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CodeBranch
Supply Chain

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.

Quick Summary

  • ▸ CodeBranch developed a supply chain optimization platform that calculates the best product mix to meet demand based on current capacity.
  • 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.
Tech Stack: React Nest.js Next.js Python PostgreSQL FastAPI LLama
AI Helps Supply Chain Planners Prioritize Demand and Maximize Resources

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.

Industries

Supply Chain

Services Provided

  • Web Development
  • Custom Software Development
  • AI Development

Approach

Technologies used include Nest.js, Next.js, Python, React, FastAPI, Llama, and PostgreSQL. The project was delivered by 6 specialists: a UX/UI designer, a QA specialist, two senior developers, a project manager, and a software architect. By operating under CodeBranch's internal project management platform, the team maintained clear priorities, predictable delivery timelines, and consistent quality standards.

1x UX/UI Designer
1x QA Specialist
2x Senior Developer
1x Project Manager
1x 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.

Clutch Ratings

5.0
Quality
5.0
Cost
5.0
Schedule
5.0
Willing to Refer

Frequently Asked Questions

How does the platform determine the best product mix to fulfill demand?
The platform applies optimization algorithms that evaluate all feasible product allocation combinations given the company's current manufacturing capacity. It then surfaces the most efficient mix that covers demand while respecting business-defined priority rules, minimizing waste and maximizing resource utilization.
Can planners customize how products are prioritized within the system?
Yes. The platform allows planners to assign and adjust product priorities based on strategic business objectives. This flexibility ensures the optimization output aligns with real-world business needs rather than relying solely on algorithmic defaults.
Is this platform suitable for companies with complex, multi-product supply chains?
Yes. The system is designed to handle scenarios where multiple products compete for shared manufacturing capacity. It evaluates all demand-capacity combinations and generates clear recommendations, making it well-suited for companies managing complex product portfolios under constrained resources.
What technologies power the optimization and AI features of this platform?
The platform is built with Python and FastAPI for backend optimization logic, LLama for AI-assisted planning capabilities, React and Next.js for the frontend interface, Nest.js for API services, and PostgreSQL for data persistence.
How did CodeBranch ensure quality and on-time delivery for this project?
The team operated under CodeBranch's internal project management platform, which enforces clear priority management, predictable delivery timelines, and consistent quality standards across all phases of development.

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