Maximize sales efforts
by using AI for identifying
It is a sales technique designed to persuade customers to upgrade to a higher tier or better product. By using modern AI techniques, sales departments can be helped to make the best use of their resources to get as much out of their efforts as possible. We will go into detail about how you can create your own upselling model with zerocode.ai in this article.
Companies only have limited resources, and knowing where and to whom to target upselling is key to using resources efficiently. This not just makes the sales department more efficient, but also leads to happier customers, as each customer gets the product that best suits their needs. Current manual upselling techniques are not data-driven, and as more companies adopt these AI tools for sales, manual techniques will become even less important.
The opportunity for deep learning
Because sales today is entirely digital, or at least involves digital interactions, many data points are captured in an automated way. And many different variables and data points are key to a problem for which AI could be the solution. Not only can AI be used to automate tasks that a human could do, but it can also help find patterns that would not be visible to the human eye.
AI model to use
For this use case, our model of choice is: Tabular data classification
How does the model work?
Out of the tabular data we have, we need to pick out some columns that we know about the customer, the product or the context. These columns are used as input and are usually called input features. At that point, we need to select a column that we want the model to predict, which is the label feature in the training dataset.
What columns to include in the table data depends on what is accessible and what can be found out by trying different variations of zerocode.ai. It is also useful to be creative when thinking about what features can be used.