Today’s planning technology handles complexity with ease, automates decision-making at scale, and optimizes plans from end-to-end.
Supply Chains are becoming increasingly complex and so are the associated supply chain planning practices. Companies often make sense of the complexities manually using Excel spreadsheets or older styles of systems, which can lead to version control issues and human errors. Constantly changing variables, such as supplier deliveries, quality issues, or disruptions in the supply chain, add to the complexity making the supply chain planning process endless, time-consuming, and sometimes virtually impossible.
Some variables can be planned for and some cannot. While we cannot plan for trade wars, strikes, bankruptcy, endemics, natural disasters, or global pandemics; we can plan for what customers want, how much they want, and when and where they want it. Before we can plan to supply those customers, we need to predict what their desires and needs.
Without the proper tools, companies tend to become reactive, which is a suboptimal way to run a business from a delivery and cost perspective. The supply chain planning technologies that are available today can handle the complexity of supply chains by applying advanced analytical techniques, such as Probabilistic Forecasting, Monte Carlo Simulations, Demand Sensing, and Cohort Analysis. When supply chains are disrupted, these tools can look at and model alternatives to enable executives to make the best business decisions.
Complete the form to download the webinar, Making Sense of the Complex in Supply Chain Planning, to learn about how modern Supply Chain Planning technology can impact inventory levels, supply chain reaction time, and overall profitability.