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