Digital Analytics
Supply Chain Network Design & Optimization
Evaluate the current state of the supply chain network and determine its current level of maturity in order to aid companies in strategically formulating and structuring supply chain networks and strategies. The objective is to decrease overall expenses, enhance service levels, and concurrently advance operational sustainability and cost-efficiency, all while establishing congruence with the business objectives.
Advanced Simulation services
The process involves simulating diverse supply chain, manufacturing, and facility scenarios to address intricate situations and unexpected disturbances. The goal is to determine optimal decisions, spanning from distributing resources and devising plans to estimating capacity and making predictions.
Supply Chain Risk Management
Owing to swift transformations in organizational setups and supply chain disturbances caused by diverse elements, accurately anticipating supply chain performance and the consequences of these fluctuations and incidents becomes challenging within the realm of Digital Supply Chain. We employ a strategy involving the detection of alterations, along with the simulation of a digital replica of the supply chain. This simulation enables the anticipation of forthcoming Key Performance Indicator (KPI) outcomes, facilitating targeted strategies.
Demand Sensing and Predictive Analytics
We leverage advanced machine learning models to perceive demand and predict different parameters—such as time spans, products, and tiers—in the near future, employing customized time intervals. This prediction process takes into account multiple influencing factors like promotions, holidays, and weather conditions.
