Qunevo provides cloud software for automated detailed scheduling in complex production environments. The solution optimizes order sequences, lot sizes, and resource allocation using advanced algorithms and AI automation. This results in minimized setup times, improved adherence to deadlines, and increased planning transparency for manufacturing operations.
Funding
Funding not disclosed
Founders
Product
Problem
Manufacturers with variant‑rich, low‑volume or highly flexible production lines often rely on manual Excel sheets or generic ERP/MES tools for fine planning. This leads to lengthy setup times, missed delivery dates, and frequent schedule adjustments when capacity constraints or disruptions occur.
Solution
Qunevo delivers a cloud‑based fine‑planning platform that automates the sequencing of orders, determination of lot sizes, and allocation of machines, tools, shifts, and personnel. The system applies advanced optimization algorithms and AI models (including GPT and deep‑learning techniques) to generate robust schedules that respect real‑world constraints such as change‑over times and resource availability. A digital‑twin simulation reproduces the production environment, enabling precise what‑if analyses and rapid response to unexpected events. Users interact through a centralized web application that provides transparent dashboards, role‑based plant boards, and seamless integration with existing ERP or MES systems via APIs. The result is reduced setup time, higher on‑time delivery, and greater operational visibility.
Target Audience
Primary users are production planners, operations managers, and supply‑chain teams at manufacturers that run complex, flexible lines—such as automotive, aerospace, electronics, and custom‑part producers.
Features
- AI‑driven optimizer that calculates order sequences, lot sizes, and resource assignments while minimizing change‑over durations
- Digital twin module that simulates production flows for accurate scenario planning and disruption handling
- Web‑based interface with real‑time plant board, KPI dashboards, and role‑based access controls
- Native connectors and REST/FHIR‑compatible APIs for integration with ERP, MES, and other shop‑floor systems
- Automated routine tasks (e.g., schedule updates, capacity checks) powered by GPT and deep‑learning decision logic
- What‑if analysis tools for capacity planning, shift adjustments, and demand fluctuations
- Cloud‑hosted SaaS architecture with multi‑tenant security, data encryption, and automatic updates
- Configurable rule engine to align scheduling outcomes with specific production goals (e.g., minimizing inventory, maximizing machine utilization)