e-optimize

INTELLIGENT SCHEDULING WITH AI

e-optimize is a powerful planning engine for optimized scheduling that automatically solves complex planning problems – quickly, efficiently, and reliably. It is based on Timefold’s solver technology and can be used both independently and in combination with e-planning. Integration into SAP processes is seamless, regardless of the release version.


Challengens without e-optimize

Limited resources like staff, time, budget, or materials make service planning difficult. Manual planning quickly reaches its limits:

High time effort

Without e-optimize, scheduling is time-consuming, error-prone, and heavily dependent on individual dispatchers. Any changes require manual adjustments – costing resources, reducing efficiency, and putting pressure on both employees and customers.

Uneven resource utilization

Without intelligent planning, some employees are overloaded while others are underutilized. Skills, availability, and geographic conditions are often insufficiently considered.

Delays due to planning errors

Planning errors lead to late deployments, unplanned downtimes, and missed service windows. Without automated support, conflicts often remain undiscovered – directly impacting reliability and operational efficiency.

Limited scalability

As your company grows, manual planning processes quickly hit their limits. Adding new employees, services, or regions becomes inefficient – scheduling turns confusing, slow, and difficult to control.


The Solution:
e-optimize in Action

e-optimize optimizes scheduling and planning problems in real time or batch mode. Typical application areas include:

Maintenance planning

AI-driven planning reduces workload, improves resource utilization, and ensures higher reliability and efficiency in daily operations.

Production planning

Structures complex production processes by automatically considering capacities, material availability, and time slots – dynamically and in real time.

Vehicle routing / tour planning

Intelligent real-time route calculation lowers operating costs, reduces empty trips, and improves punctuality in field operations.

Workforce planning

Automatically and flexibly accounts for qualifications, availability, and preferences. Prevents overload, increases satisfaction, and ensures team readiness.


Example:
Vehicle Routing Problem

The vehicle routing problem showcases the strength of e-optimize:
Vehicles start from a depot, deliver to customers, while costs must be minimized, capacities maintained, and delivery times met.
e-optimize evaluates each possible solution with a scoring function to find the best route – considering:

Hard constraints – must be met (e.g., vehicle capacity)

Soft constraints – should ideally be met (e.g., employee preferences)

Positive constraints – desirable conditions (e.g., solo work preferred)


Planning Modes with e-optimize

Batch processing – optimize entire planning scenarios (e.g., overnight)

Ad-hoc planning – integrate into ongoing operations (e.g., disruption handling)

Continuous planning – dynamic planning across a rolling time window

Real-time optimization – immediate response to unplanned events

e-assist

THE SMART AI-POWERED PLANNING ASSISTANT

e-assist is the generative AI solution for service and maintenance. Using technology from our partner AWS, we automate and optimize scheduling and diagnostic processes, significantly boosting efficiency and accuracy.
Our intelligent assistant enhances dispatcher and technician support, raising service quality to a whole new level.


Key Features

Planning Assistant

  • Can be used as a standalone application
  • Or integrated into e-planning

Technological Infrastructure

Technology Partner

  • AWS (Amazon Web Services)

System Architecture

  • Agent Prompt
  • LLM (Large Language Model) mit:
    Public Knowledge Base

    Own Knowledge Base

Data Flow & Integration

  • Deployment and employee data are written from SAP into a customer-specific LLM whenever changes occur.
  • The AI components are provided by AWS.

Interfaces & Modules

  • e-connect
  • RFC function modules
  • Webservices

e-switch AI Architecture

e-assist is embedded in e-switch’s AI strategy, together with:

  • Deep Learning
  • Machine Learning
  • Expert Systems
  • Heuristics / Constraints / Solver

References

Trusted by Market Leaders

e-switch in Numbers

In Use Worldwide

Over

40000

Users Worldwide

25

Years of Experience

Customers in

35

Countries Around the World

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