Algorithms and artificial intelligence in operational use

A core element of Logivations' work is to bring developed concepts and strategies into operative practice together with the client. Smart algorithms and methods from the field of artificial intelligence are integrated into the existing system environment or installed as a standalone application. This affects e.g. optimized assignment, tour building or pack schema calculation, but also solutions for tracking and autonomous transport systems.

Logivations has been successfully using an agile process model with an incremental/iterative approach for years for fast and transparent project implementation, even in complex systems.

Project procedure for operative planning and optimization systems

The main advantage of this approach is that there is transparency about the current status in all phases of the project and that direct feedback from all project participants is incorporated into the further steps.

This is achieved by providing an intermediate version at the end of each iteration (also called Sprint in Scrum), which the customer can test regularly. This way immediate implementation of customer feedback is realized, and a concretization of the requirements and optimization of the solution is achieved.

Project procedure for AI projects

The paradigm shift associated with the use of algorithms from the field of artificial intelligence requires a customized approach in associated implementation projects. The classical approach does not consider that the performance of the algorithm depends on training with data that can only be obtained from the use case. A pilot phase is therefore required, during which fine-tuning takes place.

With this approach, early tests in the real environment and the associated generation of specific training material can be carried out very quickly to achieve a powerful target configuration.

Have a look at our numerous successful projects in this area

Online Optimized Order Sequencing using W2MO as Add-on to SAP

Modeling of the warehouse and analysis of optimization potentials
Incremental and iterative approach to software & project design & implementation – keeping a project in time and in budget
Full SAP integration: two-way interface for order sequencing
Online order processing sequence optimization based on W2MO advanced algorithms and calculated labor efforts per activity
Order Sequencing algorithm implementation

Logistics Optimization in E-Commerce

Integration of W2MO with the existing WMS
Case calculation using all dimensions to optimize packing of orders
Multi-level optimization of order sequences for processing via internal transportation system
Vacation planning for approx. 1000 employees in logistics; automatic overnight capacity calculation, balancing available (workforce) capacities with order data using direct interfaces

Potential Analysis & Optimization of SAP EWM

Calculation of optimal shelving rack assignment
Implementation of the optimized assignment
Simulation and evaluation of possible savings
Continuous evaluation of processes through Six Sigma
Use of optimization technologies in addition to SAP EWM

Algorithms and artificial intelligence in operational use

Virtual Projects & Digitalization