Use AWS Supply Chain Analytics to unleash the power of your supply chain data and obtain useful insights.
AWS Supply Chain
Reduce expenses and minimize risks with a supply chain solution driven by machine learning.
Demand forecasting and inventory visibility, actionable insights, integrated contextual collaboration, demand and supply planning, n-tier supplier visibility, and sustainability information management are all enhanced by AWS Supply Chain, a cloud-based supply chain management application that aggregates data and offers ML-powered forecasting techniques. In addition to utilizing ML and generative AI to transform and combine fragmented data into the supply chain data lake (SCDL), AWS Supply Chain can interact with your current solutions for enterprise resource planning (ERP) and supply chain management. Without requiring replatforming, upfront license costs, or long-term commitments, AWS Supply Chain may enhance supply chain risk management.
Advantages
Reduce the risk of overstock and stock-outs
Reduce extra inventory expenditures and enhance consumer experiences by reducing the risk of overstock and stock-outs.
Increase visibility quickly
Obtain supply chain visibility quickly without having to make long-term commitments, pay upfront license fees, or replatform.
Actionable insights driven by ML
Use actionable insights driven by machine learning (ML) to make better supply chain decisions.
Simplify the process of gathering sustainability data and collaborating on supply plans
Work with partners on order commitments and supply plans more safely and conveniently. Determine and address shortages of materials or components and gather sustainability data effectively.
AWS is announcing that AWS Supply Chain Analytics, which is powered by Amazon QuickSight, is now generally available. Using your data in AWS Supply Chain, this new functionality enables you to create personalized report dashboards. Your supply chain managers or business analysts can use this functionality to visualize data, conduct bespoke analysis, and obtain useful insights for your supply chain management operations.
Amazon QuickSight embedded authoring tools are integrated into the AWS Supply Chain user interface, and AWS Supply Chain Analytics makes use of the AWS Supply Chain data lake. You may create unique insights, measurements, and key performance indicators (KPIs) for your operational analytics using this integration’s unified and customizable interface.
Furthermore, AWS Supply Chain Analytics offers pre-made dashboards that you may use exactly as is or alter to suit your requirements. The following prebuilt dashboards will be available to you at launch:
Plan-Over-Plan Variance: Shows differences in units and values across important dimensions including product, site, and time periods by comparing two demand plans.
Seasonality Analytics: Provides a view of demand from year to year, showing trends in average demand quantities and emphasizing seasonality patterns with monthly and weekly heatmaps.
Let’s begin
Allow me to explain you about AWS Supply Chain Analytics’ features.
Turning on AWS Supply Chain Analytics is the first step. Go to Settings, pick Organizations, and then pick Analytics to accomplish this. You can enable analytics data access here.
Now you can add new roles with analytics access or edit roles that already exist.
After this feature is activated, you may choose the Connecting to Analytics card or Analytics from the left navigation menu to access the AWS Supply Chain Analytics feature when you log in to AWS Supply Chain.
The Supply Chain Function dropdown list then allows you to choose the prebuilt dashboards you require:
The best thing about these prebuilt dashboards is how simple it is to get started. All of the data, analysis, and even a dashboard will be prepared for me by AWS Supply Chain Analytics. You click Add to get started.
Then view the results when navigating to the dashboard page. Additionally, you can share this dashboard with your colleagues, which enhances teamwork.
You can go to Datasets and choose New Datasets if you need to add more datasets in order to create a custom dashboard.
You can leverage an existing dataset in this case, which is the AWS Supply Chain data lake.
You can leverage an existing dataset in this case, which is the AWS Supply Chain data lake.
After that, you may decide which table to use in your analysis. You can view every field that is provided in the Data section. AWS Supply Chain creates all data sets that begin with asc_, including supply planning, demand planning, insights, and other data sets.
Additionally, you can locate every dataset you have added to the AWS Supply Chain. One thing to keep in mind is that before using AWS Supply Chain Analytics, you must ingest data if you haven’t already done so in AWS Supply Chain Data Lake.
You can begin your analysis at this point.
Currently accessible
In every country where AWS Supply Chain is available, AWS Supply Chain Analytics is now widely accessible. Try using AWS Supply Chain Analytics to see how it can change your operations.
