CUSTOMER SUCCESS PARTNER
A.P. Moller Maersk (Myanmar) Co Ltd
مجموع سنوات الخبرة :5 years, 11 أشهر
• Serve as the primary point of contact for assigned clients, cultivating strong relationships, and understanding their unique needs and objectives.
• Act as a trusted advisor on optimizing logistics operations and best practices throughout commodity lifecycle - all the way from outsourcing raw material till cargo lands safely arrived at consumers' premises.
• Execute Purchase Orders, Sales Orders, Sales Invoicing and booking invoices in the system.
• Establish and maintain relationships with suppliers, negotiate contracts and ensure timely delivery of goods and materials. Evaluate their performance and implement improvements as necessary.
• Perform data analyses to make data-driven decisions and optimize supply chain performance - Power BI, SAP, SFDC and NPS culture.
• Develop Supply Chain scorecards, dashboards, reporting and analytics.
• Collaborate with Project and Production teams to forecast demand accurately.
• Collaborated closely with cross-functional teams to prioritize tasks, mitigate risks, and drive project success within established timelines and budgets.
• Conduct research and analysis on development trends and their implications on the supply chain industry.
• Research and identify new business opportunities - including new customers, new markets, partnerships, and develop new ways of reaching existing and new markets.
• Communicated project status, findings, and recommendations effectively to stakeholders at all levels, including Executives, through comprehensive reports, presentations, and workshops.
• Led multiple shipping and maritime-related projects from conception to implementation, ensuring alignment with business objectives and delivering measurable results.
• Be available and come up with the optimum solution when things fall out of the happy business lifecycle flow and help ensure to get it back on track with minimum negative consequences to company and customer experience.
◦ Identify potential clients and key decision-makers within city authorities, urban planning agencies, logistics companies, and other relevant organizations.
◦ Conduct thorough research to understand the specific needs and challenges of target prospects.
◦ Provided expert business consulting services to clients in the logistics and maritime industry, advising on process optimization, risk management, and technology adoption.
◦ Identify potential clients in urban areas with complex logistics needs, such as last-mile delivery, congestion management, and compliance with urban regulations.
◦ Effectively communicate the features, benefits, and value proposition of our smart city last-mile delivery solutions.
◦ Develop and implement strategic plans for last-mile delivery, improving delivery times, innovative delivery methods, urban warehousing, sustainable transport options and reducing transportation costs.
◦ Promote transportation services that offer specialized last-mile delivery options, including same-day delivery, click-and-collect, and local distribution centers.
◦ Collaborate with transport and city authorities to ensure compliance with zoning regulations and environmental standards in last-mile delivery operations.
◦ Monitor market trends and keep abreast of urban technology to adjust sales strategies and maintain competitive edge.
◦ Organize workshops and conferences with both internal and external stakeholders to promote knowledge sharing and collaboration between logistics and urban environment, raising smart city awareness.
◦ Analyzed large datasets using statistical tools.
◦ Create reports, dashboards, and visualizations to communicate findings and recommendations effectively to internal teams and clients.
◦ Developed predictive models to forecast trends and patterns, contributing to more accurate decision-making processes
◦ Collaborate with meteorologists, urban planners, emergency response teams and other stakeholders to provide accurate weather information for planning.
◦ Identify anomalies or issues in data collection and implement corrective measures to ensure data accuracy and reliability.
◦ Assisted in research projects focused on climate modeling and weather prediction.