A
aioneers Tech Stack
Supply chain AI and planning consulting for demand forecasting and inventory optimization
aioneers builds supply chain planning software backed by consulting expertise, using Python ML stacks (LightGBM, XGBoost, Prophet) on Azure infrastructure. The company is heavily focused on demand forecasting and inventory optimization—these appear across 6+ active projects—suggesting a narrow, repeatable service model. The hiring mix (5 logistics, 3 ops, 2 data roles) reflects a services-first org scaling execution capacity rather than product development.
Tech Stack 11 technologies
Core StackAzure DevOps GitHub Actions Microsoft Office PowerPoint Excel Azure Azure Machine Learning LightGBM XGBoost Random Forests Prophet
What aioneers Is Building
◆Challenges
- Digitalizing supply chain decision-making
- Optimizing supply chain processes
- Demand forecasting
- Integrating data-driven decision models
- Analyzing existing supply chain processes
- Identifying optimization potentials
- Existing supply chain process optimization
- Inventory optimization
- Production scheduling
- Supply chain optimization challenges
▲Active Projects
- Demand forecasting concept development
- Supply chain process optimization
- S&op implementation
- Inventory management concept development
- Inventory management and forecasting
- Inventory management implementation
- Demand forecasting model creation
- Developing innovative supply chain concepts
- Designing efficient and scalable mlops processes for large-scale model deployments
- Demand forecasting project
Hiring Activity
Minimal15 roles · 1 in 30d
Department
Seniority
Company intelligence
