| Detecting customer trends for optimal promotion targeting L Baardman, SB Boroujeni, T Cohen-Hillel, K Panchamgam, G Perakis Manufacturing & Service Operations Management 25 (2), 448-467, 2023 | 45 | 2023 |
| The Periodic Joint Replenishment Problem Is Strongly 𝒩𝒫-Hard T Cohen-Hillel, L Yedidsion Mathematics of Operations Research 43 (4), 1269-1289, 2018 | 32* | 2018 |
| High-Low Promotion Policies for Peak-End Demand Models T Cohen-Hillel, K Panchamgam, G Perakis | 16* | 2018 |
| Bounded memory peak end models can be surprisingly good T Cohen-Hillel, K Panchamgam, G Perakis Available at SSRN 3360643, 2019 | 10 | 2019 |
| Past price and trend effects in promotion planning; from prediction to prescription T Cohen-Hillel Massachusetts Institute of Technology, 2020 | 1 | 2020 |
| Computer system and method to predict customer behavior based on inter-customer influences and to control distribution of electronic messages L Baardman, T Cohen, SB BOROUJENI, K Panchamgam, G Perakis US Patent App. 15/685,116, 2019 | 1 | 2019 |
| Capturing Cannibalization and Complementarity Effects in Retail. A Multimodal Deep Learning Approach T Cohen-Hillel, M Moran-Pelaez, G Perakis, D Schoess A Multimodal Deep Learning Approach (February 2, 2024), 2024 | | 2024 |
| COMPUTER SYSTEM AND METHOD FOR PREDICTING CLIENT BEHAVIOR BASED ON INFLUENCES BETWEEN CUSTOMERS AND CONTROLLING DISTRIBUTION OF ELECTRONIC MESSAGES L BAARDMAN, T Cohen, SB Boroujeni, K Panchamgam, G Perakis | | 2019 |
Georgia PerakisWilliam F. Pounds Professor of Operations Management and Operations ResearchVerified email at mit.edu
