e-optimize

Intelligent DEPLOYMENT planNIng WITH PLANNING AI

Fewer kilometers driven. More assignments. Better planning.

e-optimize improves assignment schedules by taking travel times, qualifications, availability, and operational requirements into account.


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

e-optimize uses Timefold.ai's Planning AI

Are you interested in route optimization?


Problem Definition

CURRENT MANUAL DEPLOYMENT PLANNING

Time-consuming planning

Changes, cancellations, and new orders require ongoing manual adjustments. This takes up time and makes planning heavily dependent on individual dispatchers.

Uneven
workload

It is difficult to manually take qualifications, availability, and locations into account all at once. The result: overwork on one hand, and unused capacity on the other.

Conflicts &
Delays

Time constraints, resources, and dependencies can quickly come into conflict. Problems often don't become apparent until deadlines and service quality are already under pressure.

Complexity grows with the business

An increase in the number of orders, employees, or regions exponentially increases the complexity of planning. What works for 20 assignments quickly reaches its limits when there are 200.


The Solution

THREE PLANNING SCENARIOS, ONE SOLUTION

Field Service & 
Maintenance

The solver model behind e-optimize enhances both dispatch and route planning simultaneously. It reduces travel times and planning effort, improves resource utilization, and increases on-time performance and efficiency in day-to-day operations.

Production & Task Planning

e-optimize sequences tasks, assigns machines and employees, and takes dependencies, capacities, and priorities into account. If conditions change, the plan can be reconfigured in a flash without having to manually rebuild the entire schedule.

Staffing & Shift Scheduling

e-optimize optimizes work schedules based on staffing needs, qualifications, availability, and mandatory work time regulations. This ensures that shifts are reliably staffed, legal and company requirements are met, and available capacity is used efficiently.


Average travel time reduction of

-25%

Increase in throughput by up to

+25%

Emplyee satisfaction improvement

+20-30 %

KPIs from Timefold.ai Implementation Projects


Calculate Your Potential Savings in Your Use Case

What financial benefits do optimized fleet mileage figures offer YOU?

01 · Your field service fleet
veh.
km
h
days
people
h
02 · Fuel & time
l/100 km
€/l
€/h
03 · Optimization
Assumed reduction in travel time and distance
10 %
0 %10 %20 %30 %

Default: 10%. Timefold reference: 25% less travel time and distance per job.

Annual potential
The impact of optimized dispatch and route planning
Operational impact
Fewer kilometres driven
330.000 km
per year
Operational impact
Less fuel used
29.700 l
per year
Direct cost impact
Fuel cost savings
68.904 €
per year
Capacity value
Value of technician capacity gained
435.600 €
per year
Technician time gained
7.260 hrs
ca. 907,5 Technikertage à 8 Stunden
Annual economic potential
504.504 €
Direct fuel cost savings + value of technician capacity gained
Current annual mileage
3,3 Mio. km
Technician travel time today
72.600 hrs
Fuel costs today
689.040 € / year

Planning Types with e-optimize

Not every operations setup can be solved in the same way.
Some operations can be optimized in advance, while others change continuously as new tasks, disruptions or priorities emerge. e-optimize therefore supports different planning modes — from complete planning runs to continuous re-optimization during live operations.

Batch Operation

Optimize complete planning horizons in one run — for example overnight or before the start of operations. Best suited for known work packages across the next days, weeks or months.

Ad Hoc Planning

Give planners optimization support exactly when a decision is needed. Recalculate a selected planning situation on demand — for example after a disruption, absence or urgent priority change.

Continous Planning

Keep the schedule optimized as operations evolve. New orders, cancellations or changing constraints trigger recurring re-optimization within a rolling planning window.

e-assist

The Smart Planning Assistant Powered by AI

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 to significantly increase efficiency and accuracy.


Our intelligent assistant enhances support for dispatchers and technicians and takes service quality to a new level.


Key Features

Planning Assistent

  • The Planning Assistant can be used as a standalone application
  • Or run as part of e-planning

Technological Infrastructure

Technology Partners

  • AWS (Amazon Web Services)

System Architecture

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

    Own Knowledge Base

Data Flow and Integration

  • When changes occur, assignment and employee data are written from SAP to a customer-specific LLM
  • The AI components are provided by AWS

Interfaces & Modules

  • e-connect
  • RFC Function Modules
  • Web services

e-switch AI Architecture

e-assist is an integral part of e-switch's AI strategy, along with:

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

Take the Next Step Towards Efficiency

We'll show you how easy mobile SAP solutions can be.

Seize the opportunities of digitalization and sustainably optimize your service and maintenance processes. With our mobile solutions and expertise, we support you on the path to more efficiency, transparency, and competitive advantage. Make the difference now!