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ARIS Process Mining Accelerator for Order Management

FREE ACCELERATOR

ARIS Process Mining | Order Management | Order-2-Cash | SAP | Management Dashboard | Operational Excellence | 

This dedicated accelerator for ARIS Process Mining is purpose-built to optimize SAP-based order management. It provides ready-to-use insights into critical use cases such as unshipped and unbilled orders, delayed deliveries, and open order processing—helping you increase transparency, accelerate execution, and unlock measurable business value.

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Talk to our experts and see how an Order Management solution powered by ARIS Process Mining can unlock significant business value — from increased efficiency and transparency to the potential to free up millions in working capital.

What Process Mining Solves for Your Order Management

  • UNBILLED, LATE-BILLED, AND UNSHIPPED ORDERS TYING UP REVENUE AND WORKING CAPITAL
    Improves working capital management through better process control by reducing revenue leakage, accelerating cash realization, and providing full transparency.
  • LACK OF END-TO-END VISIBILITY ACROSS ORDER, DELIVERY, AND BILLING
    Enables management and process owners to see what actually happens across the end-to-end process, rather than relying on assumptions.
  • LATE DELIVERIES IMPACTING CUSTOMER SATISFACTION AND SLAS
    Detects delivery delays early, tracks SLA risks, and enables proactive management of critical and high-impact orders.
  • ORDERS STUCK IN STATUS, BLOCKS, OR MANUAL REWORK
    Provides full transparency to resolve operational order issues, identify root causes, and support sustainable process improvement.
  • HIGH PROCESS VARIANTS AND EXCEPTIONS IN SAP ORDER HANDLING
    Visualizes process variants and deviations to identify exception-heavy paths and support standardization and continuous process improvement.

Improvement Areas in Order Management — Ready USE CASES for your Operational Excellence

At the heart of this accelerator are the Control Towers for Management—a central entry point for key KPIs and for navigating the most relevant improvement areas in SAP-based order management. From this top-level dashboard, you can deep-dive directly into the predefined USE CASES we have prepared.
  • OPEN ORDERS

    • Improved backlog visibility and faster issue resolution.
    • Reduced risk of revenue leakage and improved customer trust.
    • Better forecasting and more reliable sales reporting.
  • UNSHIPPED ORDERS

    • Reduced backlog of unshipped orders, faster order cycle times.
    • Higher OTIF (On-Time In-Full) performance and improved service levels.
    • Better collaboration between logistics, customer service, and finance.
  • UNBILLED ORDERS

    • Faster invoicing and quicker revenue recognition.
    • Reduced manual effort and fewer missed invoices.
    • Improved cash conversion cycle, stronger liquidity.
  • LATE DELIVERIES

    • Higher OTIF delivery rate and better SLA compliance.
    • Lower penalties and fewer customer complaints.
    • Improved customer satisfaction and retention.

What This Accelerator Delivers

This plug-and-play accelerator provides everything you need to analyze and improve SAP order management—preconfigured, actionable, and ready to use. It includes:

  • Preconfigured transformation logic for the relevant SAP data model
  • Ready-to-use order management KPIs
  • Standard dashboards and analyses for key use cases
  • Prepared to address typical order management pain points
  • Fast deployment on ARIS Process Mining

Order Management Process: End-to-End Happy Path and Operational Variations

Order Management consists of multiple interconnected process steps that ensure the end-to-end handling of customer orders. While a standard happy path exists, real-world Order Management is largely shaped by process variants and exceptions that arise in day-to-day operations and significantly impact performance, reliability, and customer satisfaction. The diagram below illustrates both perspectives.

Application Structure & Navigation

Application Structure & Navigation

Control Tower Overview

The Control Tower surfaces the most common operational pain points - such as open orders, unshipped orders, unbilled orders, and late deliveries - and presents them in a clear, business-driven view. This gives the Order Fulfillment Manager a holistic understanding of performance and trends over time, which helps the manager to quickly assess the situation and targeted action where it matters most.

Monitoring and Impact

From the monitoring and impact dashboard, the manager can quickly see both the business scope - number of sales orders and total value at risk - and the performance KPIs, such as cycle time, etc.

Root Cause Analysis

Following the manager’s direction, the Process Analyst’s task is to identify how to quickly resolve open orders and unlock working capital. The Root Cause Analysis dashboard reveals why these issues occur. It surfaces bottlenecks, deviations, and rework, and quantifies their financial and operational impact - ensuring improvement efforts are focused where they matter most. The analyst can see exactly where friction exists in the cycle.  Drilling down further, the analyst can isolate the problem areas and instantly switch perspectives - analyzing impact by customer, plant, sales order type, or material. This turns insight into action, enabling targeted fixes rather than broad, manual investigation.

Details

In the detailed operational view, the Order Fulfillment Specialist sees a prioritized list of orders, along with the specific issues preventing each order from being processed on time. ARIS automatically classifies the root causes of delay removing the need for manual investigation. Combined with contextual data like order value, delivery status, and delivery creation due date, the specialist can immediately determine which orders require urgent intervention. From here, the specialist can take action directly ensuring issues are addressed faster and customer impact is minimized.

Use-case specific navigation beyond the Dashboards

All use cases follow the same structured approach empowering managers, process analysts, and operational teams to consistently identify inefficiencies, assess impact, and take action. In addition, the 

  • Process Explorer – Enables exploration of actual end-to-end process flows based on event data.
  • Process Model Overlay – Compares the reference Order Management process with the process variants measured through process mining, highlighting deviations and compliance gaps.
  • Process Overview – Allows users to analyze the full Order Management process beyond a single use case.

All dashboards come with:

  • Main KPIs
  • Use-Case specific KPIs
  • Case-level Insights and Visualizations: Charts, Tables, Diagrams
  • Multiple Filter: Dimensions, Categories
  • Adressed Pain Points
  • Potential Value Proposition
  • Action Buttons
RELATED ARIS EDITIONS
  • ARIS Process Mining Enterprise (SaaS and on-premise)
  • tbd
SUPPORTED ARIS USERS

ARIS Users Who Directly Interact:

  • tbd
CONTENT
  • tbd
RELEASE INFORMATION
  • Supported UI language: EN
  • Version: 1.0.0
  • Publishing date: tbd.
  • Author: SAG Aris GmbH
  • Copyright: © 2026 SAG Aris GmbH. All rights reserved.

Installation, Prerequisites, Configuration, and Version History

This section describes how to install the accelerator to set up your own solution, outlines the required prerequisites and preparation steps, explains the available configuration options, and provides an overview of the version history.
  • Prerequisites & Preparation

    Required systems, data, access, and readiness checks.

  • Request Accelerator

    Request accelerator import files via the contact form.

  • Installation

    Deploy the accelerator in your target environment.

  • Configuration

    Adjust parameters, filters, and KPIs to your setup.

  • Version History

    Track releases, updates, and changes over time.

Need Help?

If you have questions about any Accelerator or want to exchange experiences with others, visit our community forum. There you can ask questions, share insights, and support each other.

Go to the community forum

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