Cloud Based Extensible Business Management Suite and Data Predictions

Abstract

Introduction: The present research work was carried out using an enhanced market prediction algorithm in the cloud-based business, handing out the CRM system. The approach that is being predicted will handle and forecast the business with a higher degree of precision and constancy, the outcome solution of which is found to be compatible with any organization. Methods: The CRM framework was proposed in order to overcome the lack of multi-module integration and functionalities. The developed application is a complete tool for the purpose of managing the business over cloud. The business owner can host this application on any user interface PHP- and MySQL-enabled server. An optimized regression model was developed to predict the future of business and relationship with the customer. For the experimental test, a sample dataset was collected from the UCI machine learning repository. Results: The proposed prediction algorithm is an extension of the time series–based forecasting model. The projected system is tested with the income and expense cluster data of one year that were projected for analysis and the result shows better accuracy and constancy than the traditional opportunity creation driven model. Conclusion: It has been observed that the proposed Cloud-Based CRM Framework supports the organizations to achieve business predictions and maintain healthy relations with their clients and has worked best for the companies that have to maintain customer end relations. In addition, the customized CRM tool helps business managers and entrepreneurs to define innovative business strategies. The CRM application influences customer satisfaction on a large scale and is dominant for the supply chain system. Overall, the business model indicates that corporate organizations could grab business insights in a cost-efficient way with upcoming forecasting of sales. Discussion: Customer Relationship Management (CRM) is a technology used by the corporate sector to manage potential customers and their experiences in the view of the seller to consumer through purchase and post-purchase. In this era of advanced information technology, the sales departments of multi-product and service-end businesses are struggling hard in order to attain the signal view of the business. The key criterion for business-boosting decisions includes a single dashboard interface with a description of relevant information. The biggest challenge for businesses with umbrella views is to combine the data from various places and obtain market forecasts from the description. The deficiency in data collection and group management causes market loss or a lack of consumer interest in the product.