TVINN provides Production Planning Software (PPS) featuring optimization tools and decision support to enhance manufacturing effectiveness. The platform offers multi-level MRP, real-time planning, and machine scheduling to streamline complex material flows and resource allocation. This results in improved on-time delivery rates, minimized manufacturing costs, and increased planner efficiency.
Funding
Funding not disclosed
Founders
Product
Problem
Many companies rely on outdated, inefficient tools like Excel for supply chain planning, leading to errors, increased inventory levels, stockouts, and inflated production costs. This lack of end-to-end transparency across the supply network hinders effective decision-making and results in both economic and ecological consequences.
Solution
TVINN develops Digital Supply Chain Twins (DSCT) software to provide end-to-end transparency and decision support across the supply network. The DSCT creates a digital replica of a company's value creation system, continuously exchanging data with the ERP system to enable simulations and informed decisions. TVINN's solution empowers planners to optimize the balance between supply and demand, track components to proactively address potential delays, and maximize resource efficiency through advanced machine scheduling. By providing a user-friendly interface and resilient recommendations, TVINN helps companies make economically and environmentally sound decisions, reducing reliance on inefficient workarounds.
Target Audience
TVINN targets manufacturing and trading companies, particularly supply chain planners, seeking to optimize their value creation systems, improve efficiency, and reduce environmental impact.
Features
- Digital Supply Chain Twin (DSCT) technology providing a digital replica of the supply network
- Integration with existing ERP systems for seamless data exchange
- MRP Planning: Lot size and inventory optimization, master data cleaning
- Component Tracking: Supply chain transparency, contingency plans, delay alerts
- Fine Planning: Machine scheduling, resource optimization, prioritization support
- User-friendly interface for improved decision-making
- Resilient recommendations considering both economic and ecological factors