Faster, Smarter, Leaner: How Flipkart Optimized Its Supply Chain to Unlock Growth
Published Online:30 Jan 2026https://doi.org/10.1287/inte.2025.0282
References
- (2004) Dynamic balancing of inventory in supply chains. Eur. J. Oper. Res. 159(2):296–317.Google Scholar
- (2022) Inventory placement optimization in e-commerce: The need for speed. Informs Annual Conf. (Institute for Operations Research and the Management Sciences, Catonsville, MD).Google Scholar
- (2016) Optimal choices for the e-tailer with inventory rationing, hybrid channel strategies, and service level constraint under multiperiod environments. Math. Problems Engrg. 2016(1):1–12.Google Scholar
- (2023) Tsmixer: Lightweight MLP-mixer model for multivariate time series forecasting. Proc. 29th ACM SIGKDD Conf. Knowledge Discovery Data Mining (Association for Computing Machinery, New York), 459–469.Google Scholar
- HiGHS (2025) HiGHS—High performance software for linear optimization. Accessed August 28, 2025, https://highs.dev.Google Scholar
- (2023) Optimal wave design in fulfilment centers—The key to faster speed. Informs Annual Conf. (Institute for Operations Research and the Management Sciences, Catonsville, MD).Google Scholar
- (2024) PICASA—Optimal capacity allocation in supply chain for better speed offering. Informs Annual Conf. (Institute for Operations Research and the Management Sciences, Catonsville, MD).Google Scholar
- (2021) Temporal fusion transformers for interpretable multi-horizon time series forecasting. Internat. J. Forecasting 37(4):1748–1764.Google Scholar
- (2018) Approximate dynamic programming for lateral transshipment problems in multi-location inventory systems. Eur. J. Oper. Res. 265(1):49–64.Google Scholar
- (2020) A deterministic model for the transshipment problem of a fast fashion retailer under capacity constraints. Internat. J. Production Econom. 227:107687.Google Scholar
- (2022) Network aware forecasting for eCommerce supply planning. Proc. 31st ACM Internat. Conf. Inform. Knowledge Management (Association for Computing Machinery, New York), 1532–1541.Google Scholar
- (2009) Inventory reservation and real-time order promising in a make-to-stock system. OR Spectrum 31(1):281–307.Google Scholar
- (2018) CatBoost: Unbiased boosting with categorical features. Accessed September 10, 2025, https://proceedings.neurips.cc/paper_files/paper/2018/file/14491b756b3a51daac41c24863285549-Paper.pdf.Google Scholar
- (2011) An inventory reservation problem with nesting and fill rate-based performance measures. Internat. J. Production Econom. 133(1):393–402.Google Scholar
- (2014) Sequence to sequence learning with neural networks. Preprint, submitted September 10, https://arxiv.org/abs/1409.3215.Google Scholar
- (2015) Game-theoretically optimal reconciliation of contemporaneous hierarchical time series forecasts. Antoniadis A, Poggi JM, Brossat X, eds. Modeling and Stochastic Learning for Forecasting in High Dimensions (Springer International Publishing, Basel, Switzerland), 297–317.Google Scholar
- (2017) Attention is all you need. Accessed September 10, 2025, https://dl.acm.org/doi/pdf/10.5555/3295222.3295349.Google Scholar
- (2018) A multi-horizon quantile recurrent forecaster. Preprint, submitted November 29, 2017, https://arxiv.org/abs/1711.11053.Google Scholar
- (2019) Optimal forecast reconciliation for hierarchical and grouped time series through trace minimization. J. Amer. Statist. Assoc. 114(526):804–819.Google Scholar
- (2022) Replenishment and transshipment in periodic-review systems with a fixed order cost. Eur. J. Oper. Res. 307(3):1240–1247.Google Scholar

