// ROBOTICS AND SMART FACTORIES TERM

Supply Chain Analytics

The use of data analysis techniques to gain insights into supply chain operations and improve decision-making.

Supply Chain Analytics — illustration from Wikipedia
Image via Wikipedia

TECHNICAL DEFINITION

Supply chain analytics applies quantitative methods, statistical models, and machine learning algorithms to large datasets generated across the supply chain (e.g., demand, inventory, logistics) to identify trends, predict outcomes, optimize processes, and enhance strategic decision-making.

BACKGROUND

Smart manufacturing is a broad category of manufacturing that employs computer-integrated manufacturing, high levels of adaptability and rapid design changes, digital information technology, and more flexible technical workforce training. Other goals sometimes include fast changes in production levels based on demand, optimization of the supply chain, efficient production and recyclability. In this concept, a smart factory has interoperable systems, multi-scale dynamic modelling and simulation, intelligent automation, strong cyber security, and networked sensors.

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SYNONYMS & ALIASES

  • Logistics Analytics
  • SCM Analytics
  • Supply Chain Intelligence

USAGE NOTE

Companies use supply chain analytics to forecast demand more accurately and optimize inventory levels.

DEVELOPERS

Organizations developing technology related to Supply Chain Analytics.

  • SAP

    A multinational software corporation that makes enterprise software to manage business operations and customer relations. Their Integrated Business Planning (IBP) and S/4HANA platforms provide advanced analytics for demand forecasting, inventory optimization, and response and supply planning.

  • Blue Yonder

    A leading digital supply chain and omnichannel commerce fulfillment provider. Their Luminate Platform uses AI/ML to provide predictive and prescriptive analytics for end-to-end supply chain management, from planning to logistics and delivery.

  • Oracle

    A major enterprise technology company providing a suite of cloud applications. Oracle Fusion Cloud SCM uses AI, machine learning, and IoT data to offer analytics for demand management, supply chain planning, and logistics, enabling predictive insights and automation.

  • Kinaxis

    A supply chain management and sales and operation planning software company. Its core product, RapidResponse, provides concurrent planning capabilities, allowing businesses to run simulations and use analytics to understand the impact of events across the supply chain in real-time.

  • Coupa Software

    A company providing a cloud-based Business Spend Management (BSM) platform. It uses community-powered data and AI to deliver analytics on procurement, invoicing, and supply chain design, helping companies optimize spending and mitigate supplier risk.

  • E2open

    Provides a connected supply chain software platform that enables companies to orchestrate their global supply chains. The platform uses AI and analytics to provide end-to-end visibility and data for demand sensing, supply planning, and logistics management.

  • project44

    Focuses on advanced visibility for shippers and logistics service providers. The platform consumes, cleanses, and normalizes data from a vast network of carriers to provide real-time transportation analytics, predictive ETAs, and exception management.

  • Celonis

    A leader in process mining and execution management. The company's software analyzes data from enterprise systems to visualize supply chain processes, identify inefficiencies, and provide analytics-driven recommendations to optimize fulfillment, inventory, and logistics.

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