Enterprise Resource Planning (ERP) systems are large modular enterprise applications designed for most enterprise business processes. They are mainly intended for transaction processing. ERP systems are used to implement the company's business processes; to implement, modify and maintain ERP systems successfully, one needs to know the company's business processes (BP). BP is a set of activities, the execution of which results in the desired result. Events trigger the execution of the BP. Business activities are performed by employees who represent various functional areas of the company. Enterprise applications provide BP implementation. ERP systems are typically used to implement internal company processes. The basic processes of the ERP are finance, logistics, human resources, and others. The modules of the ERP system are production planning, materials management, sales and distribution, financial accounting, management accounting, and human resource management. The built-in capabilities of the ERP system are limited and depend on computing resources, which are generally limited and not cost-effective. ERP systems are primarily closed-type systems that generate various data from business processes stored in a single centralized database. In general, external data is not available in URP systems to perform any additional activities, such as attracting new customers or marketing activities to perform a more complex business process within the ERP system. Data availability is limited, and there is a need to attract various data sources that provide in-depth value for improving business processes or even increasing business value. Algorithm capabilities in ERP systems are limited. The number of programmers in the ERP system is limited and not freely available to meet the required demand for modifying the ERP system. In work is developed a framework that allows reducing the integration of forecasting methods in ERP systems. A standard integration method has been designed and developed, ensuring a simplified integration process in ERP systems. Implementation of forecasting algorithms in a standard framework. Autonomous forecasting missing data source algorithms approach and framework forecasting evaluation and comparative analysis has been developed.