ANIRUDHA LOKHANDE

• Managed Supply Planning activities by balancing customer demand, inventory availability, and operational constraints to support on-time order fulfilment.
• Partnered with Sales, Procurement, and Operations teams to support Demand Planning, analyze demand patterns, resolve supply risks, and improve planning decisions.
• Coordinated Supplier Management, Purchase Orders, and Shipment Tracking, ensuring timely material availability while proactively resolving order and logistics exceptions.
• Managed Order Management activities from planning through dispatch, collaborating with internal stakeholders to ensure smooth execution and customer satisfaction.
• Enhanced existing Excel-based KPI Dashboards, Performance Reports, and planning trackers, improving data accuracy, reporting efficiency, and visibility into key operational metrics.

• Supported end-to-end governance of core supply chain processes, ad-hoc reporting, ensuring alignment across demand planning, logistics, and commercial teams.
• Acted as a single point of coordination between regional stakeholders, enabling smoother information flow and faster issue resolution across clusters and sub-regions.
• Developed and presented monthly Supply Chain Performance Update decks for senior stakeholders, highlighting trends of costs, logistics KPIs, inventory, OTIF, and noting gaps, for improvement opportunities.
• Identified inconsistencies in forecasting accuracy, reporting logic, and data reliability; worked with regional managers to translate insights into actionable process improvements.
• Maintained and enhanced existing and newly developed Power BI reports to ensure relevance, consistency of KPIs across regions, supporting transparent and informed decision-making.

Additional Responsibility – S&OP Pilot Project (from mid-September 2025):

• Supported the early embedment of the Sales & Operations Planning (S&OP) process within one cluster as a pilot initiative.
• Worked closely with planning, logistics, and commercial stakeholders to define roles, data flows, and decision checkpoints.
• Assisted in establishing governance routines and performance tracking frameworks, with the objective of scaling the S&OP model across clusters and sub-regions.

Key Impact: Improved cross-functional visibility, standardized reporting practices, and strengthened accountability across supply chain function, and contributed to structured decision-making in a complex business landscape.

a. Logistics Cost Control & Process Governance

• Conducted detailed assessments of logistics cost structures across regions, integrating operational data with commercial and financial perspectives.
• Supported the design of a logistics governance framework to improve cost transparency, accountability, and decision-making at sub-regional and regional levels.
• Analyzed and reported key manufacturing and logistics KPIs such as Euro/Ton/Km and Logistics Value Added (LVA) to identify inefficiencies and improvement levers.
• Collaborated with external consultants to create, design and implement Power BI-based reporting aligned with industry benchmarks.
• Delivered user training and stakeholder support globally, ensuring adoption of new reporting tools.

a. Demand Planning & Sales Integration

• Studied product portfolio, analyzed market trends, and monitored sales evolution to support planning decisions.
• Collected and integrated feedback from commercial teams to refine forecasts and improve demand accuracy.
• Supported demand planning process by analyzing Sales Forecast Accuracy (SFA) KPI and identifying root causes of deviations.
• Oversaw process governance for Sales Managers, ensuring consistent tracking of their KPIs, activities, and performance outcomes.
• Prepared and facilitated Demand Validation Meetings (DVMs) involving sales, commercial, and planning stakeholders to align on market realities.
• Strengthened collaboration between supply chain and sales teams by introducing structured governance mechanisms (meeting cadence, performance tracking, documentation).
• Led data quality improvement initiatives to standardize datasets, improving reliability of monthly projections based on order status and enabling quicker corrective actions.