Lesson 7.4 – Operations & Supply Chain Analytics | Inventory, Logistics, Forecasting

📦 Inventory Management

Inventory analytics helps businesses strike the balance between stockouts and overstocking. By analyzing historical sales and seasonal trends, companies ensure optimal stock levels.

• ✔ Safety stock optimization
• ✔ Inventory turnover ratio monitoring
• ✔ Demand-based replenishment planning
• ✔ Reducing carrying costs

🚛 Logistics Optimization

Logistics analytics optimizes the movement of goods from suppliers to customers. It reduces costs while improving delivery speed and reliability.

• ✔ Route optimization using GPS and real-time data
• ✔ Carrier performance evaluation
• ✔ Reducing fuel and transportation costs
• ✔ Tracking on-time deliveries and delays

📊 Demand Forecasting

Forecasting demand is essential for smooth supply chain operations. Using historical sales data and external factors (seasonality, promotions, economic trends), businesses plan production and distribution efficiently.

• ✔ Predicting seasonal peaks and troughs
• ✔ Avoiding underproduction or overproduction
• ✔ Enhancing supplier collaboration with shared forecasts
• ✔ Supporting just-in-time manufacturing

🛠️ Tools for Supply Chain Analytics

• ✔ SAP Integrated Business Planning (IBP)
• ✔ Oracle SCM Cloud
• ✔ Tableau / Power BI dashboards
• ✔ Python (statsmodels, Prophet) for demand forecasting