ABCstock

The software automatically categorizes inventory based on revenue contribution and demand stability. By identifying 'A-items' (critical for turnover), 'B-items' (moderate importance), and 'C-items' (low value), it ensures teams focus on products that drive the most profit. It also flags obsolete items for clearance and prioritizes new product launches, maintaining a healthy, high-turnover portfolio.

The statistical formula and parameters are evaluated and updated every night based on the latest sales data. This self-learning engine updates the connected ERP system automatically while allowing for manual corrections. This flexibility ensures adjustments for one-time events or promotions that historical data might not yet reflect, maintaining high forecast accuracy.

Moving beyond standard formulas, the platform uses artificial intelligence to simulate historical sales patterns and order distributions. It determines the optimal safety of stock and reorder points needed to meet user-defined service levels. On average, this AI-driven approach reduces inventory levels by 20% without increasing the risk of stockouts, directly freeing up working capital.

Unlike traditional ERPs that plan item-by-item, ABCstock consolidates purchase planning by supplier. This 'common sense' feature allows for bundling items from the same vendor to reach specific volume, weight, or cost thresholds. By optimizing orders per supplier, businesses reduce shipping costs and administrative overhead while maintaining a lean inventory.

ABCstock features a clear 'forest through the trees' view of data with advanced search and filtering tools. Users can apply dynamic criteria—such as 'show items below safety stock'—to identify urgent issues instantly. Dynamic reports link directly to item details, offering a level of transparency and ease of use that standard ERP interfaces often lack.