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Value chain analysis and network design for a global white goods manufacturer

Our client is a global white goods manufacturer with 36 locations across 10 countries worldwide

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Challenge

The company was struggling with inefficiencies in its distribution network, which included both owned factories and external suppliers. The lack of a centralized system for tracking and analyzing distribution costs led to a situation where non-profitable distribution flows were not readily identifiable. This oversight resulted in unnecessary financial losses and operational inefficiencies, as resources were allocated to unprofitable activities without clear visibility on their impact on the company’s bottom line.

Actions

To address these challenges and improve the profitability of its distribution network, the company undertook the following strategic actions:Development of a Central Profitability Database: The company developed a comprehensive database designed to centralize all data related to distribution costs, including those from owned factories and external suppliers. This involved integrating data from various sources and ensuring its accuracy and timeliness.Advanced Analytics Implementation: With the central database in place, the company implemented advanced analytics tools capable of dissecting the data to identify inefficiencies and non-profitable distribution flows. This included the use of predictive analytics to forecast future trends and potential areas of concern.Cost Reduction Initiatives: Based on the insights gained from the database and analytics, targeted initiatives were launched to eliminate or restructure non-profitable distribution flows. This involved renegotiating terms with suppliers, optimizing routes, and streamlining operations to reduce unnecessary costs.Continuous Monitoring and Improvement: The company established a routine of continuous monitoring of distribution costs through the central database, allowing for real-time adjustments and ongoing optimization of the distribution network.

Results

The introduction of the central profitability database and subsequent strategic actions led to significant improvements in the company’s distribution network:Reduction of Non-Profitable Flows: The company successfully identified and reduced 7% of non-profitable distribution flows, directly improving the overall profitability of its operations.Increased Operational Efficiency: The optimization of distribution routes and restructuring of certain flows led to enhanced operational efficiency, with reduced lead times and lower operational costs.Improved Financial Performance: The elimination of unprofitable distribution activities contributed to an improvement in the company’s financial performance, with resources being reallocated to more profitable areas.Data-Driven Decision Making: The central profitability database empowered the company to make informed, data-driven decisions regarding its distribution network, setting a foundation for sustained efficiency and profitability improvements.This success story highlights the transformative impact of leveraging data and advanced analytics to identify and eliminate inefficiencies within a distribution network, underscoring the importance of data-driven decision-making in achieving operational and financial improvements.

Short summary

To address inefficiencies in its distribution network, the company developed a central profitability database to analyze all distribution costs from owned factories and external suppliers. By leveraging advanced analytics, the company identified and reduced 7% of non-profitable distribution flows. This strategic initiative not only enhanced operational efficiency and financial performance by reallocating resources to more profitable areas but also established a foundation for continuous improvement and data-driven decision-making in managing the distribution network. The success of this project demonstrates the power of centralized data analysis in optimizing supply chain operations and improving profitability.