Lennart Baardman

I am an Assistant Professor of Technology and Operations at the Ross School of Business. Prior to joining the University of Michigan, I received my Ph.D. in Operations Research from the Massachusetts Institute of Technology, an MASt in Mathematics from the University of Cambridge, and a BSc in Econometrics and Operations Research from the University of Groningen.

My research interests focuses on retail analytics wherein I use predictive and prescriptive techniques from mathematical modeling, optimization, statistics, and machine learning to solve practice- and data-driven problems primarily for revenue management and supply chain management in retail. In my current research, I develop and test algorithms for in-store promotions, online advertising, assortment planning, and demand forecasting. These research problems are motivated by the practice and data coming from collaborations and interactions with Adobe, Amazon Fresh, Armoire, CMPC, GoPuff, Hello Fresh, Hungryroot, Johnson & Johnson, Oracle and others.

Updated April 2024

Research

Papers Published and Accepted

Detecting Customer Trends for Optimal Promotion Targeting, 2023, with S. Borjian Boroujeni, T. Cohen-Hillel, K. Panchamgam, G. Perakis, Manufacturing & Service Operations Management 25(2):448-467.

First place in POMS College of Supply Chain Management Best Student Paper Award (2019).
Honorable mention in MSOM Practice-Based Paper Competition (2019).
Finalist in INFORMS Innovative Applications in Analytics Award (2019).
Finalist in INFORMS Service Science Cluster Best Paper Award (2019).
Finalist in INFORMS Social Media Analytics Best Student Paper Award (2019).
Finalist in POMS-JD.com Best Data-Driven Research Paper Competition (2019).

The Role of Optimization in Some Recent Advances in Data-Driven Decision-Making, 2023, with C. Rares, G. Perakis, D. Singhvi, O. Skali Lami, L. Thayaparan, Mathematical Programming 200:1-35.

Using Business Analytics to Upgrade Sales Promotions, 2021, with M.C. Cohen, K. Panchamgam, G. Perakis, Management and Business Review 1(3):54-63.

A Special Case of the Multiple Traveling Salesman Problem in End-of-aisle Picking Systems, 2021, with K.J. Roodbergen, H.J. Carlo, A.H. Schrotenboer, Transportation Science 55(5):1151-1169.

Scheduling Promotion Vehicles to Boost Profits. 2019, with M.C. Cohen, K. Panchamgam, G. Perakis, D. Segev, Management Science 65(1):50-70.

First place in INFORMS Service Science Cluster Best Paper Award (2016).

Job Sequencing in a Miniload System, 2016, with K.J. Roodbergen (2016), 14th IMHRC Proceedings, Karlsruhe.

Papers Under Review and In Progress

Assortment and Fulfilment Optimization in Online Grocery Retail, with R. Hu, H.S. Ahn, submitted to Management Science.

Ordering and Ranking Products for an Online Retailer, with Z. Zhang, H.S. Ahn, to be submitted to Manufacturing & Service Operations Management.

Learning Optimal Online Advertising Portfolios with Periodic Budgets, with E. Fata, A. Pani, G. Perakis, resubmit to Operations Research.

Finalist in INFORMS Service Science Cluster Best Student Paper Award (2019).
Finalist in George Nicholson Student Paper Competition (2018).

Dynamic Creative Content Optimization in Online Display Advertising, with E. Fata, A. Pani, G. Perakis, resubmit to Management Science.

Leveraging Comparables for New Product Sales Forecasting, with I. Levin, G. Perakis, D. Singhvi, tesubmit to Management Science.

First place in POMS Applied Research Challenge (2018).
First place in POMS College of Supply Chain Management Best Student Paper Award (2018).
Honorable mention in MIT Operations Research Center Best Student Paper Competition (2018).

Pass-through Constrained Vendor Funds for Promotion Planning, with K. Panchamgam, G. Perakis, major revision in Manufacturing & Service Operations Management.

Costly Data Collection in the Newsvendor Problem, with Z. Zhang, H.S. Ahn, work in progress.

Improving Product Availability to Reduce Customer Attrition in Clothing Rental Subscriptions, with X Wang, work in progress.

Patents

US20190066128A1 - Computer System and Method to Predict Customer Behavior Based on Inter-Customer Influences and to Control Distribution of Electronics Messages. Application published in February 2019 (L. Baardman, S. Borjian Boroujeni, T. Cohen-Hillel, K. Panchamgam, G. Perakis)

Teaching

TO 640 Big Data Tools and Techniques, 2020 Winter, 2020 Fall, 2022 Winter, 2022 Fall, 2024 Winter

MBAN 554 Data Exploration and Visualization, 2022 Fall

TO 899 Doctoral Seminar in Technology and Operations, 2022 Winter

TO 899 Predictive and Prescriptive Analytics in Operations Management, 2019 Fall

Students

Zijin Zhang co-advised with Hyun-Soo Ahn (2019-present)
Renjun Hu co-advised with Hyun-Soo Ahn (2020-present)
Xuening Wang (2021-2023), PhD at MIT
Zequn Chen (2021-2023), PhD at Dartmouth College

Honors

University of Michigan Honored Instructor (2024)
Neary Teaching Excellence Award - Master of Business Analytics (2023)
First place in Tauber Spotlight! Competition (2021)
Finalist in INFORMS Innovative Applications in Analytics Award (2020)
Finalist in INFORMS Service Science Cluster Best Paper Award (2019)
Finalist in INFORMS Service Science Cluster Best Student Paper Award (2019)
Finalist in INFORMS Social Media Analytics Best Student Paper Award (2019)
Honorable mention in MSOM Practice-Based Paper Competition (2019)
Finalist in POMS-JD.com Best Data-Driven Research Paper Competition (2019)
First place in POMS College of Supply Chain Management Best Student Paper Award (2019)
Finalist in George Nicholson Student Paper Competition (2018)
MIT Sloan Excellence in Teaching Award - Outstanding Teaching Assistant (2018)
First place in POMS Applied Research Challenge (2018)
First place in POMS College of Supply Chain Management Best Student Paper Award (2018)
Honorable mention in MIT Operations Research Center Best Student Paper Competition (2018)
First place in INFORMS Service Science Cluster Best Paper Award (2016)
Finalist in Facebook Fellowship (2016)
Finalist in INFORMS Revenue Management and Pricing Practice Award (2015)
Groningen University Fund-100 Prize (2013)
Member of the Honours College of the University of Groningen (2011-2013)

Contact

Address
Michigan Ross School of Business
701 Tappan Street, Room R4484
Ann Arbor, MI 48109-1234
United States

Phone
+1 617-417-7461
Email
baardman at umich dot edu