ABC Analysis: Steps, Examples, and Best Practices for Inventory Management

Efficiency and cost control are the keys to modern supply chain success. Companies are always modifying processes and operations to save time and money without sacrificing quality. Inventory control, including ABC analysis, is an easy way to influence efficiency and profitability. 

ABC analysis is an inventory management strategy that enables you to focus efforts on your highest value stock, which lowers your holding costs and reduces waste. This method uses consumption value to categorize inventory into three tiers, then developing control policies for each category. You focus more resources on high-volume, high-value inventory. 

What is Always Better Control (ABC) Analysis? 

ABC analysis (which stands for Always Better Control) in inventory management involves classifying your inventory into three categories based on their value to your business. According to the Pareto Principle, roughly 80% of your revenue comes from 20% of your products. 

Under this principle, you prioritize inventory control efforts on your top-tier products. You focus on inventory accuracy and tighter controls for these products to make sure they’re always on hand when customers want them. You spend less time and effort managing low-profit items. 

Benefits of an ABC Inventory System

ABC inventory management is a balanced approach to stocking and replenishing inventory and offers multiple benefits, including: 

• Resource Optimization: Instead of managing every SKU in your warehouse on every shift, your warehouse managers focus most of their time and attention on your most profitable inventory. 
• Cost Reduction: You avoid overstocking lower-profit items and free up space in your warehouse, which reduces carrying costs. 
• Improved Service Levels: Tightly controlling category A, high-value items reduces stock outs, and you avoid over-ordering low-value, category C items. 
• Better Forecasting: Categorizing your inventory gives you better insight into each product’s demand and value, allowing you to forecast demand more accurately and manage your demand. 
• Streamlined Cycle Counting: You prioritize your counting schedules based on each item’s value and risk.  
• Data-driven Decision Making: Make inventory decisions based on clear criteria and inventory policies instead of spending equal time and effort on all your inventory. 

The Three Categories of ABC Inventory Classification

Effective ABC inventory analysis starts by classifying your inventory into three categories: 

• Category A (High-Value Items): Under the Pareto Principle, category A would be the 20% of your inventory that accounts for most of your revenue. This category requires tight controls. Count your inventory frequently, improve your forecasting for accuracy, and build close relationships with your suppliers. It’s more expensive for you to hold category A items, so you’ll rely more on demand planning and less on safety stock. Examples include top-selling finished products, high-cost raw materials, and critical components. 
• Category B (Moderate-Value Items): These items represent about 30% of your inventory and contribute 15-25% of total consumption value. Count these items periodically, such as once per quarter. Keep enough on hand safety stock on hand to avoid stockouts, but not so much you’re paying holding costs. Use forecast planning to balance your holding costs and ordering frequency. Examples include mid-tier components, seasonal items, and moderate-value products. 
• Category C (Low-Value Items): These items make up 50 – 70% of your inventory but only 5% – 10% of your consumption value. Order these items in bulk to control administrative costs, and don’t count them as often as categories A and B. Examples include low-cost fasteners, packaging materials, and slow-moving spare parts. 

How to Conduct an ABC Analysis for Inventory Management

Follow these steps to implement ABC analysis in your company:

• 1. Gather Inventory Data: Assess inventory management metrics to determine annual usage quantities and unit costs for everything in your inventory. Find the cost per unit, expected annual demand, and turnover rates at a minimum. 
• 2. Calculate Consumption Value: For each item, multiply the annual demand by the unit cost. (Consumption value = Annual Usage x Usage Cost)
• 3. Sort By Value: Once you know every item’s consumption value, rank all your items from highest to lowest. 
• 4. Calculate Cumulative Percentages: Divide each item’s consumption value by the total yearly inventory consumption and divide the result by 100. 
• 5. Classify Items: Group items into categories A, B, and C based on their cumulative percentage. A = top 70% – 80%. B = the next 15% – 25%. C = everything else. 
• 6. Define Control Policies: For each category, define inventory management policies, including review frequencies, safety stock levels, cycle counting schedules, and reorder points. 

Best Practices for Implementing ABC Analysis

Applying best practices to your ABC inventory management is the first step toward optimizing your warehouse: 

• Review Categories: Customer preferences and industry trends change. Reclassify your inventory periodically to see if any items have changed categories. 
• Keep it Simple: Use set percentages or other simple criteria for categories to keep it consistent among your whole team. 
• Use the Right Software: Choose inventory management systems that record and visualize your data. 
• Track Your Inventory: Tracking lead times and other data will help you set reorder points and estimate how much safety stock you need. 
• Adapt: Measure your strengths and weaknesses after implementing ABC analysis and adjust as needed. 

Example of ABC Inventory Classification in Practice

Limitations and Considerations for ABC Analysis

ABC analysis does have limitations, such as: 

• Its sole focus on consumptive value over criticality or variability in lead time. 
• It doesn’t account for changing demand patterns
• It doesn’t account for items with high operational impact but low consumption, such as safety equipment and critical spare parts. 
• It requires accurate data to be effective. 
• You may need to adjust for seasonal items or product lifecycles. 

Combining ABC analysis with other inventory management approaches and following best practices will make it more effective. Consider RFIDs for inventory for real-time visibility. 

Optimize Inventory Control with Accurate Classification

With accurate data, ABC analysis in inventory management helps you prioritize your inventory control efforts based on each item’s value to your company. Accurate, reliable data is a core component. 

Surgere’s inventory tracking and management solutions give you critical usage and lead time data to optimize your ABC analysis. Schedule a demo today to learn how we can help you make operations more effective.