Reverse Logistics

After-sale services and parts can contribute to as much as 65 % of all profits for a typical manufacturing company. But to capitalize on that opportunity, you need a supply chain explicitly designed to support superior service management and do so in a profitable way. Building those 'service-to-profit' supply chain demands explicit strategy and flawless execution. Service supply chain solution is based on Oracle ERP and service parts planning which is specially designed to help service organizations to predict demand of service parts and plan optimal replenishment policies to reduce inventory costs without compromising service levels, manage complicated distribution network and seamless business integration with service partners.

Methodology


Zensar uses its proven 'P6 Implementation Methodology' for Oracle Application implementation engagements. The methodology attempts to institutionalize best practices and Zensar's experiences in the realm of enterprise applications. A cohesive and logical combination of processes and deliverables, the methodology enables the enterprise manage its environment better. The methodology also provides for low cost post implementation support helping minimize Total-Cost-of Application-Ownership.



Best Practices



  • Collaborative service parts planning using different statistical models like moving average, exponential smoothing methods like Holt Winters enhanced, regression with seasonal causal, Croston's, regression with seasonal causal, and multiplicative Monte Carlo regression with seasonal causal
  • Collaborative Supply chain Management Across service network
  • Flexible revenue sharing rules and Partner collaboration
  • Comprehensive Knowledge management
  • Preconfigured Business Intelligence Dashboards
  • Integration with wireless equipments

Value Proposition


  • Accurate service parts planning based on Bayesian analytical forecast.
  • Optimization of service parts inventory.
  • Widened services base
  • Effective knowledge management
  • Improved customer relationship

 

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