Global Demand Planner - job 1 of 2

As a Global Demand Planner at Lime, your main responsibilities will include developing and refining demand forecast models, analyzing large datasets, continuous improvement of forecasting processes, and collaborating with cross-functional teams. You'll assist in demand forecasting, market trend monitoring, and ensuring data integrity in reporting, which is essential for precise decision-making in our supply chain operations.

To become a Global Demand Planner at Lime, you should ideally have 3-5 years of experience in demand planning or supply chain management, along with a bachelor’s degree in supply chain management, business, or a related field. Advanced qualifications like a master's degree or APICS certification (CPIM, CSCP, or CLTD) will be advantageous, as will proficiency in various forecasting tools and methodologies.

A Global Demand Planner at Lime ensures accurate forecasts by integrating historical shipment data, analyzing seasonal trends, and considering strategic program activities in their forecasting models. They continuously assess market dynamics and product performance, allowing them to make timely adjustments that support the company's goals and mitigate potential risks.

A Global Demand Planner at Lime should have proficiency in various forecasting tools and software, including Anaplan, NetSuite, Oracle, Tableau, and Google Sheets. Familiarity with statistical methodologies, inventory management principles, and demand planning processes like IBP or S&OP is also crucial for effectively carrying out the responsibilities of the position.

The work environment for a Global Demand Planner at Lime is dynamic and collaborative. You'll work closely with teams across Inventory Management, Supply Planning, Logistics, and Finance, creating an impactful role that's key to maintaining efficient supply chain operations. Lime fosters a culture of innovation and inclusivity, making it an exciting place to build a career.

When addressing demand forecasting in a rapidly changing market, I emphasize the importance of data analysis and adaptability. I utilize historical data, market trends, and predictive analytics to create flexible forecasting models that can be adjusted as new information arises. It's essential to remain collaborative with cross-functional teams to stay aligned with changing business dynamics.

Certainly! In a previous role, I initiated a project to enhance demand planning accuracy by integrating advanced analytics and revised forecasting methodologies. By collaborating closely with sales and marketing teams, we gathered relevant insights, improved data quality, and regularly reviewed performance metrics, leading to a 15% increase in forecast accuracy over six months.

I am proficient in several forecasting tools, including Google Sheets, Anaplan, and Oracle. I have experience utilizing these tools to create insightful dashboards and reports that facilitate decision-making. My familiarity with statistical methodologies enhances my ability to leverage these tools effectively for accurate demand planning.

When discrepancies arise between demand forecasts and actual sales, I conduct a thorough analysis to identify the root causes. It often involves reviewing historical data accuracy, market behavior, and external factors influencing demand shifts. I then collaborate with relevant teams to adjust forecasting models and improve future accuracy.

Collaboration is vital in demand planning at Lime. As a Global Demand Planner, I would regularly work with teams in Inventory Management, Supply Planning, Logistics, and Finance to ensure we incorporate varied insights that affect demand. Effective collaboration aids in aligning our forecasts with business strategies and improving overall operational efficiency.

For demand trend analysis, I employ techniques such as time series analysis, seasonality detection, and regression analysis to identify patterns. I also utilize visualization tools to communicate these trends effectively, allowing stakeholders to easily grasp and act on insights from the analysis.

Ensuring data integrity in forecasting models involves strict validation procedures and regular audits of the data inputs. I implement process checks, version control, and continuous training for involved teams to uphold quality data entry standards, which are crucial for generating reliable forecasts.

When managing multiple forecast requests, I prioritize tasks based on urgency and impact. I maintain a clear communication channel with stakeholders to clarify expectations and deadlines. Using project management tools, I can effectively track progress and adjust priorities as needed to meet the company’s objectives.

To identify inventory challenges, I would regularly analyze turnover rates, monitor stock levels against forecasts, and review customer order patterns. Implementing predictive analytics can proactively highlight potential issues, allowing for timely adjustments to minimize disruptions and capitalize on opportunities.

In demand planning, I track various key metrics, including forecast accuracy, inventory turnover ratio, service levels, and demand variability. These metrics help assess the effectiveness of our forecasting processes and inform continuous improvement initiatives within supply chain operations.