Control Tower

What is Global Supply Chain Control Tower?

Global Supply Chain Control Tower is a central hub that captures and integrates data to apply business intelligence, and alter decisions based on flow of materials, information and people across a network of manufacturers, suppliers, and various other partners. Control towers depend on relevant choices of organizational structures, business processes and technology solutions. Opportunities clearly are in Supply Chain visibility across the SCOR processes Plan-Source-Make-Deliver-Return with the appropriate Technology solution for value differentiation

Why do you need a Global Supply Chain Control Tower?

Large manufacturers, brand owners, retailers and various partners in the Supply chain value network need the ability to predict in advance any supply chain disruption that might happen in future to help them to stay competitive in this ever changing volatile market. Global Control Tower platform enables an organization to prepare for the future state supply chain network and be at the forefront of three important business drivers

  1. Agility - ability to respond to external influences and marketplace changes, change processes, targets, partner relationships, asset usage at the speed of market needs.
  2. Reliability - ability to meet expectations on SLAs of product quality, cost, timeliness and availability.
  3. Responsiveness - speed at which tasks are performed and the ability to capture information and adapt to changes in demand, capacity, market conditions, and regulations.

What is needed out of a Global Supply Chain Control Tower?

An enterprise view of data and networking of systems to ensure collaboration not only within the enterprise departments or functions but also across partners in the extended Supply Chain. This requires a deep process and technology solution to establish the following,

  • Dynamic network and Local controls | Extended complex communications across the Supply Chain network | Digital models of the overall processes and participants | Humans to define the rules and frameworks for decision making | Self-configuring security concepts also for temporary requirements | Process optimization in dynamic networks

The Supply Chain Visibility Control Tower architecture of Solvanni integrates various SCOR processes across the entire Supply Chain Value network spanning across both the upstream Supplier's Supplier as well as downstream Customer's Customer. Key processes in each of the business functions including the related Master data management is supported for efficient integration between Supply Chain Planning, Execution and Financial cost and profit models.

Key Systems Integrated

Enterprise Resource Planning (ERP), Factory Information Systems (FIS) and Machine -To-Machine communications (M2M) using sensors, Internet of Things (IoT) enabled devices and machines, Supplier's systems, Customer's systems, Warehousing and Transportation Logistics provider's systems, Enterprise Data Warehouses (EDW) and all the intelligent devices that transmit data.

How does this work?

Data Acquisition, Data gathering from various systems

Data Ingestion process transmits data to a central data repository.

Data Persistence is based on Big data platform stores all the numerous data streams. The data can be both structured from relational data bases, file systems and also unstructured from Machines, Social media.

Data Processing is performed through high in-memory computing technology for complex events, workflows and business analytics.

Data Security and compliance is given top most importance with industry proven security protocols and algorithms.

Supply Chain visibility across the supply chain partners, measures and tracks changing real time supply chain events and its impact on the Order line item and Inventory positions in the network.

Predictive, Prescriptive and Cognitive, the platform predict risks well in advance by what-if simulations, profitability analysis for the brand owner, retailer and also nth level supplier with humans defining the business rules. The systems learns and stores the scenarios and decisions and artificially intelligent to suggest or prescribe the solution options. Cognitive learning, to automatically execute decisions and enable businesses and planners to focus on newer process challenges and continuous improvements to achieve operations excellence