We provide a streamlined prototyping framework for the complex, unpredictable and not really measurable process in machine learning and data analytics MVP or prototyping projects.
The work is performed in a fixed timeline of 3-4 month and ends with an MVP or beta version. No more struggle with: blocking of internal resources, overdue deadlines, or that costs are going through the roof.
The main task is usually to compute the real capacity utilizations in a logistics network and to identify bottlenecks and tactical improvements potentials in the shipment scheduling and planning. We further help also in the strategic improvement of the general network design (hubs, milk runs, etc).
An essential part sensor and IoT analytics is the multi-dimensional modelling of the, usually physical, processes and the pattern recognition and identification. Usual use cases are the early identification of significant process changes for predictive maintenance and quality control.