sales-operations-planning

S&OP is a monthly planning process that integrates demand forecasts, supply capabilities, and financial objectives to drive informed business decisions. It balances inventory management by generating consensus plans, assessing capacity, and identifying supply gaps.

To start the S&OP process, gather historical data to generate a baseline demand forecast. The skill guides you through the five-step monthly cycle, from initial data gathering to executive decision-making, utilizing Python for gap analysis and financial reconciliation.

Yes, you can use Python for capacity analysis and scenario planning in supply planning. The skill utilizes Python scripts to facilitate data gathering, perform gap analysis against consensus demand plans, and reconcile financial plans for supply chain optimization.

The best way to fix stockouts and excess inventory is to establish a structured monthly S&OP process. This approach aligns demand planning with supply capacity, facilitating a balanced and profitable plan through consensus forecasting and gap analysis.

You need historical data to run consensus forecasting and financial reconciliation effectively. The skill requires this data to generate baseline forecasts, assess supply constraints, and perform integrated business planning for executive decision-making.