How would you optimize inventory levels to meet fluctuating demands in automotive manufacturing?

The problem I see with most stores is they chase sales or mis peak demand periods. And the bigger tragedy is the management doesn't understand how devastating that is to sales, profitability and customer confidence. Point of sale systems my nature are designed to reorder based off sales history. Correct sales history is dictated by being instock 100% all the time. During peck times, weekends, seasonal sales,weather change, events, sales etc. We try to build profiles into the systems to anticipate seasons and events but again that is somewhat based off history plus current sales trend. All that being said it is imperative, that store personnel and management. Utilize daily exception reports that roll into weekly and monthly reports.

Identify top sales items, out of stocks, items on hand with no movement (maybe sitting instock room or possible theft). Work exceptions daily identify and correct the issue. Ensure on hands are correct, self capacity is correct for everyday sales. If sales are trending up push replacement up to keep up with sales. Utilize reports from last year to plan upcoming seasons and events.

The manufacturer as to forecast properly has well, for supply and demand. Lead time is a big factor in replenish. It is important the manufacturer has real time point of sale data. And the manufacturer needs to be prepared and supply for upcoming seasons and events. Working with the manufacturer to lower cost and improve, just in time deliveries, that help to carry less inventory and improve turns and decrease shrinkage. Thinking out of the box, improve packaging, case pack qualities. Labeling for a better customer experience.

Teach associates and make sure that have the time to execute Utilizing daily exception reports that roll into weekly and monthly reports. That will identify top sales items, out of stocks, items on hand with no movement (maybe sitting instock room or possible theft). Work exceptions daily identify and correct the issue. Ensure on hands are correct, self capacity is correct for everyday sales. If sales are trending up push replacement up to keep up with sales. Utilize reports from last year to plan upcoming seasons and events.

Work with manufacturer to improve just in time deliveries. Less lead time. Best case pack quantities Use technology to set max self space quantities. Base on sales and system's reorder. The case pack should always fit on self

Technology integration, specifically AI/ML, can optimize inventory levels in automotive manufacturing by analyzing historical data, current market trends, and real-time demand signals. AI algorithms can predict demand fluctuations more accurately, allowing manufacturers to adjust inventory levels dynamically. This minimizes overstocking and stockouts, reducing storage costs and enhancing operational efficiency. ML algorithms can also optimize supply chain logistics by predicting lead times and identifying efficient reorder points. This data-driven approach improves responsiveness to market changes and ensures automotive manufacturers can meet fluctuating demands effectively.

Regular performance analysis optimizes automotive inventory by analyzing metrics like sales forecasts, production rates, and inventory turnover. This data-driven approach adjusts inventory dynamically to meet fluctuating demands, minimizing costs and enhancing customer satisfaction.