The ABClog methodology helps classify products according to their price, annual consumption and operational importance.

It identifies the products where quick-win actions can be implemented to optimize inventory value and improve service level.

ABClog methodology presentation

You can download a short presentation of the methodology here:

PDF presentation:

https://www.inventorybigdata.com/wp-content/uploads/presentations/InventoryBigDataABClog2eng.pdf

ABClog website:

https://www.abclog.com

Inventory analytics

Inventory management is a real challenge for industrial companies. Too much stock is expensive and increases working capital. On the other hand, stock levels that are too low can create shortages, lost sales, customer disappointment and damage to the company’s reputation.

Stock-outs are therefore a major concern. Data analysis helps teams monitor inventory levels, reduce overselling risks and improve stock visibility. It can also accelerate order management by supporting automation and faster order fulfilment.

Key questions addressed

The methodology provides a global view of inventory performance and helps teams question:

• The amount of stock required to meet customer demand while maintaining a minimum stock level.
• How to optimize stock management and improve performance with a low turnover rate.
• How to reduce the operational and financial impact of product recalls.

Improve inventory management with data analysis

There are several ways to improve inventory management, and data analysis is one of them. By tracking trends and detecting patterns, teams can better understand their inventory situation and improve operational efficiency.

A structured inventory management approach helps companies gain a competitive edge, improve customer satisfaction and reduce costs without compromising quality.

With regular monitoring of stock levels, supply chain teams can reduce shortages, identify inventory risks earlier and make better planning decisions.

What the diagnostic can support

• Consumption analysis for inventory optimization.
• ABC and ABClog classification of inventory items.
• Identification of high-value and high-risk products.
• Detection of quick-win actions to reduce inventory value.
• Improvement of service level and shortage prevention.
• Transformation of ERP data into actionable inventory insights.