Just a short while ago, AI was all the buzz as the next big thing. Well, it’s no longer just a promise—AI is actively reshaping the way we manage our day-to-day tasks and how we conduct business, particularly in sales. With its rapid adoption, everyone’s on the hunt to use this technology for a competitive edge, searching for AI in sales examples.

In fact, consulting firm McKinsey & Company says, “AI is poised to disrupt marketing and sales in every sector.” Their research also shows that “90% of commercial leaders expect to utilize gen AI solutions ‘often’ over the next two years.”

Not only that, but McKinsey’s research shows that organizations that invest in AI are seeing an increase in revenue of 13-15% and a sales ROI increase of 10-20%.

Organizations that invest in AI are seeing an increase in revenue of 13-15% and a sales ROI increase of 10-20%. — McKinsey & Company

Sales leaders understand the value of AI; what they need now is to identify the right tools and understand how to apply them to boost sales performance. To help you, I dug deeper to see how sales teams can use AI. Continue reading to learn what AI-powered sales tools are available, how they function, and how they can turn up the dial on your team’s performance.

7 Top Ways to Use AI in Sales

AI is reshaping sales by turning traditional activities on their head and creating fresh opportunities for growth. Here’s how:

Sales Prospecting

AI streamlines the way sales teams identify and score potential leads. By analyzing large sets of data, AI algorithms can quickly identify patterns and characteristics of ideal customers to make the prospecting process more accurate and less time-consuming. In addition, tools like HubSpot’s AI-powered Breeze Prospecting Agent can automate sales prospecting by researching contacts in your CRM and executing personalized outreach strategies. Both options help you build a more qualified sales pipeline.

Sales Forecasting

AI-driven sales forecasting uses historical data and machine learning to predict future sales trends. This predictive capability allows businesses to make informed decisions on inventory, staffing, and budget allocations, ensuring they’re prepared to meet demand and capitalize on upcoming opportunities.

Lead Generation

Automating the lead generation process, AI tools can sift through data across digital platforms to identify potential customers. By targeting users based on specific behaviors and preferences, AI enhances the efficiency and effectiveness of lead generation campaigns so that marketing efforts are directed toward individuals who are most likely to convert.

Sales Automation

AI takes over repetitive and administrative tasks, such as scheduling meetings, sending follow-up emails, and updating CRM entries. This frees up sales professionals to concentrate on more strategic activities, like negotiating deals and building relationships with clients—areas where human skills are irreplaceable.

Personalization

AI excels at creating personalized communication for customers at scale. By analyzing customer data, AI can tailor messages, recommendations, and content to individual preferences and behaviors, which can significantly impact customer engagement and satisfaction.

Sales Enablement

AI plays a crucial role in sales enablement by automating repetitive tasks, providing personalized insights, and improving the overall efficiency of sales processes. For example, AI can make personalized content recommendations, assess sales calls and provide feedback, and provide valuable insights into customer behavior and preferences.

Analytics and Reporting

AI-powered analytics and reporting tools offer deep insights into sales activities, customer behavior, and market trends. These insights help sales leaders understand what strategies are working, where improvements are needed, and how to better target customers. By continually learning from new data, AI helps businesses stay ahead of the curve in a rapidly changing marketplace.

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Want More AI in Sales Examples?

Discover how generative AI is changing the sales game in this expert interview with Sam Richter. From real-world tools to practical use cases, get insights you can apply today. Listen to the interview.

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5 Types of Generative AI for Sales (With Real-World Examples)

Generative AI is transforming every stage of the sales cycle. From writing prospecting emails to analyzing conversations, these technologies offer powerful ways to improve efficiency and results. Below are five essential types of generative AI in sales—each paired with a real-world example.

AI-Powered Chatbots

Modern chatbots go beyond answering FAQs. Today’s genAI-powered bots handle lead qualification, guide buyers through the funnel, and even personalize product recommendations based on previous interactions.

Example: A software company uses a 24/7 AI chatbot to engage site visitors, qualify leads based on company size and industry, and instantly book meetings with sales reps.

Natural Language Generation (NLG)

NLG tools use AI to create content that sounds human. In sales, this means writing personalized emails, call scripts, and even sales presentations—automatically and at scale.

Example: A financial services team uses NLG to generate custom sales decks based on each client’s investment profile, risk tolerance, and recent account activity.

Predictive Analytics + GenAI

When combined with generative AI, predictive analytics becomes even more powerful. AI can forecast pipeline movement, recommend next best actions, and even generate outreach messages based on likely outcomes.

Example: A medical device company uses predictive AI to identify high-propensity leads, then auto-generates tailored outreach that aligns with their recent behavior and buyer stage.

AI-Powered Sales Prospecting

Sales prospecting tools now use generative AI to research accounts, write outreach messages, and prioritize leads. These tools combine CRM data, buyer intent signals, and genAI to improve outbound performance.

Example: An SDR team uses Regie.ai to generate highly personalized email sequences based on job role, recent company news, and buying intent data.

Sales Coaching and Enablement

AI-driven coaching tools analyze rep performance, simulate sales calls, and generate content recommendations. These tools help teams ramp faster and stay aligned with top performers.

Example: A life sciences company uses an AI dialog simulator to train reps on objection handling. After each simulation, reps get instant feedback and personalized tips to improve.

Pro Tip:

For best results, combine multiple genAI types into a unified workflow—automate outreach with NLG, qualify leads with chatbots, and coach reps with AI feedback tools. The real power of these AI in sales examples comes from integration.

Top GenAI Tools for Sales in 2025

As generative AI continues to mature, several cutting-edge tools are now reshaping sales operations across the entire funnel. Below are some of the most powerful and widely adopted AI in sales examples when it comes to tooling:

Microsoft Copilot for Sales

Built into Microsoft 365 and Dynamics 365, Copilot for Sales offers AI-generated summaries of meetings, auto-drafted follow-ups, and integrated CRM insights—all within tools sellers already use like Teams and Outlook. With real-time data surfaced from connected systems, sales professionals can reduce administrative work and focus on closing deals faster.

Salesforce Einstein GPT

Einstein GPT, Salesforce’s generative AI engine, enables reps to generate personalized emails, auto-summarize account activity, and receive real-time coaching prompts during live conversations. With CRM-native AI, teams benefit from contextual and secure guidance that’s always aligned to customer records and previous interactions.

ChatGPT & Custom GPTs (OpenAI)

OpenAI’s ChatGPT, including GPT-4 and custom GPTs, continues to be a go-to for sales teams looking to draft outreach emails, objection-handling scripts, product messaging, and even roleplay scenarios. With plug-ins and enterprise-grade privacy controls, it’s now widely integrated into enterprise tech stacks.

Regie.ai

Regie remains a top tool for AI-powered outbound prospecting. It combines CRM, sales engagement platforms, and buyer intent data to deliver optimized, timely messages. Its AI continuously learns from campaign performance to improve conversion rates, making it ideal for SDR and BDR teams.

Nooks AI (Autonomous SDR Tool)

Nooks uses AI to act like an autonomous SDR. It automates cold calls, books meetings, and follows up with prospects—without constant rep input. It’s one of the most advanced AI in sales examples for outbound sales teams looking to scale efficiently.

10 Creative Examples of AI in Sales

Now let’s look at 10 innovative examples of AI in sales. These examples showcase the versatility and power of AI in enhancing every aspect of the sales process.

1. 24/7 Lead Qualification Chatbots

A manufacturing company implements an AI chatbot to engage website visitors, asking qualifying questions to identify potential leads based on predefined criteria such as company size, industry, and specific needs. It can also provide information about products or services, gather contact details, and schedule follow-up meetings or demos with sales reps.

2. NLG for Customized Sales Presentations

A financial services firm uses NLG tools to automatically generate personalized sales presentations. By analyzing client data, investment preferences, risk tolerance, and financial goals, the NLG tool can generate tailored presentations that resonate with each prospect, showcasing how the firm’s services align with their needs.

3. Automated Follow-Ups with Buyers

A software company uses AI-powered chatbots to handle routine follow-up tasks, such as scheduling meetings, sending follow-up emails, and answering common prospect inquiries. This automation streamlines the sales process, frees up sales reps’ time, and ensures timely responses to leads.

4. Predictive Analytics for Sales Performance Optimization

A medical device manufacturer uses predictive analytics to analyze sales performance metrics such as win rates, sales cycle length, and deal size. By spotting patterns in sales data, teams can improve processes, target training needs, and refine strategies.

5. Lead Scoring with AI

A software company uses AI to score leads by implementing predictive lead scoring models. By leveraging AI for lead scoring, the sales team can streamline lead qualification processes, focus efforts on high-potential leads, and improve overall sales effectiveness and efficiency.

6. Sales Coaching via AI-powered Dialog Simulators

A life sciences company uses an AI-generated virtual actor to simulate sales scenarios and provide real-time coaching to sales reps. These simulators can analyze conversations, identify areas for improvement, and offer personalized feedback to enhance sales skills.

7. Voice Analysis for Enhanced Sales Conversations

A freight company uses an AI-powered Conversation Intelligence tool to analyze successful sales conversations. The tool can identify patterns and best practices that lead to conversions. Sales teams can then use this data to replicate successful strategies across the team, leading to more consistent and effective sales outcomes.

8. Content Recommendations for Sales Reps

A biotechnology firm uses an AI-powered revenue enablement platform to analyze buyer data and preferences to recommend relevant content to sales reps. This includes recommending content like case studies, white papers, and demos tailored to the buyer’s interests and stage.

9. Competitive Analysis

A financial advisory firm employs AI tools to gather and analyze competitor data from various sources to provide insights into competitors’ strategies, market positioning, and pricing. This information helps sales teams tailor their approach and address competitive challenges effectively.

10. Automatic Translation of Videos in Multiple Languages

A manufacturer based in the United States uses an AI-powered video tool to enable sales reps to automatically convert an English-speaking video to the languages of their customers. Doing so helps sales teams expand their reach, provide personalized communication, and enhance engagement with customers.

The Future of AI in Sales: What These Examples Reveal

As AI technology continues to evolve, sales organizations have an unprecedented opportunity to reimagine how they work. The AI in sales examples we’ve explored show how far these tools have come in a short time.

The future promises even more advanced solutions. From autonomous agents to real-time buyer insights, AI will continue to push the boundaries of what’s possible in sales. To stay competitive, sales teams must be agile, experimental, and committed to leveraging the right AI tools at the right time.

Now’s the moment to move beyond curiosity and start applying AI in your own sales processes. Use these examples as a starting point, and keep testing, learning, and iterating.

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About the Author: Michelle Davidson is a content marketing manager at Allego, where she partners with sales and enablement teams to create content that helps reps engage customers and prospects in meaningful conversations.

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Want More AI in Sales Examples?

Discover how generative AI is changing the sales game in this expert interview with Sam Richter. From real-world tools to practical use cases, get insights you can apply today. Listen to the interview.