid foundation for optimizing your logistics processes.

High-level process

  1. Set up the Connection to an SAP system from Celonis

    1. Set up the extractor server

    2. Configure the connection

  2. Install and Configure the SAP-ECC Order to Cash Process connector from Marketplace

  3. Install the Order Management Starter Kit App from the Marketplace

    1. Search for the app in Marketplace

    2. Download the app

    3. Assign your SAP O2C Data Model to the variable in the package settings

  4. Finish the setup

    1. Add shipping and emission specific tables to the data model

    2. Configure the carbon engine

  5. Costumize the app

    1. Validate and customize the Knowledge Model and app settings

    2. Implement KPI customizations in KM

    3. Implement customizations in Views

Use Cases covered:

  • Automated Emissions Calculation

    Automated and distance-based calculation of carbon emission by combining ERP data with emission factors from the Global Logistics Emissions Council (GLEC). Our certified carbon engine provides emissions data for shipping freight around the world using multiple modes of transport such as road, air, sea and rail.

  • Define Target and Measure Progress

    Provides transparency into shipping emissions, showing users they're progress against the sustainability goals.

  • Identify & Priortize Emission Hotspots

    Helps identify areas with high emissions, offering insights into business and regional emission concentrations.

  • Sustainable Shipping

    Simulates and recommends the most sustainable transportation modes for shipping routes, showcasing potential emission savings.

  • Order Bundling

    Highlights inefficient shipments due to underutilization, calculating potential emission savings from optimized bundling.