Qlector

Qlector Using AI and digital twins to close the gap between production planning theory and shop floor reality!

QLECTOR Ltd is developing artificial intelligence-based solutions for manufacturing, logistics, and other industries powered by the QLECTOR LEAP AI Platform. We are a team of machine learning experts with long experience in bringing cutting-edge technology into practice. We have strong links with the research community, in particular Artificial Intelligence Laboratory at Joลพef Stefan Institute. Se

veral team members pursue active research and help with mentoring of Ph.D. students working on novel methods from different areas of artificial intelligence. Our team members published original research from the areas of machine learning, data mining, text mining, information retrieval, network analysis, and the semantic web. The greatest asset of our team is the ability to bring the latest developments from the research community and use them to address real business needs and help our customers in their digital journey. Qlector Website: https://qlector.com/
Qlector LinkedIn Page: https://www.linkedin.com/company/qlector/

The hardest job in the factory just got easier - learn how agentic AI in production planning can help you raise producti...
02/06/2026

The hardest job in the factory just got easier - learn how agentic AI in production planning can help you raise productivity and cut costs. ๐Ÿ‘‡
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When a machine unexpectedly breaks down, a material delivery is late, or a priority customer rushes in with an urgent order, the production plan needs to change quickly.
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But this usually triggers a stressful 30-minute struggle of digging through spreadsheets while trying to put out the fire.
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Lately, absolutely everyone has been talking about Agentic AI as the ultimate solution to this chaos. And if we cut through the hype, a major problem emerges because almost everyone defines it differently. Is it just an advanced chatbot, a digital assistant, or are we talking about autonomous robots running the floor?
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The reality sits somewhere in between.
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We wrote a new article to clear up the confusion and show how this technology operates in real manufacturing environments.
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For example, how Agentic AI supports the planner by giving standard workflows a brain to handle exceptions automatically, and how this transforms a 30-minute panic into a calm, one-minute review.
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The article also covers practical tips to implement these systems safely while keeping a human firmly in control.
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๐Ÿ‘‡ The link to the full article is in the first comment below!

The Global Smart Manufacturing Summit kicks off tomorrow in Munich! Our CRO, Ognjen Backoviฤ‡, will be on the ground and ...
27/05/2026

The Global Smart Manufacturing Summit kicks off tomorrow in Munich! Our CRO, Ognjen Backoviฤ‡, will be on the ground and ready to connect. ๐Ÿญ
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If you are attending and looking for a better way to handle shop-floor complexities, control last-minute changes, and optimize your production planning with AI, drop Ognjen a DM to grab a coffee and sync up tomorrow or Friday! โ˜•๐Ÿค
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See you there!
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Kako hitro se lahko vaลกa proizvodnja odzove na nenadne spremembe in motnje? ๐Ÿญ โ€‹Jutri bomo govorili natanko o tem. Naลก CP...
21/05/2026

Kako hitro se lahko vaลกa proizvodnja odzove na nenadne spremembe in motnje? ๐Ÿญ
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Jutri bomo govorili natanko o tem. Naลก CPO, Viktor Jovanoski, bo na spletnem seminarju podrobneje predstavil, kako agentna UI pomaga planerjem preiti od roฤnega "gaลกenja poลพarov" do pametnega, podatkovno podprtega odloฤanja.
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ล e vedno se nam lahko pridruลพite in izveste veฤ o praktiฤnih korakih implementacije.
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Povezava za prijavo je v prvem komentarju. ๐Ÿ‘‡

Global Smart Manufacturing Summit in Munich is just around the corner, and our CRO, Ognjen Backoviฤ‡, will be joining the...
19/05/2026

Global Smart Manufacturing Summit in Munich is just around the corner, and our CRO, Ognjen Backoviฤ‡, will be joining the event on May 28thโ€“29th! ๐Ÿญ
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Heโ€™s looking forward to connecting with industry leaders to discuss how Qlector solves real-world production challenges through:
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๐Ÿ”น Replacing messy spreadsheets with optimised, realistic production plans.
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๐Ÿ”น Using real shop-floor data to simulate scenarios and drive intelligent decisions.
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๐Ÿ”น Controlling last-minute changes and aligning workforce schedules with real-time demand.
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Attending too? Send Ognjen a DM to grab a coffee and chat about bringing AI-powered production planning to your shop floor. ๐Ÿค โ˜•
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See you in Munich! ๐Ÿฅจ
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Kako preiti od klasiฤnega, roฤnega planiranja proizvodnje k pametnim sistemom umetne inteligence? ๐Ÿญโ€‹Naลก CPO, Viktor Jova...
14/05/2026

Kako preiti od klasiฤnega, roฤnega planiranja proizvodnje k pametnim sistemom umetne inteligence? ๐Ÿญ
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Naลก CPO, Viktor Jovanoski, bo delil svoje izkuลกnje na prihajajoฤem spletnem seminarju "Umetna inteligenca za uฤinkovitejลกo proizvodnjo", kjer bo podrobneje predstavil implementacijo agentne UI v proces planiranja proizvodnje.
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Na praktiฤen naฤin bo razloลพil, kako vsakodnevne izkuลกnje iz proizvodnje pretvoriti v pameten sistem, ki planerjem pomaga pri sprejemanju boljลกih odloฤitev, hitrejลกem odzivanju na spremembe in ustvarjanju realnejลกih planov.
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๐Ÿ“… Pridruลพite se nam 22. maja in ugotovite, kako pripraviti svojo proizvodnjo na prihodnost!
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Povezava za veฤ informacij in prijavo je v prvem komentarju. ๐Ÿ‘‡
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06/05/2026

โ€œWe had a plan. Then the shift started, and the reality of absenteeism kicked in.โ€
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On paper, the production plan looks solid, but in reality, one absence, one missing skill, or one change on the shop floor can throw everything off.
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That is why more manufacturers are starting to think differently.
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Not by asking, โ€œHow do we fit people into the plan?โ€
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But by asking, โ€œHow do we build the plan around the workforce we actually have?โ€
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We call this people-first production planning.
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It is a simple shift in logic, but it changes a lot:
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๐Ÿ”นbetter visibility into workforce availability,
๐Ÿ”นmore realistic schedules,
๐Ÿ”นfaster response to absences,
๐Ÿ”นand less daily firefighting for planners.
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We wrote more about this in our latest blog, including how this works in practice and why it matters more than ever on the shop floor.
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Check the blog in the comments. ๐Ÿ‘‡
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๐Ÿš€ ๐—ค๐—น๐—ฒ๐—ฐ๐˜๐—ผ๐—ฟ ๐—ถ๐˜€ ๐—ต๐—ฒ๐—ฎ๐—ฑ๐—ถ๐—ป๐—ด ๐˜๐—ผ ๐—›๐—ฎ๐—ป๐—ป๐—ผ๐˜ƒ๐—ฒ๐—ฟ ๐— ๐—ฒ๐˜€๐˜€๐—ฒ ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฒ!โ€‹Next week, weโ€™ll be in Hannover, exhibiting at the worldโ€™s leading industri...
14/04/2026

๐Ÿš€ ๐—ค๐—น๐—ฒ๐—ฐ๐˜๐—ผ๐—ฟ ๐—ถ๐˜€ ๐—ต๐—ฒ๐—ฎ๐—ฑ๐—ถ๐—ป๐—ด ๐˜๐—ผ ๐—›๐—ฎ๐—ป๐—ป๐—ผ๐˜ƒ๐—ฒ๐—ฟ ๐— ๐—ฒ๐˜€๐˜€๐—ฒ ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฒ!
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Next week, weโ€™ll be in Hannover, exhibiting at the worldโ€™s leading industrial trade fair, as part of the SPIRIT Slovenia showcase.
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Stop by to see:
โ€ข How to make your shop floor schedules actually realistic
โ€ข How weโ€™re helping a leading German manufacturer optimize complex shifts for nearly 9,000 employees
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If youโ€™re dealing with planning complexity, workforce challenges, or just curious about what weโ€™re building, letโ€™s talk.
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๐Ÿ“ ๐—ช๐—ต๐—ฒ๐—ฟ๐—ฒ ๐˜๐—ผ ๐—ณ๐—ถ๐—ป๐—ฑ ๐˜‚๐˜€: Hall 14, Booth J86
๐Ÿ“… ๐—ช๐—ต๐—ฒ๐—ป: Next week!
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Need tickets for Hannover Messe? Message us directly, and weโ€™ve got you covered! ๐ŸŽŸ๏ธ
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See you in Hannover!
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Qlector is heading to the Global Supply Chain and Logistics Summit next week! ๐Ÿ‡ณ๐Ÿ‡ฑโ€‹Our CRO, Ognjen Backoviฤ‡, will join ind...
08/04/2026

Qlector is heading to the Global Supply Chain and Logistics Summit next week! ๐Ÿ‡ณ๐Ÿ‡ฑ
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Our CRO, Ognjen Backoviฤ‡, will join industry leaders in Amsterdam on April 16-17 to discuss the future of global operations and the tech driving it forward.
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If youโ€™re attending and want to discuss how to make supply chains and production planning smarter, more resilient, and more connected to real-world decision-making, reach out to Ognjen directly.
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See you in Amsterdam!
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โ“ What happens when one production step is delayed?โ€‹โžก๏ธ It affects everything that follows!โ€‹Thatโ€™s why production plannin...
02/04/2026

โ“ What happens when one production step is delayed?
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โžก๏ธ It affects everything that follows!
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Thatโ€™s why production planning needs to reflect the real sequence of operations.
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With the latest update in Qlector LEAP, we upgraded the existing planning logic with sequential planning. The system now checks dependencies between operations, verifies the completion status of production phases, and also takes related orders and input materials into account.
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For manufacturers, this means:
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โ€ข more realistic production timelines
โ€ข better feasibility assessment
โ€ข faster conflict detection
โ€ข more efficient scheduling
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And most importantly, production plans become much closer to what actually happens on the shop floor.
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To explore more about the latest LEAP updates, see the link in the first comment. ๐Ÿ‘‡

๐ˆ๐ฌ ๐€๐ˆ ๐ข๐ง ๐ฆ๐š๐ง๐ฎ๐Ÿ๐š๐œ๐ญ๐ฎ๐ซ๐ข๐ง๐  ๐Ÿ๐ข๐ง๐š๐ฅ๐ฅ๐ฒ ๐ฆ๐จ๐ฏ๐ข๐ง๐  ๐›๐ž๐ฒ๐จ๐ง๐ ๐ญ๐ก๐ž ๐ก๐ฒ๐ฉ๐ž? ๐˜๐ž๐ฌ โ€“ ๐›๐ฎ๐ญ ๐จ๐ง๐ฅ๐ฒ ๐ข๐Ÿ ๐ฒ๐จ๐ฎ ๐ ๐ž๐ญ ๐ญ๐ก๐ž ๐Ÿ๐จ๐ฎ๐ง๐๐š๐ญ๐ข๐จ๐ง๐ฌ ๐ซ๐ข๐ ๐ก๐ญ!โ€‹That was probabl...
24/03/2026

๐ˆ๐ฌ ๐€๐ˆ ๐ข๐ง ๐ฆ๐š๐ง๐ฎ๐Ÿ๐š๐œ๐ญ๐ฎ๐ซ๐ข๐ง๐  ๐Ÿ๐ข๐ง๐š๐ฅ๐ฅ๐ฒ ๐ฆ๐จ๐ฏ๐ข๐ง๐  ๐›๐ž๐ฒ๐จ๐ง๐ ๐ญ๐ก๐ž ๐ก๐ฒ๐ฉ๐ž? ๐˜๐ž๐ฌ โ€“ ๐›๐ฎ๐ญ ๐จ๐ง๐ฅ๐ฒ ๐ข๐Ÿ ๐ฒ๐จ๐ฎ ๐ ๐ž๐ญ ๐ญ๐ก๐ž ๐Ÿ๐จ๐ฎ๐ง๐๐š๐ญ๐ข๐จ๐ง๐ฌ ๐ซ๐ข๐ ๐ก๐ญ!
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That was probably the strongest feeling after the Smart Manufacturing World Summit in Stuttgart, where our CRO, Ognjen Backoviฤ‡, joined discussions with industrial leaders and technology experts.
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The most compelling examples didnโ€™t talk about โ€œAI transformationโ€ in abstract terms. They focused on real operational problems, constraints, and measurable results. Less buzzwords. More reality.
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A few themes kept coming up:
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๐€๐ˆ ๐จ๐ง๐ฅ๐ฒ ๐œ๐ซ๐ž๐š๐ญ๐ž๐ฌ ๐ฏ๐š๐ฅ๐ฎ๐ž ๐ฐ๐ก๐ž๐ง ๐ข๐ญ ๐ข๐ฌ ๐›๐ฎ๐ข๐ฅ๐ญ ๐จ๐ง ๐ญ๐ซ๐ฎ๐ฌ๐ญ๐ฐ๐จ๐ซ๐ญ๐ก๐ฒ ๐จ๐ฉ๐ž๐ซ๐š๐ญ๐ข๐จ๐ง๐š๐ฅ ๐๐š๐ญ๐š, not on assumptions, static spreadsheets, or disconnected systems. Or better said, the quality of the foundation matters more than the sophistication of the model.
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๐–๐จ๐ซ๐ค๐Ÿ๐จ๐ซ๐œ๐ž ๐œ๐š๐ฉ๐š๐›๐ข๐ฅ๐ข๐ญ๐ฒ ๐ข๐ฌ ๐›๐ž๐œ๐จ๐ฆ๐ข๐ง๐  ๐š ๐ซ๐ž๐š๐ฅ ๐จ๐ฉ๐ž๐ซ๐š๐ญ๐ข๐จ๐ง๐š๐ฅ ๐ข๐ฌ๐ฌ๐ฎ๐ž, not just an HR topic. Manufacturers need better visibility into who can do what, where capability gaps exist, and how to build more resilient operations around that reality.
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๐€๐ ๐ž๐ง๐ญ๐ข๐œ ๐€๐ˆ ๐๐ซ๐ž๐ฐ ๐š ๐ฅ๐จ๐ญ ๐จ๐Ÿ ๐ข๐ง๐ญ๐ž๐ซ๐ž๐ฌ๐ญ, but the message was clear here too: these systems only become useful when they sit on top of a strong operational model of the business. Without that, they risk becoming just another black box.
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Overall, the direction feels clear. The manufacturers who will get the most value from AI will be the ones who combine solid data, the right use cases, and a disciplined path to measurable outcomes, rather than chasing the most advanced models first.
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๐Ÿ“ฉ Feel free to reach out if you're exploring where AI can deliver measurable value in your manufacturing optimization processes โ€“ especially in production planning and people-first production scheduling.
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Rovลกnikova Ulica 7
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Tuesday 08:00 - 16:00
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