Interviews
02 Nov 2026
AI-powered slotting optimisation algorithm
MIT–Mecalux research collaboration
Harnessing the power of AI to revolutionise logistics
The Intelligent Logistics Systems Lab brings together researchers from MIT’s Center for Transportation & Logistics and industry experts from Mecalux to develop and implement AI-based solutions targeting some of the most pressing and high-impact challenges in logistics.
The lab, founded with support from Mecalux, aims to drive advancements that enhance efficiency, sustainability, resilience and customer satisfaction within the logistics industry.
News MIT
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News
25 Sep 2026
MIT Center for Transportation & Logistics and Mecalux launch executive course on AI for supply chain decision-making
The MIT Center for Transportation & Logistics (MIT CTL) and Mecalux have launched an executive course. The programme will provide senior executives with practical insights into applying AI to warehousing and supply chain decision-making.
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Videos
21 Aug 2026
What is autonomous intelligence? (in 90 seconds)
Mecalux and MIT CTL break down autonomous intelligence and what it means for the logistics world — all in just 90 seconds. Autonomous intelligence automates routine tasks, optimises processes and analyses patterns to generate actionable insights.
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Interviews
12 Aug 2026
AI for deciding when and where to replenish inventory
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Videos
07 Aug 2026
What is predictive intelligence? (in 90 seconds)
Mecalux and MIT CTL break down predictive intelligence and explain how it’s transforming logistics — all in just 90 seconds. By forecasting future events with greater accuracy, businesses can improve planning, reduce risk and make more proactive decisions.
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News
29 Jun 2026
How machine learning is changing inventory strategy across warehouse networks
In the SupplyChainBrain podcast, MIT Senior Research Scientist Matthias Winkenbach explains how GENESIS, developed with Mecalux, optimises inventory strategy. The platform helps allocate inventory efficiently across multiple warehouses while serving as a decision-support tool.
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Videos
03 Jun 2026
What is augmented intelligence? (in 90 seconds)
Mecalux and MIT CTL break down augmented intelligence and what it means for the logistics world, all in just 90 seconds. Companies and professionals across all industries — including logistics — can benefit from having more information at their fingertips.
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News
01 Jun 2026
Mecalux and MIT showcase new AI advancements for warehousing
Mecalux and MIT presented their latest developments in warehouse AI at a Gartner conference on AI-driven logistics. The organisations unveiled GENESIS, a simulator capable of evaluating thousands of logistics scenarios in minutes using advanced AI.
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Videos
21 May 2026
Smarter warehouses with digital twin technology and the 4-Way Pallet Shuttle
Users will be able to define parameters such as the number of shuttles and the warehouse layout to test different 4-Way Pallet Shuttle configurations and identify the one that delivers the highest throughput.
MIT–Mecalux joint research projects
- Enhancing warehouse robot productivity with machine learning.
- Optimising order distribution with self-learning AI models.
Testimonials
With the support of Mecalux, we are confident that our research will lead to groundbreaking advancements in the field.
The objective of our collaboration with Mecalux is to foster disruptive innovation and achieve highly impactful use cases where AI transforms industry decision-making.
Our partnership with MIT CTL will drive research-based innovation into practice and set new standards for operational excellence in the industry.
Research themes
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Predictive intelligence
High-impact predictive capabilities powered by AI and ML, including the development of highly accurate near-term forecasting essential for highly responsive logistics services such as same-day and sub-same-day delivery.
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Prescriptive intelligence
New methods and models that combine operations research with ML and AI to solve complex combinatorial optimisation problems critical for logistics, such as vehicle routing, inventory planning and network design in a richer context of non-trivial real-world objectives, constraints and uncertainties.
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Autonomous intelligence
Control and impact of advanced logistics systems and technologies that can independently perform tasks, make decisions and learn from their environments without continuous human intervention. For instance, this includes mobile robots that assist or replace humans in warehousing or delivery activities and that operate autonomously in complex and dynamic settings.
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Collective intelligence
Collective behaviour and coordination of autonomous systems or entities working together to solve a common problem. In the context of intelligent logistics systems, this involves the synchronisation and cooperation of multiple agents such as autonomous robots or crowd-sourced carriers to optimise system performance.
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Augmented intelligence
How human decision-making can be enhanced by combining human intelligence with AI. Specifically, the lab intends to explore how decision support systems and operations management software can effectively combine human expertise with AI-driven insights.
