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Adding Immense Analytical Value to Supply Chain Management

Today supply chain has become an integral component of any business and is a major factor for an organization's success. It has the power to enhance customer service, reduce cost and improve the overall finance. Product tracking, forecasting demand, transportation perfomance and analysis of product returns are critical to supply chain industry.

Phygital Insights' Supply Chain Analytics addresses complex threats by delivering end-to-end visibility and insights across the Supply Chain Management value chain of the organization. Our framework comprises of different supply chain analytics solutions and encompasses virtually the complete value chain: sourcing, manufacturing, distribution, and logistics.

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Supply Chain Analytics Services

Demand Forecast
Demand Forecast
Inventory Visibility
Inventory Visibility
Dynamic Buffer Management
Inventory Re-Classification
Inventory Re-Classification
Spend Prediction
Spend Prediction
Supplier Performance
Supplier Performance
Cash-to-Cash Cycle Time
Cash-to-Cash Cycle Time
Warehouse Efficiency
Warehouse Efficiency
Stock-Out Prediction
Stock-Out Prediction
Inventory Optimization
Inventory Optimization

Supply Chain Analytics Challenges

  • Increasing global competition
  • Increasing fluctuations in customer demand
  • Volatility in prices of commodities
  • Customers’ expectations on product quality

Supply Chain Analytics Data

  • Warehouse data
  • Order information
  • Inventory data
  • Freight and logistics data
  • Product pricing

Benefits of Supply Chain Analytics

Reduced inventory costs through smarter demand sensing
Reduced inventory costs
Optimization-of-production-plans-
Optimization of production plans
Responsive transport logistics
Cross-functional collaboration
Transform your supply chain process

CASE STUDY

supply-chain-case-study

Predictive analytics helps a major steel production company to achieve planned throughput

A major steel production company faced issues in planning problems with their production process and deviations from planned throughput. Our machine learning solution helped the client to overcome these challenges.