A warehouse can be full and still be losing money — through slow-moving stock, inaccurate reorder points, or costs nobody has actually measured. Methods of Inventory Analysis and Control, from the Arab British Fellowship Training Academy, is built to fix exactly that gap between having inventory and understanding it, giving participants the analytical and control skills that turn raw stock data into decisions.

Inventory management picks up where purchasing leaves off: preserving stored items in the same condition they arrived in, and keeping them flowing to the departments that need them through the right policies, planning and control. Done well, warehouse management ensures materials and production keep moving without interruption — which is exactly what this programme trains participants to deliver.

Who Should Attend?

• Managers of institutions and commercial companies.
• Warehouse and inventory management professionals.
• Business owners interested in enhancing their warehouse management skills.
• Warehouse keepers and their assistants.
• Students and graduates of business administration faculties in various universities.

Knowledge and Benefits:

After completing the program, participants will be able to master the following:

• Receive materials and products requiring storage accurately, ensuring their safety, and keep them flowing to requesting departments on time.
• Prevent stock loss, damage, or deterioration while minimising storage costs.
• Apply modern techniques for inventory control in warehouses, and analyse routine organisational problems related to warehouses and procedures.
• Implement safety and security measures in warehouses.
• Write effective inventory control and warehouse management reports, and use modern applications in warehouse operations.

Module 1: Inventory Analysis in Context

• Defining inventory management and its role in operational efficiency, total costs, and meeting customer needs.
• The main types of inventory: finished products, raw materials, and spare parts.

Module 2: The Numbers Behind the Shelves

• How to calculate inventory cost and storage cost.
• Measuring the inventory turnover rate.
• Determining optimal inventory levels.

Module 3: Reading Demand Before It Happens

• Demand forecasting methods based on historical data.
• Trend analysis and identifying seasonal patterns.
• Studying external economic and social influences on demand.

Module 4: A Financial Lens on Inventory

• Evaluating inventory using different valuation methods.
• Cost-benefit analysis and measuring profitability.
• Using financial reports to analyse inventory.

Module 5: Tools and Models That Run the Warehouse

• ERP software and quantitative and qualitative analysis tools.
• The JIT strategy for minimising inventory levels.
• Determining reorder points and using predictive ordering techniques.

Module 6: Control Techniques and Performance Tracking

• RFID and barcode technologies for enhancing inventory tracking, and continuous monitoring.
• Key performance indicators (KPIs) and analysing inventory turnover rate.
• Setting achievable inventory goals.

Module 7: Strategies to Improve and Modernise

• Lean techniques for reducing waste and improving efficiency, and Six Sigma for improving quality.
• Using cloud-based software, smart analysis tools, and big data to improve inventory decisions.

Module 8: Managing Inventory Under Pressure and Across Channels

• Responding to market fluctuations, and analysing risks and their impact.
• Developing contingency strategies.
• How multichannel operations affect inventory, and balancing stock between physical and digital stores.

Module 9: Forecasting Forward and Going Global

• Using historical data and machine learning applications for better forecasting.
• Global challenges: cultural and legal differences, international transportation strategies, and storing inventory across multiple locations.

Module 10: Where Warehouse Management Is Heading

• Technological innovations in inventory management.
• How IoT devices contribute to inventory monitoring.
• The impact of AI and big data analytics on warehouse management.