Electronics Industry: Stay Ahead of Shorter Product Lifecycles
Today’s global supply chain is a double-edged sword for electronics manufacturers. On one hand, it’s easier than ever to find cost-effective components from emerging suppliers. On the other hand, maintaining a complex web of suppliers puts manufacturers at greater risk of experiencing shipping delays and tariff challenges—forcing them to scramble to find essential components to avoid delays in production. Some manufacturers are responding by holding more inventory and accepting this inefficiency as the cost of doing business. You can do better. Use advanced analytics and machine learning to accelerate your inventory turns, reduce your inventory carrying costs, and ensure order-to-delivery excellence.
The Demand Solutions Digital Supply Chain Platform can help electronics manufacturers synchronize their global trading partners in ways that improve their customer service levels and reduce their obsolescence costs.
Electronics manufacturers use Demand Solutions to:
- Implement a single, consistent plan across the business with one-number planning.
- Gauge the cost of servicing any account or market using customer-specific forecasting capabilities, “what-if” analysis, and time-phased inventory policies.
- Project inventory up to 72 weeks ahead of time with Time-Phased Safety Views.
- Accelerate new product introductions by adopting a more accurate new product introduction process to increase visibility and agility.
- Balance inventory by optimizing allocation among multi-echelon supply chain points.
Maintain the Agility to Stay Ahead of Your Market
Just sticking with the plan is challenging enough for electronics manufacturers. But when unexpected changes occur—due to fluctuations in demand or the failure of previously reliable components—your responsiveness will be put to the test. Meet any challenge by maintaining a real-time view of your supply chain and production operations.
With Demand Solutions, electronics manufacturers can:
- Forecast at the SKU level, using machine learning to deduce the best plan with the least amount of human effort.
- Predict the failure rates of components based on historical data.
- Plan for the repair or replacement of defective components in finished goods.
- Accelerate replenishment planning by taking an enterprise-wide approach to demand planning and inventory optimization.
- Meet sudden demand spikes by modeling the effects of new store openings, special offers, advertising, and more.
