The article deals with the general linear problem of resource allocation. Statement of the problem is designed to complement and combine well-known methods for solving linear problems of resource allocation. The formulation of the problem is represented by the system of mandatory and orienting rules. The technology of search for solution is designed for expert working in the interactive mode of computational experiment.

The article presents the innovative method of cost planning with taking into account the priorities of expense items, and the active online service which enables the method usage in a variety of client applications. Widest area of the service usage is the budgeting, although the service allows flexible and dynamic planning of any resource costs. The important innovation for users is ability to specify the expected resource amount and the requests for resource as numerical segments, receive results in the same form, and then clarify the plan in the course of its implementation.

The article presents the advanced technology of the normalized commodity-money relations. The technology is considered as updating the model of the normalized economic mechanism. The core of this technology is the e-trade with direct lending where deferred portion of the payment is documented as the buyer's debt to the seller (not to the bank!). The technology of e-trade with direct lending provides the possibility of early repayment of debt amounts to the sellers of priority goods. This repayment is fulfilled by the debt department of the state central bank. Rules of emission of debt amounts are presented in the advanced model of normalized money. The important innovation in normalized e-trade is the rule of obligatory state online certification of transactions.

The article describes the technology of planning the supplies of scarce product in numeric segments, taking into account the priorities of orders. Formulation of the problem is represented by the system of mandatory and orienting rules to reflect relationships between input and output variables. Input of the problem includes production capacity, orders and their priorities. Output is the supplies plan. The technology presented in the paper is implemented in the online service.

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