How Transportation and Logistics are getting Disrupted and Redefined

The transportation and logistics sectors are going through a significant transformation right now. Across the industry, both operating models and profitability are under strain. The pace of transformation for large manufacturing and retail customers may turn out to be even faster than for final private consumers.

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

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

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

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

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

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

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

Related Resources

CASE STUDY

Sidharth Sivasailam

VP, Digital and Advanced Analytics

Over 18 years of experience in Leadership roles across Technology, Retail, Banking and Telecom Industries
Core areas of expertise include Product Management, Digital Strategy & Transformation and implementation of Analytics & Insights Programs
Led the Product development and launch of several Market Leading Products across multiple geographies

Rakesh Chaudhary

AVP, Digital and Advanced Analytics

Over 14 years of Global Supply Chain experience in sectors like Retail, Textiles, Steel, FMCG & Packaging
Focused on optimizing total cost of ownership, improving bottom line profitability & maintaining high customer service levels
Degree in Automobile Engineering, Post-Graduation in Operations & Supply Chain Management