How To Use AI For Sales To Boost Your Bottom Line

Maybe in the future when chatbot technology improves, this will change, but for now, we’ll leave chatbots out of it. You may have the best reps in the world, but they still need ongoing training, if only to keep up with the latest technological developments. Thanks to AI, managers have the tools to monitor performance in real time. Another task that eats into sales productivity is figuring out which leads to call first. Machine learning helps you spot patterns to determine which leads are most likely to convert, enabling more logical decision-making. While there will always be a human element to generating leads, AI makes the task easier by helping reps reach out to targeted prospects.

As we’ve already talked about, AI can analyze mountains of data in the blink of an eye. Some of this data will pertain to the common objections your reps hear on a regular basis. You might find that Company ABC has a unique need after using AI to analyze its latest quarterly earnings report. You can then approach this company and offer to sell them Product XYZ, which was made to remedy the exact situation the company now finds itself in. AI can also help you sell more products/services to the customers you already have.

Equip your organization to make the most of prescriptive and predictive sales AI

It’s no secret that computers are better at automatically organizing and processing large amounts of information. Artificial intelligence has advanced to the point where it can also artificial intelligence in sales recognize where change is needed and initiate those changes without human intervention. The ability for AI technology to improve on its own over time is called machine learning.

The goal of this process is to create a more holistic, comprehensive, and accurate understanding of a prospect, lead, customer, or process. AI tools today can track competitor activity online in real time and automatically surface the critical insights you need to know. That drastically reduces the amount of time spent getting a clear picture of what the competition is doing—so you can reallocate the hours in your day to actually beating them. Using its powers of prediction, AI can make increasingly accurate estimates of how likely it is that leads in your database close.

Managing for Performance

Buyers are inundated with content in every channel and so many vendors. Sellers are often pulled in many directions, with too many tasks and responsibilities to tackle. Thankfully, AI-guided selling is helping sellers navigate the complexity of digital-first sales. All these forms of AI assistance will enable sales professionals to get back to doing what they do best — selling — something they currently spend just 34% of their time doing, according to Salesforce. Sales representatives and managers who use AI for sales can see the salespeople likely to bring returns and other promising deals. A big part of sales reps’ daily conundrum is trying to judge what they should do next.

This can help them identify opportunities and understand customer needs in order to personalize their interactions and close more deals. Simply put, AI can take sales reps out of the mundane data entry and analysis tasks, and free them up to focus on more high-value activities like relationship building and strategy. Additionally, machine learning can help sales teams identify patterns and trends in customer data that would be otherwise difficult to spot.

Salesforce research shows the average sales rep spends just 28% of their time selling. The rest of their on-the-clock hours are spent on data entry and deal management tasks. Some AI tools can emulate human behaviors and interact with prospects and customers in authentic ways, leading to more sales, revenue, and success for users. Once you’ve identified the areas where your sales reps need improvement, generative AI can provide insights into the best ways to tackle these issues. By generating personalized coaching plans, AI can empower you to provide tailored guidance that truly resonates with each member of your team.

Delve into practical tips for greater success rates at a call center. Besides predicting which leads are most likely to result in a sale, artificial intelligence can also forecast pretty much any outcome your agents may be interested in. Watch our webinar to uncover how to integrate GenAI for improved productivity and decisions. Well, we are glad you asked because today, we’d like to dive into the subject of artificial intelligence in sales and discuss some of its most common use cases within this revenue-generating department. According to Yuri, one of the key trends that has been influencing sales organizations is artificial intelligence, and it has become more imperative than ever to leverage it for efficient operations.

This information can then be used to provide targeted coaching and feedback, helping your sales reps refine their approach and improve their overall performance. Generative AI can generate personalized call scripts for discovery and demo calls based on a sales rep’s unique selling style and the prospect’s specific needs. This can ensure that your sales reps are always equipped with the right talking points to guide their conversations with potential customers. Gong.io is a conversation analytics and salesforce training tool that uses sales AI to analyze sales calls and meetings, providing insights and coaching to sales teams. Advanced sales AI technologies such as natural language processing (NLP) and generative AI create significant opportunities to improve sales efficiency and customer engagement.

• Last, but certainly not least, AI for sales will make your current sales operations more successful and help you close more deals.
• In this way, AI can help reduce decision fatigue and increase sales productivity.
• A Hubspot survey found that 61% of sales teams that exceeded their revenue goals leveraged automation in their sales processes.
• AI may not be able to convert a prospect on an hour-long call just yet — but it can take other tasks off your sales reps’ plates, so that they can focus on what they do best.
• Still, there are clear benefits to a well-executed personalization strategy.
• But AI and machine learning models don’t just produce new outputs — they’re specifically trained so that they continually improve their results.

By using AI, businesses can improve their chances of converting leads into customers and retaining customers over the long term. While AI may be new to the sales space, it’s quickly transforming what teams today are capable of. AI may not be able to convert a prospect on an hour-long call just yet — but it can take other tasks off your sales reps’ plates, so that they can focus on what they do best. Of course, SDRs and sales reps may modify their approaches based on their past experiences and the customer persona they’re pitching. But, far too often, these choices are based solely on hunches, which can be wrong. AI apps make decisions based solely on data, which is far more likely to lead to successful results.

Teach every rep to sell like the best rep. Ramp up new hires fast by sharing successful sales calls and circulating best-in-class techniques across the team. Chatbots are generally used for customer service and lead generation, but they can also serve as a mechanism for direct selling if a customer is ready to make a purchase decision. AI in sales improves performance for SDRs, their managers, and the company’s bottom line.

Drive forecast accuracy, grow pipeline, and optimize revenue with Sales Cloud and Tableau insights. Once you’ve decided on a tool to move forward with, it’s time to implement it. Managers also identify trends in performance and can incorporate this data into their strategy. The most immediate benefit falls onto the seller, who can use AI to sell more, have more accurate data, and be more effective during sales engagements. Customers expect personalized content to a greater extent as they progress through the purchase journey.

strategies for creating a strong sales AI strategy

Allowing automation to take over is the key to uncovering revelations like these in the future. Nearly 62% of top sales pros say that this kind of guided-selling will become essential moving forward. Most sales groups rely on guesswork, buoyed by rudimentary data-clustering, to map out their strongest prospects. Products like Yesware and Mixmax ensure inbox data finds its way into the corporate customer relationship management system.

If your company hasn’t yet embraced AI, it’s time to have a re-think. As you’ve seen, there is no one way of using artificial intelligence in your sales processes. Odds are you’re already doing so with one or more tools in your sales tech stack. With Trender.ai, any sales professionals can automate the process of finding top leads across the social web by giving the tool’s AI your ICP.

Data scientists analyze data to find patterns and insights that can be used to improve sales performance. AI can do this by analyzing purchasing patterns, historical prices, and competitor behavior to identify the right price point for each product or service. Additionally, AI can help sales teams stay ahead of any changes in the market that could impact pricing decisions.

As adoption accelerates, sales enablement leaders can drive responsible use of the technology to help achieve better sales outcomes. A key success factor will be to develop enablement programs based on use cases relevant to sellers’ roles as revenue generators. Implementing AI empowers sales teams to work more efficiently, personalize interactions, and drive revenue growth. But as technology keeps advancing, businesses will only find even more uses for artificial intelligence. Here are some of the other ways businesses are currently using AI to cut down on repetitive tasks and make their workdays more productive.