Mercy Mogaki

Validated and manage logistics service providers' and suppliers' data and document accuracy within the Transport Delivery System, ensuring the integrity of information used for analytics.
Utilized data analysis techniques to identify and implement cost-effective solutions, optimizing fleet performance and reducing downtime by making informed decisions
Leveraged data insights to communicate effectively with drivers, providing them with actionable information to improve delivery efficiency and customer satisfaction.
Used data analytics to enforce strict adherence to company-defined guidelines and procedures for cash handling during last-mile operations, enhancing financial transparency.
Participated actively in daily team meetings, contributing data-driven insights and recommendations for operational enhancements, fostering a culture of data-driven decision-making
Utilized data visualization tools to create interactive dashboards for tracking driver locations and estimated arrival times, improving transparency and decision-making
Continuously contributed data-driven insights and ideas during team meetings, fostering a culture of data driven decision-making and continuous improvement in operations.

Employed data analysis through an Order Management System (OMS) to facilitate efficient and data backed item shipping processes, optimizing delivery routes and timelines
Utilized data-driven approaches to process customer returns, verifying if items meet quality standards based on return reasons, and facilitating data-driven insights into return trends
Utilized data analysis techniques to perform meticulous quality checks on items before shipping, ensuring data-driven insights guide the decision-making process for item readiness.
Leveraged data analysis to promote higher customer satisfaction by analysing customer feedback and issues, identifying trends, and recommending data-driven solutions for improvement
Enhanced product quality by employing data analysis in the quality assurance process, leading to reduced defects and improved customer satisfaction.
Utilized data analysis within the OMS to optimize shipping processes, resulting in improved delivery efficiency and reduced shipping errors.
Applied data-driven return processing to identify quality trends, enabling the implementation of targeted quality improvement initiatives

Employed data analysis techniques to track and monitor the progress of issue resolutions across departments, ensuring timely and data-backed solutions.
Applied data analytics to handle special requests from management regarding the implementation of new processes, ensuring data-backed decision-making and process optimization
Applied data analytics to handle special requests from management regarding the implementation of new processes, ensuring data-backed decision-making and process optimization
Applied data analytics to successfully implement new processes, optimizing operations based on data driven decision-making, and meeting management's special requests.
Actively listened to customer requests and used data analysis to confirm complete understanding, facilitating more personalized and data-driven issue resolution

Successfully optimized on-time and complete customer order deliveries (OTIF) by implementing Mpesa payment enforcement during deliveries, resulting in improved cash flow and customer satisfaction.
Led the development and implementation of data-driven logistics strategies that reduced operational costs by 15% while maintaining service quality.
Achieved 100% inventory accuracy through meticulous monitoring, frequent stock counts, and collaboration with cross-functional teams.
Streamlined order processing in the warehouse, resulting in a 10% increase in efficiency and adherence to FIFO and FEFO principles.
Ensured compliance with SOPs, leading to enhanced process consistency and reduced errors in logistics operations.
Supervise warehouse order processing activities, ensuring strict adherence to established processes and procedures.
Enforce compliance with SOPs, emphasizing FIFO and FEFO principles.
Enhanced on-time and complete customer order deliveries (OTIF) by leveraging data analysis to implement Mpesa payment enforcement during deliveries, resulting in improved cash flow and heightened customer satisfaction.
Led the development and implementation of data-driven logistics strategies that reduced operational costs by 50% while maintaining service quality.
Achieved 100% inventory accuracy through data-driven monitoring, frequent stock counts, and cross-functional collaboration.
Improved order processing efficiency by 10% using data-driven strategies, ensuring strict adherence to FIFO and FEFO principles.
Enhanced process consistency and reduced errors by data-focused SOP compliance.