Software Development for Industries
We create dedicated teams of developers to accomplish our partners' goals in any industry. Find on this page some examples.
Case Study # 31
AI Helps Supply Chain Planners Prioritize Demand and Resources.
CodeBranch developed a supply chain optimization platform that calculates the best product mix to meet demand based on current capacity.
.png)
Approach
6 Specialists
- UX/UI designer - QA specialist
- Two senior developers
- Project manager
-Software architect
Results
-
Optimized Demand Fulfillment: Identified the best product allocation strategy to meet demand within current capacity.
-
Resource Efficiency: Maximized the use of available resources, minimizing waste and underutilization.
-
Prioritization Strategy: Enabled planners to assign priorities across products, balancing business objectives with operational constraints.
-
Faster Planning: Reduced the time required to evaluate capacity and demand combinations.
-
Data-Driven Decisions: Empowered planners with clear recommendations for strategic and operational decision-making.
Overview
This project, developed by CodeBranch’s dedicated team, focuses on the last stage of the supply chain, where the goal is to meet demand in the most optimal way based on different strategic objectives.
The system takes product demand as input and, considering the company’s current capacity, determines how to fulfill that demand while prioritizing products according to business needs.
By applying optimization algorithms, the platform generates the most efficient combination to cover demand, maximize resource utilization, and support planners in making critical supply chain decisions.
Case Study # 30
AI Agent to Optimize Decision-Making in Supply Chain Planning