Digital led supply chain transformation

AI-enabled digital platform comprising 20+ modules each addressing client’s specific needs for digitizing and streamlining supply chain planning processes. The platform also offers sector specific customizations incorporating nuances peculiar to the respective industry.

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  EY Asterisk Supply chain platform

ASTERISK SC digital solutions comprises of integrated and AI - enabled end-to-end Supply Chain Planning modules

  • AI/ML powered demand forecasting and collaborative planning

    • Statistical forecasting: The forecasting engine utilizes a robust statistical model and runs on an auto-micro-segmentation framework. It comes pre-built with over 20 machine learning and time series algorithms, which factor in both internal and external features.
    • Consensus planning: The system enables monthly or weekly consensus planning, allowing for the planning of numbers for different roles at various levels of hierarchy and granularity.
  • Production planning and end-to-end (e2e) supply chain readiness assessment across horizons with financial projections

    • SC digital twin: The comprehensive issue discovery and resolution module is based on a graph structure and is designed to assess supply chain readiness for various business scenarios.
    • Margin modelling and sales contract pricing: The system includes an integrated financial impact assessment module that enables a review of projected profit and loss and working capital requirements.
    • Day level production scheduling: The system provides day-level production plan generation and a convenient replanning optimizer, along with shipment-related alerts and notifications.
    • Indent planning module: The system generates net requirements and stock projections across multiple horizons, accounting for promotions, New Product Introductions (NPIs), and other factors. 
  • Supplier collaboration and capacity management

    • Supplier collaboration: The system facilitates the onboarding of suppliers in the planning process, providing visibility into their supply commitments and enabling early warning of potential issues.
    • Supplier capacity management: The system captures line-level and machine-level supplier capacities to facilitate capital expenditure (CAPEX) planning decisions. 
  • Dispatch planning and order management

    • Dispatch planning module: The system provides a solution for multi-echelon inventory replenishment based on the Theory of Constraints (ToC) principles. This includes a proposed journey plan, store-level schemes, and other features.
    • Order management and fulfillment: The system facilitates an ecosystem of stakeholders to manage fulfillment operations collaboratively, with the goal of minimizing sales losses and optimizing costs. Truck load optimization: The system optimizes logistics costs by maximizing truck and container utilization, while considering various business priorities. 
  • Intelligent inventory management

    • Dispatch planning module: The system provides a solution for multi-echelon inventory replenishment based on the Theory of Constraints (ToC) principles. This includes a proposed journey plan, store-level schemes, and other features.
    • Order management and fulfilment: The system facilitates an ecosystem of stakeholders to collaboratively manage fulfillment operations, with the goal of minimizing sales losses and optimizing costs. Truck load optimization: The system optimizes logistics costs by maximizing truck and container utilization, while considering various business priorities. 
  • Global trade automation

    • Facilitating global trade: The system integrates elements of planning, logistics, border clearance, tax, payment reconciliation, and related documentation to provide a holistic, e-commerce-like track and trace experience.
  • Control tower for insights and actionable

    • RCA-enabled control tower: The system performs prescriptive and predictive analyzes and provides role-based daily priority action reports, leveraging a comprehensive library of pre-set metrics with a strong focus on actionable insights.
    • NLP powered data management module: The system comprises intelligent ingestion of required datasets, with support for manual updating of planning masters along with error validation and logs to ensure data accuracy.
    • Product portfolio classifier: The system offers parameterized and automated product segmentation to assist in defining differentiated supply chain responses across the entire value chain.
    • Network optimizer: The system includes a multi-source and multi-modal optimizer engine that recommends the optimal supply chain network to reduce delivery costs while meeting service level objectives.

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