ConnectedView

Problem definition (Retail/ CPG Industry Problem): Modern supply chains oscillate between a 20-25% drop in On Shelf Availability leading to ~ $ 1 BN in lost sales to 30-40% excess inventory levels leading to ~ $ 1.5 BN in additional inventory holding costs, with our diagnosis telling us that demand variability, manufacturing & supply disruptions, and supply chain execution challenges are the key contributors to the variability.

Further deep-dive tells us that this variability that CPG and Retail have experienced may be pointing to a deeper challenge - a Disconnected supply chain with lack of visibility and sub-optimal processes. CPG and Retail organization need to Those are the opportunity areas where our connected supply chain vision fits perfectly.

Solution: ConnectedView is an AI-powered On Shelf Availability improvement solution that empowers supply chain personas with better and faster decision-making through core pillars: • Connected Planning - AI/ML based Associative demand forecasting, sensing, & planning for higher visibility to expected variabilty • Connected Visibility - An end-to-end supply chain digital twin solution build on Graph to provide detect risks & anomalies, recognize causes, & orchestrate responses for higher On shelf availability • Connected Optimization- AI-powered optimization & recommendation point solutions across Network optimization, MEIO, Warehousing, Transportation, Inbound & Outbound analytics, Supplier intelligence

The ConnectedView solution aims at delivering a systems view of the supply chain with the objective of overcoming operating in silos and transforming supply chains into a connected view, to drive optimal availability as the north star metric across the end-to-end network.

Achieving system wide (connected) optimal availability across each node in the network, requires using this framework as an intelligent layer of analytics and decision support that collaborates/ integrates with existing software systems and the data architecture in an enterprise, across the supply chain.

Azure is one such integral components of data architecture strategy that can help ConnectedView in the execution of this framework. Azure can provide the source of unified data collection, pipeline building, engineering, processing, querying, machine learning, visualization, integration across multiple supply chain functions. In simple terms, integrating with Azure can help connecting with multiple existing databases in a company's system architecture- SQL or noSQL, and help create a single source of truth by unifying multiple disparate and vastly unstructured data sources. This can then be leveraged to build out contextual point based or scalable ML accelerators that can drive value creation and productivity across the enterprise wide supply chain function. Azure also delivers ease of use and adoption to help scale best practices in Supply Chain Analytics to help companies derive competitive advantage and stay ahead in AI and ML innovation for Supply Chain Management.

Business Value: • 2-3% improvement in On Shelf Availability • 25-40% Speed to decision making

Consulting service - Azure - Setup,maintain and intergate the below for the solution :

1. Azure Data factory - Data curation
2. Azure Blob Storage - Raw data, Connected Storage and Graph DS storage
3. Azure Stream Analytics
4. Azure event hub
5. Azure Data explorer
6. Azure Virtual Machine
7. Azure Cosmos DB
8. Azure App services
9. Azure API management