Yogesh Punde, Senior Industry Principal, Supply Chain Planning, Kinaxis

Advanced analytics can help detect shifting data patterns, predict changes in demand, and automatically update and optimize forecasts by adding signals beyond sales history. AI & analytics can:

  • Optimize decision support
  • Help respond to business challenges in real-time
  • Optimize costs and achieve critical KPIs for the organization

Could you provide some real-world examples and success stories of technology-driven supply chain optimization in the region?

YP: CPG companies in the alcoholic beverages industry having manufacturing facilities in Malaysia were able to successfully transition from a manual demand and supply planning process to a single platform based on concurrent planning.

Benefits include:

  • Single-source of truth for planning
  • One data model
  • Improved planner efficiency
  • Ability to rapidly respond to demand changes
  • Better forecasting

A leading manufacturer of semiconductor devices based in Singapore successfully implemented technology-driven supply chain optimization. From Excel-based, disconnected systems to unified single solutions for demand and supply planning, better collaboration among internal and external stakeholders.

Benefits include:

  • Improvement in forecast accuracy
  • End-to-end visibility
  • Shorter S&OP cycles
  • Simulation capabilities to analyze the impact of any disruption
  • KPI-driven decision-making