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The Demand Driven Supply Chain
Technology Category
- Analytics & Modeling - Predictive Analytics
- Application Infrastructure & Middleware - Data Exchange & Integration
Applicable Industries
- Consumer Goods
Use Cases
- Predictive Replenishment
- Supply Chain Visibility
Services
- System Integration
The Challenge
Campbell Arnott’s, a player in the fast-moving consumer goods (FMCG) market, faced increasing competition and cost pressures across the supply chain. The company needed to adapt to new consumer trends and competitive strategies implemented by retailers. Amid these dynamic factors, Campbell Arnott’s recognized the need to ensure their teams continue to do their jobs efficiently and have the technology that supports the process of continuous improvement. The company sought to improve forecast accuracy, reduce stock-outs, and decrease inventory levels. They also aimed to create alignment across supply and demand planning to drive greater operational synergies.
About The Customer
Campbell Arnott’s is a company in the fast-moving consumer goods (FMCG) market. The company faces increasing competition and cost pressures across the supply chain. They need to adapt to new consumer trends and competitive strategies implemented by retailers. Amid these dynamic factors, Campbell Arnott’s recognized the need to ensure their teams continue to do their jobs efficiently and have the technology that supports the process of continuous improvement.
The Solution
Campbell Arnott’s implemented Blue Yonder’s forecasting and replenishment capabilities, used by the supply planning team and customers’ supply chain team. The solutions are fully integrated such that with any changes in demand planning, the supply planning team has access to real-time data. This integration enables the company’s supply planning team to supply the factories with up-to-date data, allowing them to optimize their production assets. In addition, with market changes, the team has flexibility to revisit and update the plans in response to these changes. Real-time, integrated data has led to better response and reduction in errors.
Operational Impact
Quantitative Benefit
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