Step 1: Descriptive
Includes KPI tracking and internal reporting metrics based on advanced analytics such as stock covers, lost sales, and fulfilment rates and provides the baseline analytics foundation.
Step 2: Diagnostic"Why Did It Happen?"
Automated diagnostics brings speed and efficiency to daily operations by identifying the root-cause of stock-outs or declining service levels. Are these due to demand variability, forecast bias, lead time variance or supplier performance? Solvoyo connects the dots so that planners can focus on addressing the problems.
Step 3: Predictive
Using forecasting techniques and machine learning technology leveraging event libraries and external data to predict likelihood of stock outs, potential lost sales, over-stock situations or missing sales targets enables planning teams to take proactive measures. With Solvoyo’s what-if capabilities planners can also evaluate different scenarios to make informed decisions.
Step 4: Prescriptive"How Can We Make It Happen?"
Aligning supply chain plans to business objectives is now possible by prescriptive capabilities giving the planners specific actions to make it happen. Automated recommendations driven by machine learning to optimize optimal quantity and timing of supplier purchase orders and/or production work orders enable supply chain organizations to become more agile and action-oriented.