Member of the founding/Team
SupplyET
SupplyET develops AI-powered software for supply chain planning that optimizes cost, sales, and emissions using novel algorithms. Their PF Engine offers a visual user interface for strategic production planning, replacing complex legacy systems like Excel and SAP transactions. This platform enables planners to achieve faster, more flexible planning results, improving capacity and sustainability outcomes.
- Artificial Intelligence
- Data & Analytics
- Enterprise Software
- Manufacturing / Industry 4.0
- Software Only
Updated 23 months ago
Funding
Raised to date
$140KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Funding rounds are not available yet.
Founders
Product
Problem
Many manufacturers rely on complex spreadsheets and manual processes for production planning, leading to inefficiencies, wasted resources, and limited visibility into optimal machine utilization. This makes it difficult to quickly adapt to changing market demands and optimize production for cost, sales, and emissions.
Solution
SupplyET offers visual, AI-powered software that enables manufacturers to simulate production scenarios and optimize machine utilization. Their PF Engine replaces complex spreadsheets and SAP transactions with an intuitive, purely visual user interface. The software uses novel algorithms and AI to automatically determine the optimal way to manufacture products, optimizing for cost, sales, and emissions. This approach reduces planning time, increases capacity and sales, reduces investment needs, and contributes to sustainability.
Target Audience
The primary target audience includes manufacturing companies looking to improve the efficiency, transparency, and flexibility of their supply chain planning processes.
Features
- Visual user interface for production planning, replacing complex spreadsheets and SAP transactions
- AI-powered optimization algorithms that automatically determine the optimal production plan
- Simulation capabilities to model different production scenarios and assess their impact
- Optimization for cost, sales, and emissions
- Rapid implementation, enabling users to start planning more efficiently in days