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GAINS Tech Stack

AI-driven supply chain planning platform for manufacturing and retail

Software Development Atlanta, Georgia 51–200 employees Privately Held
gainsystems.com LinkedIn

GAINS operates a cloud-based supply chain optimization platform built on Python, C++, Java, and optimization engines (Gurobi, CPLEX), integrated with Salesforce for go-to-market. The tech stack—heavy on mathematical solvers and machine learning (scikit-learn, pandas, NumPy)—reflects a core focus on algorithmic planning. Active projects center on AI transformation, ML model deployment, and infrastructure (Terraform, AKS), while the hiring mix (engineering and data roles) and pain-point list (model drift, manual deployment steps, slow cycles) signal an engineering team scaling from prototype to production systems.

Tech Stack 23 technologies

Core StackPython C++ Java Salesforce Pardot pandas NumPy scikit-learn Confluence Azure DevOps .NET Gurobi CPLEX Azure Azure Pipelines Azure Kubernetes Service Bash PowerShell Kinaxis Blue Yonder
AdoptingTerraform

What GAINS Is Building

◆Challenges

  • Reactive spreadsheet-driven planning
  • Legacy product management frameworks
  • Slow development cycles
  • Eliminating manual deployment steps
  • Accelerating developer feedback loops
  • Fleet automation for single-tenant environments
  • Model drift
  • Complex supply chain challenges
  • Complex supply chain problems

▲Active Projects

  • Ai transformation
  • Ai-driven automation for supply chain
  • Deployment pipeline evolution
  • Terraform iac expansion
  • Fleet automation tooling
  • Production ml model deployment for supply chain outcomes
  • Pipeline infrastructure for ml capability
  • Gains platform deployments
  • Optimization initiatives
  • Client implementations and optimization engagements

Hiring Activity

Accelerating7 roles · 6 in 30d

Department

Engineering
2
Data
1
Ops
1
Product
1
Sales
1
Support
1

Seniority

Senior
3
Mid
2
Junior
1
VP
1
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About GAINS

GAINS builds a supply chain optimization platform for manufacturing, distribution, retail, and service parts operations. The product combines optimization algorithms with machine learning to automate inventory planning, demand forecasting, and sales-inventory-operations planning (SI&OP). The platform runs on Azure cloud infrastructure and integrates with existing enterprise tooling via Salesforce. The company operates across the United States with a team of 51–200 employees, serving customers in manufacturing and logistics.

HeadquartersAtlanta, Georgia
Company Size51–200 employees
Hiring MarketsUnited States

Frequently Asked Questions

What technology does GAINS use to build its supply chain platform?

GAINS uses Python, C++, Java, Gurobi, CPLEX optimization engines, scikit-learn, pandas, and NumPy for modeling and analytics. Infrastructure runs on Azure (AKS, DevOps, Pipelines). Salesforce and Pardot handle go-to-market.

What is GAINS currently building?

GAINS is focused on AI transformation, production ML model deployment for supply chain optimization, infrastructure evolution (Terraform, AKS), and deployment pipeline automation to reduce manual steps and accelerate feedback cycles.

How this profile is built

GAINS's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.