Lalit Kishore Manivannan

· Develop effective forecast models based on industry trends and demand patterns.

· Analysis of sales trends and demand data using statistical method, Market Research, Sales force composition and econometric method.

· Introduced IBP and facilitated integration meetings within the IBP cycle.

· Ensure the forecast accuracy by performing the root cause analysis for forecast variance.

· Ensure the ordering as per the demand and ensure that there are no OOS.

· Develop strong relationships with other departments across the Group Operations.

· Weekly coordination with the factory about the inventory level, Projected orders, demand, SOH, SLOB’s, OOS and recovery plan.

· Maintain the inventory level as per the standards.

· Analysing available data from demand planning, inventory reports and other resources.

· Recommending changes to the way the company handles inventory.

· Anticipating factors that might influence demand, such as seasonal slowdowns or upcoming promotions.

· Maintaining enough inventory to meet demands without overstocking.

· Collaborating with operations, production and other supply chain department team members.

· Lead supply chain functions through strategy, resource optimization, profitability maximization, and Key Performance Indicators (KPIs), related to forecast accuracy, inventory levels, and in full delivery.

• · Develop effective forecast models based on industry trends and demand patterns.
• · Handled 1000+ SKU’s related to Health, Beauty & Wellness.
• · Analysis of sales trends and demand data using statistical method, Market Research, Sales force composition and econometric method.
• Reviewing historical sales trends
• Obtaining information on occurrences that could impact demand like promotions and production delays
• · Lead monthly demand review meetings, presenting forecast performance, insights, and action plans to senior management
• Close coordination with Sales, Marketing and Finance to obtain, decide on and ensure that current and accurate information is used for demand forecasts for each SKU.
• Perform root cause analysis for forecast variance and support sales and marketing in creating innovation plan based on previous actual data.
• Assist in cross-functional research activities to reconcile significant variances and refine the forecast model to reflect updated sales and marketing assumptions.
• Coordinate and Manage inventory classifications of all SKUs.
• Ensure no SLOB’s because of Shelf life.
• · Building strong and collaborative relationships with internal and external stakeholders.
• Refining systems and methods to improve forecasts in order to better anticipate customer need.