Before exploring how to use AI in sales and get the maximum benefit from this technology, we need to look at what kinds of artificial intelligence sales professionals can actually embrace in their daily activities. Although there can be other AI-based cambodia telegram data tools like predictive analytics, voice recognition, or even emotion AI, we’ll focus on the key four that, in our opinion, set the ground.
NLP
Natural language processing, most commonly used as NLP, is a branch of AI that enables the interaction between computers and humans. In essence, it allows machines to understand, interpret, and even generate human-like language. That’s why it’s called natural language processing.
AI-powered sales assistants and chatbots rely on NLP to comprehend and respond to conversations. Sentiment analysis is also about this technology to understand customer attitudes, preferences, and potential concerns. Another example here is email parsing, which sales reps use to extract meaningful information from emails.
RPA and SPA
Turning to robotic process automation services is a great strategy for those who deal with lots of manual activities and want to eliminate their quantity. It involves the use of robots or software bots to automate rule-based tasks and help employees focus on more strategic and complex things.
Read more about the Benefits of the RPA Approach
In sales specifically, it’s called sales process automation that applies RPA to support sales-related tasks, such as data entry, lead scoring, or order how to send a payment reminder via whatsapp? use 8 customizable templates processing. SPA contributes to enhanced speed and accuracy of sales processes by streamlining workflows and reducing errors.
AI Data Analytics
AI-based data analytics lies at the heart of many sales operations, being especially helpful for scrutinizing calls. We’ll talk about it further in detail. It generally supports teams in analyzing customer behavior, finding patterns, and informed decision-making. Particularly, predictive analytics can be used for lead scoring, sales forecasting, and optimizing pricing strategies.
On top of that, analytics and artificial intelligence merged together provide a helping hand in training sales reps. Companies can rely on AI algorithms to scrutinize performance data and find what works and what doesn’t in the sales workflows, then train their employees based on the found insights. We’ll also discuss this use case a bit later.
Generative AI
Finally, there are generative AI solutions that have recently entered the game. They refer to systems that can generate new content, such as text, images, or even entire pieces of creative work, based on patterns learned from existing data. Despite betting email list the young age of this technology, 14% of organizations already use generative AI for sales and marketing, according to McKinsey findings.