Manufacturing Intelligence & AI Insights

Practical insights on how to handle production chaos, from managing sudden shift changes to using data to meet your deadlines every time.

Even a Perfect Production Plan Is Useless Without the Workforce That Can Execute It

How Leading Manufacturers Use People-First Production Planning to Build Realistic Production Plans Around Their Actual Workforce Capacity In modern manufacturing, machines define theoretical capacity – but people ultimately determine what is actually possible on the shop floor. People-first production planning introduces a new perspective: planning production around real workforce capacity rather

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LEAP Feature Updates for Smarter Production Planning

In today’s complex manufacturing environments, production planners must coordinate machines, materials, people, and delivery deadlines while dealing with constant changes on the shop floor. To support more realistic and reliable production planning, we have introduced several new capabilities in Qlector LEAP. These updates improve how production plans are created, how delivery deadlines are met, a

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Why Production Plans Still Fail and What 2026 Is Teaching Us About It

If you walk into a modern factory today, you’ll see smart machines, sensors everywhere, and a flood of data. And yet, production plans still break. This shouldn’t come as a surprise. According to a recent industry survey*, 70% of manufacturers still collect data manually, creating a bottleneck that slows decision-making and exposes the limits of […]

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Four Steps to Implementing AI in Production Planning and Scheduling

Qlector Research (Jun–Sep 2025)Qlector interviewed several of Slovenia’s largest, high-performing manufacturing companies between June and September this year. We wanted to understand their day-to-day approach to production planning, what the real challenges are, how they are solved, and what they intend to invest in next. The results are relevant to plant and operations leaders responsible […]

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How Leading Manufacturers Plan Production: 50% Still Depend on Excel and Paper

Qlector Research (Jun–Sep 2025)Qlector interviewed several of Slovenia’s largest, high-performing manufacturing companies between June and September this year. We wanted to understand their day-to-day approach to production planning, what the real challenges are, how they are solved, and what they intend to invest in next. The results are relevant to plant and operations leaders responsible […]

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Why Manufacturers Lose Millions Every Year: The Illusion of ERP Normatives in Production Planning

While manufacturing companies lose millions due to static, outdated ERP normatives, Qlector LEAP brings together actual, historical, and normative data in real time to deliver realistic production time predictions and reliable production plans. When we meet potential users at events or sales presentations, we almost always get the same question: What makes Qlector LEAP truly […]

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How AI Is Quietly Revolutionizing Downtime Management in Manufacturing

Downtime is one of the most expensive and stubborn challenges in modern manufacturing. But unlike traditional methods for production planning and scheduling, new industrial AI-based solutions are not fighting it with guesswork. By leveraging Machine Learning and Digital Twin technologies through advanced planning and scheduling (APS) systems, manufacturers are now able to simulate thousands of […]

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The ‘Reality Gap’ – A Silent Killer of Your Manufacturing Operations

An hour of unplanned downtime can cost up to $2.3 million for large manufacturing companies operating in the automotive sector. For small and medium-sized enterprises, the cost can reach $150,000 per hour. These staggering figures underscore the critical importance of addressing the Reality Gap – the disconnect between production plans and actual shop floor operations. […]

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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 […]

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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 – […]

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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 […]

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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, […]

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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 […]

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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: […]

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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 Implementie

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Why do 50% of projects for the implementation of APS solutions fail?

Advanced Planning and Scheduling (APS) solutions based on artificial intelligence and digital twins significantly increase productivity and flexibility and enable effective response to labor shortages and supply chain uncertainties. Unfortunately, most companies are not aware of all the pitfalls that await them when implementing these solutions. Manufacturing is constantly faced with the paradoxic

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AI implementation in manufacturing: Where do we start?

The implementation of AI solutions into manufacturing plants and processes can be sold as a no-brainer, but in reality, the management, plant manager, and other production planning experts have to develop their approach to digital transformation, what problems they want to solve, how they will define their markers of success, what the desired results are, […]

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What I have learned talking to 100 manufacturing companies?

Production must go on, no matter what, right? That was not the case during the COVID situation. The reality showed the vulnerability of manufacturing companies due to high dependence on key personnel. I am sharing how the COVID shook the foundations of how we worked yesterday and what is already changing. Working the old way […]

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QLECTOR’s seminar on production planning: we focused on best practices and sharing experiences!

What are the best practices in Slovenian manufacturing companies in deploying and using advanced planning and scheduling (APS) tools? How can we create a space for experience and knowledge sharing for production planning experts? And finally – are we as companies mature enough to implement artificial intelligence in production planning processes? We successfully answered all […]

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What happens when AI takes over production planning?

If we take a closer look at production planning, we all face very similar, if not the same issues. We all want to narrow the gap between theory and shop floor reality and better understand what, when and how much customers will buy. We are also trying to ensure more efficient communication and use of […]

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Can IT in Industry 4.0 replace all the spreadsheets?

IT systems are essential for operations in manufacturing. They cover everything from business, execution to communication. Usually, systems are designed as static structures that natural workflow has to be fitted to. Practice shows that a lot of effort is lost for fitting and bypassing those structures. Is it possible to create a system that fits […]

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Centralizing production planning in the headquarters?

A realistic production plan is built on quality data and experience. Production plans must be maintained due to the constant change on the shop floor. Collecting feedback from shop floor can be carried out by phone, emails, and most effectively, by meetings. But what happens if suddenly the planners are moved to central offices and […]

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Industry 4.0: improving with predictive capacity

Progress is driven by constantly asking what can be done to improve the existing situation. At QLECTOR we work hard to help our clients answer this question proactively by offering predictive capabilities built into QLECTOR LEAP platform. In previous posts we discussed the importance of visibility and transparency: real-time information about our factory helps us […]

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Smart factories as lean manufacturing evolution

The purpose of lean is to adopt a disposition to remove inefficiencies from any production phase in the company and never produce more products than those required by demand.This proposition drives the culture and configures the whole production system and thus impacts not only processes but the whole factory design and architecture. The convenience of […]

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Industry 4.0: a growing opportunity!

There is a growing need to enhance existing processes in order to satisfy customer expectations which define value and influence fidelity. The growing amounts of sensors, data, computing resources, services and usage of artificial intelligence reshaped many areas in the society and are increasingly influencing the manufacturing sector [1] [2]. The fact that even small […]

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Semantic Web and Industry 4.0 at ESWC’19

QLECTOR attended the ESWC 2019 conference! This was a great chance to get up to date on best practices related to Semantic Web. Among presentations, we got to know firsthand about ongoing developments from the companies that leverage knowledge graphs to optimize their production processes. In the following post, we highlight two talks that showcase […]

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Speed is all you need: continuous delivery delivered

At Qlector we are committed to develop and deliver high quality software and take into account best engineering practices as listed in 12 factor apps. In the following post we describe how we introduced Continuous Delivery. By doing so, we reduce waste, costs of development as well as increase quality. First we will briefly describe […]

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Future of Manufacturing and Continuing Supply Chain Collaboration

Without data, you’re just another person with an opinion. W. Edwards Deming. This year we attended FutureMSCE event, which brings together professionals from all Slovenia and abroad regarding supply chain collaboration. It was a great congress and there many points where we envisioned ourselves delivering value by solving supply chain problems. Through this post, […]

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