Abyron developed a supply chain optimization system to help companies reduce costs and save resources. The solution includes predictive modeling, multi-level user access, and reporting tools for analyzing complex supply chains and evaluating various delivery routes and transport options.

The client faced challenges due to numerous interdependent delivery conditions, route options, and modes of transport. Conducting a detailed analysis of such a complex supply chain required significant human effort, making it difficult to optimize costs and make timely, data-driven decisions. To address this, Abyron implemented a logistics management system and supply chain simulation software, providing a clear overview of operations and enabling workflow optimization for employees.

Our team participated in the development and implementation of a system for modeling existing supply chains:

• developed a mechanism for generating and presenting reports on the current state of affairs,
• developed and implemented a user-friendly interface with multi-level access, similar to TSM systems, where users can easily and easily enter initial parameters and get readable results, access previously generated results and manage all neural network requests.
• implemented a model for predicting results/changes in current supply chains.

The developed system helped the client:

• predict costs and supply chains,
• reduce costs,
• speed up the decision-making process based on data,
• optimize the work of employees.