Customer relation management is a significant feature in the business development which assists for business peoples to get the knowledge about the customer's opinions and can establish the profitable environment. Customer opinions were utilized to enhance the product, so that customer fulfilment and profit will rise desirably. So it is necessary to execute the functional design of customer opinions regarding the products which depends on the time duration. In the earlier work, Customer Knowledge Management (CKM) is established to raise the profit level of industries by tracking the entire regarding the product which is demanded by the customers. Nevertheless, creating and managing the CKM for the huge volume of the customer is a complex task. It results in inaccuracy, if in case it is done manually with less customer information. This issue is rectified in the proposed research methodology by bringing-in the methodology such as Neural Network based Social Customer Relation Management (NN-SCRM). This algorithm is utilized to examine the following factors by gathering the knowledge of the customer review information: "Predict the future, most profitable customers, maintaining quality of product development, customer life time value, identify customers and their products". This is done according to the information of the customer review, which, in turn, obtained from the customers opinions disclosed by their comments regarding the product. This proposed research work is executed and examined in the MATLAB simulation environment from which it is confirmed that the proposed research framework tends to give the best output than the current CKM frameworks.
Customer Relationship Management (CRM) with Time Management involves managing the customer relationship across all its interfaces with the organization to produce the results as per agenda and acts a KPI to maximize the profit. Knowledge management enables the organization to have a competence with the competitors in the efficient way. Data mining techniques are rapidly expanding field in the current scenario and manufacturing is an application area where it can provide significant competitive advantage. Focus of this paper, is to produce proactive solution, forecasting the budgets using knowledge and time management for manufacturing process. It helps to retain and increase the value of long-term customers, customer satisfaction, improving the profitability, service of product at right time and govern the employees in efficient way. Customizing the time frame increases the profitability of organization.
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