Supply Chain & Logistics

Over 57% of business users’ time in Supply Chain and Logistics functions is spent getting access to actionable insights.

Supply Chain & Logistics teams at large CPG, FMCG, and Technology enterprises often lack timely and actionable insights for smarter exception handling around their loads/unloads, warehouse capacity, inventory and order accuracy, safety stock levels, inventory fill rates, and transportation costs.

Course5 Discovery enables the Supply chain & Logistics operations workforce with personalized, contextual insights accessible on-demand for end-to-end visibility across supply chain operations and faster, smarter decision-making in near real-time.

Use Cases

Service Level Optimization

Service Level Optimization

  • Categorization & prioritization of Customer Service elements by Profitability Tier and Customer Segment
  • Gauge affordability of Service Level through Cost-Benefit Analysis
  • Optimize the Order Processing workflow
  • Optimize Hub-and-Spoke Network Operations
Safety Stock Level Optimization

Safety Stock Level Optimization

  • Maintain transparency with Suppliers and Manufacturers on the Aggregate & SKU-level Demand Forecasts
  • Optimize Supplier lead time for critical components/SKUs
  • Maintain Base Safety Stock on actual economies
  • Track inventory by SKU and maintain transparency across multiple echelons
Order Lead Time Optimization

Order Lead Time Optimization

  • Collaborate with upstream partners on Weekly Demand Forecasts (Aggregate and Granular level)
  • Optimize the Order Processing workflow
  • Optimize Hub-and-Spoke Network Operations
Demand Sensing

Demand Sensing

  • Daily Demand Sensing up to 2 months in the future
  • Optimize weekly-item-location demand predictions
  • Track real-time demand signals through Macro Economic Factors, Social Media Sensing and Recent Sales
Multi-Echelon Inventory Optimization

Multi-Echelon Inventory Optimization

  • Maintain optimum inventory levels throughout the distribution network
  • Determine volumetric and financial effects with what-if scenario engines
  • Automate model switching and account for actual demand variability through ML capabilities
Supply Chain Cost Optimization

Supply Chain Cost Optimization

  • Optimize Order Processing Cost
  • Optimize Safety Stock Levels and Inventory Holding Cost
  • Optimize Hub-and-Spoke Network Operations

 Related Resources 

  Our People 

Sushant Ajmani

Sushant Ajmani

VP – Product Management

  • Working in the Retail, CPG, and Technology sector for over 20 years.
  • Certified Supply Chain Professional with a passion for the Logistics and Customer Service domain.
  • Driving end-to-end supply chain visibility through collaboration, digitization, and AI.
Sunder Balakrishnan

Sunder Balakrishnan

Associate Vice President

  • Over 12 years of diverse value delivery experiences across CPG, retail, and technology domains
  • Focused on data-driven supply chain excellence using consulting, Applied analytics, and AI
  • Six Sigma Black Belt, Supply Chain Masters Certified, Business Analytics Certified