Optimizing Demand and Forecasting in Supply Chain Management Using AI


  • Veer Singh Chandraul M.Tech. Scholar Bansal Institute of Science & Technology, Bhopal
  • Shyam Kumar Barode Assistant Professor Bansal Institute of Science & Technology, Bhopal




This study demonstrates forecasting practices in supply chain management (SCM) at various areas, particularly Life science, Retail Chain, and FMCG. The authors depicts the scenario of forecasting practices based on secondary data and represents SCM role, demand management, collaborative coordination, etc. In addition, the study reveals the limitation and few practical solutions on forecasting to be useful in the business organization. Consequently the authors describe recommendation and proposes a model on forecasting management model. Though this paper highlights in intensive analysis, however, it unlocks further frontiers for the prospective researchers as well as practitioners in order to apply forecasting techniques.


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Chopra S., Meindil P. Supply Chain Management, 4th ed., Dorling Kindersley Pvt. Ltd, 2011

Dr. M. Habib, Supply Chain Management (SCM): Theory and Evolution, Intech 2011

K. L. Croxton, Sebastian J., D. Garcia, D. M. Lambert, “The Supply chain Management Process” The International Journal of Logistics Management, Vol 12, No 2, 2001

Dutta, Don P. Graham, Nikhil Sagar, P. Doody, R Slone, and Olli-Pekka Hilmola, Managing Supply Chain Risk and Vulnerability, Springer, 2009

Stevenson, W.J., 2002, Operation Management, 7th ed., McGraw-Hill/Irwin, NY

S Gilaninia, Raya Sharifi, “Economic Factors affecting Tourism Supply”, International Journal of Business and Behavioral Science” Vol. 3, No. 10, Oct 2013

Y. Barlas, B. Gunduz, “Demand forecasting and sharing strategies to reduce fluctuations and the bullwhip effect in supply chains”, Journal of Operation Research Society, Vol. 62, No. 3, pp 458-473, 2011

Haixia Sang's “A dynamic modeling simulation for supply chain management inventory service: a case study on a rental housing unit manufacturing and logistics company” Conference: the 2018 International Conference August 2018




How to Cite

Chandraul, V. S., & Barode, S. K. (2018). Optimizing Demand and Forecasting in Supply Chain Management Using AI. SMART MOVES JOURNAL IJOSCIENCE, 4(12), 8–15. https://doi.org/10.24113/ijoscience.v4i12.174