AI Agents Are Coming to the Shop Floor – Here’s Why It Matters

Have you wondered what’s next in production planning? While AI continues to dominate the conversation, two terms are quickly rising: AI Agents and Agentic Workflows. In this blog, we’ll explain them in simple terms—what they are, how they work on the shop floor, and why they matter to you. If you’re still juggling multiple systems […]
What Production Planners Need to Know About LLMs, Machine Learning, and AI Agents

AI is a hot topic in manufacturing, but it’s easy to get lost in the buzzwords or even easier to wonder, ‘What’s in it for me?’ Although many production planners have likely experimented with ChatGPT or similar tools powered by Large Language Models (LLMs), they often aren’t sure how this kind of technology can be […]
No data, no AI: Key Learnings from Smart Manufacturing Forum 2025

Have you ever wondered what AI projects in manufacturing really look like? If you’ve been involved in AI projects on the shop floor, you know that getting quality data ready takes a lot of time. In fact, only about 10 – 20% of the project goes into building the model, while the remaining 80 – […]
Insights from Qlector Leap Customer Satisfaction Survey

At Qlector, our mission is to empower manufacturing companies with smarter, AI-powered production planning, scheduling and optimization. To ensure we continuously meet our user expectations, we conducted a Customer Satisfaction Survey in December 2024. Here’s a summary of the key insights we gathered. Who Participated? We invited 353 active users of Qlector Leap, both in […]
Shop Floor in 2025: What Awaits Us This Year

Challenges evolve as technology evolves. Once dominated by manual labor and repetitive tasks, today’s shop floors are rapidly turning into innovation hubs. The main driver? Advanced tech, embraced across the entire industry. To stay competitive and relevant, we must adapt and carefully decide where to invest our resources. Although big-picture trends—like supply chain risks, sustainability, […]
ChatGPT Falls Short in Manufacturing — Here’s Why You Should Rely on Proven, Old-School AI

Today, nearly every solution in smart manufacturing promotes AI as a key selling point. But how do you separate the wheat from the chaff and determine what can truly help you?
ERP, MES, and APS Explained: A Simple and Short Guide

We must agree that, in the manufacturing world, there are a lot of abbreviations and acronyms. While they can be confusing for newcomers, the real benefit comes from understanding how these terms are connected and what they bring to the production plant and employees. Almost a “must” for modern manufacturing, ERP, MES, and APS systems […]
Four Steps to Implementing AI in Production Planning and Scheduling

How quickly you can introduce artificial intelligence (AI) into production planning depends on the company’s digital maturity and data culture. In our experience, the entire process involves four main steps: an organized factory calendar, a correct plan, accurate simulations, and finally, the holy grail of any manufacturing company – automated production planning and scheduling. Based […]
Elevate Your SAP with QLECTOR LEAP

How can you successfully enrich and extend one of the most renowned yet complex enterprise resource planning software systems – SAP? By utilizing the latest artificial intelligence (AI) technologies! At Qlector, we have developed a unified and predictive production guiding platform with actionable insights, designed to seamlessly integrate and enhance SAP across five key areas: […]
Warum scheitern 50 % aller Projekte bei der Implementierung von APS-Lösungen?

Advanced Production Planning and Scheduling oder (APS)-Lösungen, die auf künstlicher Intelligenz und digitalen Zwillingen basieren, steigern die Produktivität und Flexibilität erheblich und ermöglichen eine effiziente Vorbereitung und Reaktion auf Arbeitskräftemangel und Unsicherheiten in den Lieferketten. Leider sind sich die meisten Unternehmen nicht der Probleme bewusst, die bei der Implementierung dieser Lösungen auf sie lauern. Die […]