FENC spent six months developing the price simulation system for polyester products. The system leverages big data analysis to generate cost estimates with higher precision. The system also helps FENC gain insights into customer needs to improve its performance.

1. Reduce Operational Risks with Integrated Analysis
The system incorporates multiple data sets as well as cost factors such as raw material prices and shipping costs. Despite market volatility, it carefully calibrates cost control with great precision to reduce operational risks.

2. Establish Sales and Service Strategies Tailored to Customer Demand and Value
The Customer Contribution System helps FENC gain an in-depth understanding of the values and needs of each customer and provide more closely tailored services to ultimately enhance customer relations, determine optimal sales and service strategies and improve customer experience.

3. Consistent Demand Forecast with Supply Chain Coordination
To suppliers, the Customer Contribution System provides consistent and dependable demand forecasts, which reduce supply chain risks, improve production efficiency and enhance their partnerships with FENC.

Market changes are accelerating and competition is growing fierce. The Customer Contribution System will help establish and
maintain rapport between FENC and its customers and suppliers, hence creating a win-win.