The Digital Supply Chain Revolution is Taking Off

Do you want to be ready for the digital age and turn data analytics into competitive advantage? The application of visual analytics (VA) and augmented reality (AR) technology is the key to unlocking the transformative power of supply chain and logistics Big Data.

Seamless data visibility and awareness

Historic transactional and operational data

Real-time supply chain and logistics data and context information

Flexible dis-/aggregation of data (“drill down”)

Intuitive data analytics and decision support

Descriptive and predictive analytics

Prescriptive models and analyses

Optimization and simulation modeling

Immersive collaboration and experiences

High-fidelity audio-visual communication

Collaborative data exploration and analysis

Realistic simulation of operational environments

Interactive Visualization Turns Data Into Insight


The MIT Center for Transportation & Logistics has been a trusted and innovative partner for Anheuser-Busch InBev’s Global Logistics business for several years now.  The new Visual Analytics Lab continues to show the forward-thinking nature of MIT’s research and we look forward to the opportunities and savings it can unlock for our business.

Elito Siqueira, Global VP of Operations and Logistics, Anheuser-Busch InBev

At BASF, we strongly believe in the value of visualization of data and information Developing new ways of intuitively interacting with complex data and decision support models leveraging technological advancements such as Augmented Reality will be important to unlocking the full potential of Big Data analytics at all levels of our supply chain. The MIT Visual Analytics Lab offers the opportunity to experiment with this kind of technology to turn our data into valuable insights at BASF.

Ralf Busche, SVP of Global Supply Chain Strategy & Performance, BASF Group

Lab Technology

Multi-touch interactive video wall

Multi-touch interactive video wall

Multi-user tactile interaction with interactive dashboards

  • Real-time visibility of operational performance of suppliers, facilities, vessels, inventories, channels, customers, etc.
  • Dynamic alerts of pending risks and disruptions
  • Remote communication and information sharing
Capacitive-touch data mapping table

Capacitive-touch data mapping table

Collaborative analysis of geospatial information

  • Geo-mapping and control of logistics and supply chain data
  • Dynamic overlay of historic, real-time or predicted context information such as customer, supplier, infrastructure, traffic, weather, socio-economic, policy, or social media data
Multi-user augmented reality system

Multi-user augmented reality system

Immersive, holographic communication & collaboration

  • Holographic remote in-person meetings
  • Joint three-dimensional data exploration, analysis and manipulation with multiple local and remote collaborators
  • Virtual simulation of real-world operational environments
Integration of mobile secondary devices

Integration of mobile secondary devices

Real-time visibility & remote collaboration

  • Mobile data visibility and analysis on demand
  • Mobile collaboration and communication
  • Mobile holographic visualization and communication

Lab Demo

Interdisciplinary Innovation

Located at the heart of a highly interdisciplinary research ecosystem at MIT, and drawing on a unique range of managerial and technical expertise, the Visual Analytics Lab is harnessing interactive visualization and augmented reality technology to change the way supply chain and logistics data is accessed, understood and utilized.

Data science and quantitative modeling

Data science and quantitative modeling

for data-driven analyses and decision support tools in logistics, supply chain, manufacturing, and many other fields

Human-machine interaction

Human-machine interaction

that leverages auditory, tactile, and visual cues to make the use of data, models and analytics exceptionally user-friendly

Software development

Software development

that achieves more efficient data collection, processing, analysis and display, enabling more effective data analysis and decision making

Hardware and system design

Hardware and system design

to support seamless data visualization and analysis and immersive remote collaboration with augmented reality technology

Business models

Business models

turning innovations in interactive visualization and augmented reality applications into commercially viable products and services


Dr. Matthias Winkenbach

Dr. Matthias Winkenbach

Director, Visual Analytics Lab, MIT CTL
Director, Megacity Logistics Lab, MIT CTL

Prof. Yossi Sheffi

Prof. Yossi Sheffi

Director, MIT Center for Transportation and Logistics
Elisha Gray II Professor of Engineering Systems, MIT
Professor, Civil and Environmental Engineering, MIT

Join Us in Shaping the Future

Become a partner of the MIT Visual Analytics Lab and take a seat at the forefront of data innovation in supply chain and logistics. Gain priority access to intellectual property developed at the lab, use it for workshops, trainings and executive education, and tap into MIT’s unique talent pool. Strategic partners may also be recognized with exclusive naming rights.

Contact us today to learn more!


Dr. Matthias Winkenbach
Director, MIT CTL Visual Analytics Lab

Massachusetts Institute of Technology (MIT)
Center for Transportation & Logistics (CTL)
77 Massachusetts Avenue, E90-9150
Cambridge, MA 02139

+1 (857) 253-1639