To manage fluctuating demand and control inventory: 1. Use Demand Forecasting to predict needs and adjust stock. 2. Adopt JIT Inventory to reduce holding costs by ordering as needed. 3. Maintain Safety Stock for high-demand items to prevent shortages. 4. Use Inventory Management Software for real-time tracking and adjustments. 5. Diversify Suppliers for flexibility in order volumes. 6. Set Reorder Points and Lead Times to avoid overstock. 7. Apply ABC Analysis to focus on restocking high-demand items. 8. Optimize Order Quantities with EOQ to balance costs. 9. Monitor Sales Patterns to align stock with demand shifts. 10. Coordinate with Marketing for planned demand spikes.

1. Data-Driven Demand Forecasting: I analyze historical sales data, seasonal trends, and promotional activities. By using advanced analytics tools, I create more accurate demand forecasts, allowing for proactive adjustments in stock levels. 2. Dynamic Inventory Replenishment: I leverage both SAP and WMS capabilities to set reorder points and monitor stock status in real-time. I also implement cycle counting to ensure inventory accuracy, which helps in planning for demand surges. 3. WMS-Driven Optimization: I use the WMS system extensively to streamline inventory processes from put-away to picking. Automated tracking and reporting within WMS help in aligning on-hand inventory with projected needs. .

A powerful strategy to manage fluctuating demand is leveraging AI and Machine Learning forecasts. These models analyze large volumes of historical data to identify hidden patterns, predicting peaks and drops with greater accuracy. Additionally, real-time adaptation means that when unexpected changes, like promotions or seasonal shifts, occur, the models recalibrate forecasts automatically, allowing for quick inventory adjustments. In the end, reducing stockouts and excess optimizes cash flow and improves efficiency by balancing available stock with replenishment needs. Is anyone already using AI for inventory management? 🚀

Few things: (a) Understand the underlying reason for fluctuation.. Forecating error, seasonal pull or subdued demand due to external factors etc. (b) Adjustment of nod between push and pull for the segment (c) Make it Agile or Responsive mode depending on supply side situation (d) Most critical is near live visibility of market to avoid Bull whip effect and make point (b) effective