Success Stories

Fortune: 125

Industry: Automotive

Size/Revenue: 53K/35 Billion$

  1. Inefficient inventory management.
  2. Inability to show customer goods delivery date.
  3. Customer Promise date and Production Mismatch.
  1. Implemented Basic and Advanced GATP functionality within APO to better commit customer delivery date.
  2. Implemented APO Supply planning functionality to support distribution and capacity based planning.
  1. Huge revenue improvement as the inventory is efficiently balanced and the production with respect to customers orders are closely matched.
  2. High customer satisfaction as the customers have the correct visibility of goods delivery date.
 Fortune: 100

 Industry: Hi Tech  

 Size/Revenue: 70K/67 Billion$

    1. Support Multi Sourcing environment with subcontracting and managing vendor inventory
    2. Inaccurate mid to long term forecasting and production planning.
    3. Effective utilization of alternate component for planning.
    1. Implemented supply network capable to match functionality.
    2. Implemented vendor managed inventory and load building functionality to support vendor inventory planning and effective load building.
    1. Revenue improvement because of supply chain network and component optimization.
    2. Smooth procurement and production from better midterm to long term planning leading to reduction in revenue loss.
 Fortune: 28

 Industry: Hi Tech  

 Size/Revenue: 125k/95 Billion$

  1. Inaccurate inventory balancing in network.
  2. Delay in customer order fulfilment due to lack of inventory from sourcing location.
  1. Implemented inventory balancing solution with deployment
  2. Rule based availability check with ability to check multiple location based on rules with ability to re sequence back orders.
  1. Near perfect inventory levels with huge improvements in storage and transportation costs.
  2. High level of customer service was achieved due to on time delivery and accurate delivery date visibility.
 Fortune Number: 197

 Industry: CPG

 Size/Revenue: 26k/12 Billion$

  1. Inefficient and expensive way of handling manufacturing of different product on same machinery.
  2. Multiple orders of similar products manufactured on alternate days in a week.
  1. Leveraged PPDS sequencing to efficiently club orders during generation of plan.
  2. Master data based solution was implemented to optimize the setup time and cost to clean and prep similar machine for different product lines.
  1. Operational efficiency with efficient production flow.
  2. Shorter turnaround time for manufacturing setup of different product lines.
  3. Operational cost savings by means of bulk production and setup cost savings.