See how one of the major car parts wholesaler identifies fraud, enhances stock planning and forecasts the demand for car parts.
Challenge
Differences between the quantity of products in stock and between the quantity in the warehouse system (fraud detection).
Unscheduled, unusual changes in the quantity of products in stock.
Often occurring late payments.
Solution
Algoline models implementation – solution which informs about incorrect storage records.
Early warning of product unavailability in warehouses.
Assessment model of the counterparty in terms of the risk of default on time.
Detection of relationships between counterparties that may affect payment behavior.
Benefits
Repair of processes related to the flow of goods.
Forecasting the quantity of goods in a given period.
Identification of fraud scenarios.
Stock planning based on customer segmentation.
Comprehensive solution to detect fraud.