Oct 28, 2024 | Projects
Problem Statement Despite the recognized potential of AI/ML in demand planning, many organizations struggle with its effective adoption, often due to a lack of clarity regarding the optimal balance between automation and human intervention. This uncertainty is...
Oct 28, 2024 | Projects
Problem Statement Despite the significant and growing capital investment in robotics for logistics—with 80% of warehouses expected to deploy some form of automation by 2028—Human-Robot Collaboration (HRC) remains sub-optimized and is currently failing to realize its...
Oct 28, 2024 | Projects
Problem Statement FMCG demand forecasting efficacy is fundamentally constrained by current AI/ML models that are insufficiently dynamic and fail to integrate the influence of crucial exogenous variables (such as macroeconomic fluctuations, population shifts, and...
Oct 28, 2024 | Projects
This project researches the impact of Industrial and Geographical Concentrations of Upstream Industries on Supply Chain Performance. The industry might be competitive and contain many suppliers (low industrial concentration) and yet be concentrated in a few nations or...
Oct 28, 2024 | Projects
Problem Statement Recognizing its strategic significance, the importance of quantum computing has been underscored in maintaining technological leadership. On the global stage, the race for quantum supremacy intensifies. Given the high stakes, it is essential to...
Oct 28, 2024 | Projects
Problem Statement The AI advancements are driven by the need for greater speed, scalability, and strategic agility due to increasingly complex supply chains and disruptions caused by external factors. However, adopting AI isn’t straightforward. Data quality,...
