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Transforming Logistic Performance at TotalEnergies with Machine Learning and Power Platform

Logistic Performance

TotalEnergies is a global leader in multi-energy solutions, with operations spanning across oil, natural gas, renewables, and electricity.

With a vast network of service stations worldwide, TotalEnergies is committed to delivering reliable energy solutions while ensuring operational efficiency and customer satisfaction.

Problem Statement

TotalEnergies faced persistent challenges in its 180 service stations located in Cameroon. The stations frequently experienced fuel shortages, resulting in commercial underperformance.

These shortages were attributed to various factors such as delayed orders, transport issues, and operational inefficiencies, impacting the company’s bottom line.

Solution

Walter & Associates, an IT consultancy firm specialising in enhancing business processes, collaborated with TotalEnergies to address the logistical challenges.

Leveraging their expertise in data analysis, machine learning, and Power Platform, Walter & Associates devised a comprehensive solution.

1. Data Analysis and Insights

Walter & Associates began by extracting commercial and operational data from TotalEnergies’ systems. Through rigorous analysis, they identified patterns and classified service stations based on the causes of shortages. This provided valuable insights into the underlying issues affecting logistic performance.

2. Power BI Dashboard

The team developed a custom Power BI dashboard, summarising the findings from the data analysis. This dashboard provided real-time visibility into key performance metrics, enabling stakeholders to monitor logistic operations effectively and make informed decisions.

3. Machine Learning Model

To proactively prevent shortages, Walter & Associates built a machine learning model using Python. By leveraging historical data and predictive analytics, the model accurately forecasted the likelihood of a forecourt running out of fuel. This proactive approach empowered Total Energies to take preemptive measures and optimise inventory management.

Results

The implementation of Walter & Associates’ solution yielded significant improvements in TotalEnergies’ logistic performance:

1. 4% Increase in Transport Performance

By optimising route planning and addressing transport issues, TotalEnergies achieved a 4% improvement in transport efficiency, ensuring timely delivery of fuel to service stations.

2. 40% Reduction in Delayed Orders

Through streamlined processes and proactive monitoring, the occurrence of delayed orders was reduced by 40%, enhancing operational reliability and customer satisfaction.

3. 50% Reduction in Commercial Losses

With the ability to predict and prevent fuel shortages, TotalEnergies experienced a 50% reduction in commercial losses attributed to shortages, resulting in improved revenue generation and profitability.

Conclusion

Walter & Associates’ innovative approach to logistic performance monitoring and shortage prevention empowered TotalEnergies to overcome operational challenges effectively.

By leveraging data-driven insights and cutting-edge technology, TotalEnergies achieved significant improvements in efficiency, reliability, and commercial performance.

This successful collaboration underscores the importance of strategic partnerships and innovative solutions in driving business transformation and achieving sustainable growth.

For businesses seeking to optimise their operations and enhance performance, Walter & Associates remains committed to delivering exceptional support and expertise, ensuring success in every endeavour.

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