Operational Analyst at Ipiranga planning fuel distribution and ensuring effective logistics and customer communication. Requires proactive problem-solving and transport management skills.
Responsibilities
Plan and schedule daily fuel deliveries according to customer demand and fleet availability.
Maintain active communication with carriers and the operations team.
Implement service levers to deliver efficient customer service.
Develop tools to improve delivery service and productivity.
Ensure proper fleet sizing: analyze daily available capacity and follow up with carriers on any deviations such as maintenance, differing loading times, or improper driver DSR entries.
Monthly, compare actual needs versus sales forecasts, analyze variation patterns, and align with the internal transport team on the optimal fleet size for upcoming demand.
Maintain active communication with carriers and the operations team, promptly report the issuance of schedules, and notify of any updates or strategy changes to ensure the plan is executed according to customer needs and priorities.
Communicate operational failures, deviations, or issues such as vehicle unavailability, delivery delays, emergency service requests, order returns, truck detention, or rerouting an order to another customer with similar product needs; ensuring communication with all necessary areas to resolve the issue and meet the customer’s requested service level.
Handle customer incidents together with the customer relations team when service is lacking or fails: provide detailed analyses within the agreed OtC team SLA, inform involved areas and managers, and develop action plans to prevent recurring errors that negatively affect customer satisfaction (NPS).
In coordination with peer teams, implement logistics levers such as route linearizations, calendarization, increased drop counts, time-window classifications, and client inventory control to increase service level, fleet productivity and efficiency, and reduce operational costs.
Support the development of tools to analyze delivery punctuality and productivity, as well as systems that optimize scheduling or speed up identification of routes at risk of delays to enable faster course correction and reversal of negative outcomes.
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