With DistroDynamics, you can be confident that the insights and recommendations are based on the highest level of calculated precision. Embedded within the machine learning platform is an engineered knowledge base, which is a framework of mathematical equations and algorithms specifically designed to quantify the complex dynamics of warehouse operations. Developed over the past decade, these engineering calculations enable the AI to precisely predict the effects of specific warehouse scenarios, as well as guiding it as it learns how to make your warehouse as efficient as possible.​​​

​​warehouse machine learning

​​​​​​DATA REQUIREMENTS

​warehouse optimization (analysis & precision)

engineering knowledge base

Don't risk the performance of your warehouse on general principles or vague techniques and tips. Quite simply, the difference between success and failure in warehouse optimization is precision. Through machine learning and engineering, DistroDynamics has transformed warehouse analysis and optimization into an engineering science, providing you the precise information needed to support the ongoing success of your warehousing operation.

Optimizing the performance of your warehouse is actually a very complex and quantitative process that requires the highest level of mathematical precision to fully maximize your warehouse’s potential. Even a small sub-optimal deviation in just one of many warehouse parameters can significantly limit its overall performance and capability.

Also, successful warehouse optimization must utilize a holistic approach, which requires a comprehensive understanding of how interconnected the different warehouse functions are. It is critical to understand how a change in one area of the warehouse will affect the performance of another in order to improve your warehouse as a whole.

DistroDynamics uses a proprietary machine learning platform that has been specifically designed to analyze the complexities of warehouse operations to provide you the information you need, when you need it.​​

DistroDynamics

Another advantage of the DistroDynamics AI platform is that it reduces the workload of acquiring the necessary data by all but eliminating the need for observational data collection. Warehouse data that used to require a large amount of observational measurement can now be calculated directly through the engineered knowledge base inside the machine learning platform.

All that is required is basic warehouse information and a product data file easily extracted through fairly standard queries from your enterprise system. Once the product data is loaded, the AI assesses the characteristics of your operation, determines how to best perform the analysis and then evaluates innumerable calculations and scenarios to find the optimal way to fulfill the products in your warehouse.