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What Is Supply Chain Analytics?

Contemporary supply chain analytics is driven by a cloud-based, end-to-end data integration, and analytics platform.

Retail analytics is the science of collecting, analyzing, and reporting on data related to a retailer’s operations. It complements the art of retail.

Supply chain analytics involves the utilization of tools and processes to integrate and analyze data from various systems, providing insights into the procurement, processing, and distribution of goods. By amalgamating data from both supply chain management (SCM) and enterprise resource planning (ERP) applications, you gain a comprehensive view of your logistics network. These broader insights enable you to predict and enhance performance within your supply chain.

This advanced platform facilitates the seamless management of data throughout its lifecycle while also supporting a diverse range of essential analytics.

Benefits of Supply Chain Analytics

Increased Revenue

Guarantee the accessibility of raw materials, components, and/or products to enhance order fulfillment and revenue generation.

Risk Management

Forecast and promptly react to market trends and changes in the supplier base to effectively mitigate risks and proactively strategize for potential disruptions.

Efficiency

Transform operations and integrate efficiencies throughout the chain to reduce the cost of goods sold (COGS) and attain elevated gross margins.

Customer Satisfaction

Minimize order fulfillment issues to elevate customer satisfaction and foster brand loyalty.

Actionable Insights

Attain a comprehensive view of the business, unveiling precise and actionable insights in real-time for planning, sourcing, logistics, warehousing, and aftermarket operations.

Transparency

Elevate Environmental, Social & Governance (ESG) practices by integrating data across enterprise silos, enabling more informed and transparent supplier decisions.

Fast track your Supply Chain Analytics process

Modern supply chain analytics leverages a cloud-based, end-to-end data integration, and analytics platform. This robust platform facilitates comprehensive data management throughout its lifecycle and supports a diverse array of essential analytical processes

Achieving in-the-moment awareness of your supply chain is now possible through real-time information. The most advanced supply chain analytics tools can seamlessly channel continuous, real-time data—such as inventory flow or shipping performance—from suppliers, partners, warehouses, and stores to analytics platforms, providing instant insights that empower immediate and informed actions.

Let ACG experts help with:

  • Aligning your existing operational state with future-oriented plans
  • Evaluating your technological environment
  • Enhancing and fine-tuning your vision for supply chain analytics
  • Data accessibility, quality, and various other factors

Supply Chain Analytics Types

Here are the types of supply chain data analytics collectively contribute to a comprehensive understanding of the supply chain, enabling organizations to make informed decisions, optimize processes, and enhance overall efficiency

Descriptive analytics

Diagnostic analytics

Predictive analytics

Prescriptive analytics

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