Most of the sales organization today are trying to balance the need to service existing customers vs identifying new customers. Most of the time is spent in chasing customers that may not be ready yet to engage with your sales team. So, how do you know when to engage with potential customers? This is where AI/ML can help identify the prospect to target, making your sales person more productive.
Typically, salesperson trying to tap into a rich pipeline of qualified potential clients must constantly make decisions regarding where their time and energy are best focused in order to close deals. Often, this decision-making process relies heavily on experience and gut instinct. Unfortunately, regardless of how seasoned a salesperson is, gut instinct is not always reliable. As a result, a lot of time can be poured into pursuing clients who are not ready to make a decision while neglecting clients who are.
By harnessing the power of AI, a sales team can spend less time chasing down the wrong leads, and can spend their time well with pursuing highly probable customers, thereby boosting overall productivity and success. In all likelihood, most organizations already have large collections of data regarding their customers’ behavioral and purchasing patterns. AI can be used to gather historical information about a client, the salesperson’s interaction history with the client and even the client’s social media posts. AI can identify these patterns and generate models to correlate signals if and at what point a customer has made a purchase. Then, those patterns can be applied to new prospects to recognize where they are in the pipeline. AI can make predictions about what solutions would be effective for a potential client.
To Learn more on how AI can be deployed for your organization, reach out to us.