According to Pipedrive, sales force automation is a technique of using software to automate the business tasks of sales, including order processing, contact management, information sharing, inventory monitoring and control, order tracking, customer management, sales forecast analysis and employee performance evaluation.
Wikipedia also defined Sales pipeline management. Sales pipeline is a great indicator of a company's health. It can show you the money (that you are going to make in the coming months). Manage your pipeline well and you'll stay well organized and feel more in control of your sales figures.
In my previous article, I have talked about some of the features of a good sales force automation software. In this article, I want to talk about some of the features of sales pipeline management. Follow me as we look at some of these concepts together.
Sales pipeline management is used to describe established sales pipeline process. It has to do with the processes that an organization is using in order to ensure that the product is reaching the final consumers. There are established procedures that the organization is using to ensure that the product is reaching the final customers effectively.
The organization also need to have an established criteria that ensures that some specific conditions are met as far as how their sales process is been carried out is concerned. I have also said it that, for organizations to ensure that customers are able to do some of it on their own with little or no intervention from sales staffs.
Sales force automation software that are bought from other third party organizations can be customized in order to meet the requirements of the organization. This will enable the organization to retain their customers and provide platforms that allow customers to have access to the organization’s services from anywhere.
Sales pipeline management also extracts data from sales forecast and other planned sales activities to align with the sales forecast. Sales pipeline enables organizations to extract established data that predict what a sales will be for a particular year. This data can be compared with what actually happened after sales in order to verify whether their organization achieve their sales target or not.
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