Inventory Planning

Optimize Inventory; Reduce Stockouts; Enhance Customer Service Levels
What It Does:
  • Decide optimal norms for order size, review period, reorder points, target stocks levels, and safety stocks for various classes of products/SKUs/raw materials at every warehouse/storage location, and generate orders according to continuous replenishment or periodic replenishment norms
  • Rationalize optimal orders based on practical constraints such as vehicle loadability and limited availability of products/SKUs/raw materials
  • Meet desired customer service levels for various products/SKUs/raw materials while keeping inventory levels and transportation costs low
  • Minimize stockouts as well as excess stocks considering different priorities for different classes of products such as high value and low value, fast moving-stable demand and slow moving-variable demand, short- and long- shelf life
  • Validate input data and resolve infeasibilities
  • Report performance metrics such as customer service level (order fill rate, OTIF, stockout and lost sales), inventory levels and cost, transportation cost vehicle utilization, deviations from inventory norms
  • Align sales, logistics, production and procurement teams with common business objectives and facilitate inter-functional collaboration

Analytical Models and Techniques

  • Statistical and simulation models
  • Algorithms for ‘what-if’ scenario analysis

Tools and Technologies

  • Statistical and simulation models with Python
  • Input data interface with Java
  • Dashboards for reports and collaborative platform with Power BI and Java

Case Studies

Our Clients

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