The 10 Best AI Tools for Reaching Your Sales Goals

Finding no comfort in such non-human cooperation, they might become reluctant to deal with your team further. In fact, the role of AI in business processes is now hard to underestimate. AI, or Artificial Intelligence, refers to the simulation of human intelligence processes by computer systems. Executives or sales leaders should let their employees know that AI tools are here to assist, rather than replace people.

With the continuous refinement of AI algorithms, sales processes will become increasingly predictive. While automation can enhance efficiency, it’s essential to maintain human touchpoints in the sales process. The aim is to build a sales tech stack that leverages cutting-edge AI advancements relevant to your needs. It is key to avoid stagnating with outdated tools when better solutions emerge. A leading fashion retailer integrated an AI-driven demand forecasting tool to optimize inventory management and reduce stockouts.

More actionable information and insights

This is a glimmer of hope for businesses looking to thrive (rather than simply survive) in our turbulent economic environment. No matter which sales AI tools you use, remember that automation is the product of a human brain. And now, human soft skills can’t be overrun by artificial intelligence, machine learning, NLP (natural language processing), etc.

While implementing any AI solution, you should comply with regulations such as GDPR to ensure the privacy and security of customer data are in good hands. Your sales representatives can significantly benefit from AI-driven sales training platforms. These platforms offer personalized coaching and feedback, pinpointing specific areas where sales specialists might enhance their skills and expertise.

If you’re looking to level up your sales team’s performance, turn to artificial intelligence. Although only 37% of all sales organizations currently use AI in sales processes, more than half of high-performing sales organizations leverage AI. AI plays a vital role in streamlining the lead generation process, enabling sales teams to identify and prioritize high-quality leads efficiently. AI powers sales coaching by providing insights into sales calls, pricing strategies, and improvement opportunities. It analyzes sales conversations to identify what’s working and what isn’t. This, in turn, allows sales leaders to personalize coaching strategies and easily foster a culture of continuous learning.

AI-enabled CRM systems utilize machine learning algorithms to analyze customer data, identify patterns, and generate actionable insights. These insights can include customer preferences, purchase history, engagement patterns, and sentiment analysis. By leveraging AI in CRM, sales teams can gain a comprehensive understanding of their customers, enabling personalized interactions and more effective sales strategies.

Before diving into AI adoption, they decided to assess their existing tech infrastructure. Use AI technologies for lead generation in both inbound and outbound strategies. For example, AI chatbots can interact with website visitors, collecting lead data in real-time. AI can also track user behaviors on websites and digital platforms, discerning their preferences and intentions.

Get started with sales AI using Gong’s AI-powered sales enablement platform

One challenge when implementing AI is balancing the use of AI with human interaction. If a sales team focuses too much on AI and neglects the human element in their process, they’ll be less effective, especially in areas like relationship building. You will also need to check the results of AI to ensure they’re accurate and fit into your sales strategy. AI, specifically NLP, can analyze customer interactions via chat, email, phone, and other channels and provide insights into how the prospect felt during the interaction. As AI tools become more widely available and AI technology continues progressing, artificial intelligence significantly impacts many fields, including sales. AI tools can analyze vast amounts of data and make smart decisions, draw patterns, and make quite accurate predictions.

Exceed.ai’s sales assistant helps engage your prospects by automatically interacting with leads. Additionally, it answers questions, responds to requests, and handles objections automatically. This revolutionary approach is transforming the landscape of marketing and sales, driving greater effectiveness and customer engagement from the very start of the customer journey. New data and insights from 600+ sales pros across B2B and B2C teams on how they’re using AI.

The goal is to document repetitive and time-consuming tasks that could be optimized or automated with AI. For the cases that include crafting personalized messages, you can use ChatGPT or any other AI-powered conversational chatbots. Manually crafting highly personalized messages for each customer segment at scale is almost always a huge challenge, as it requires tons of manual effort. Specialized AI-powered tools like Dynamic Pricing AI or Imprice, in turn, can monitor dozens of competitors and hundreds of thousands of parameters and react immediately.

Using AI, sales managers can now use dashboards to visually see which salespeople are likely to hit their quotas along with which outstanding deals stand a good chance of being closed. AI enables you to quickly analyze and pull insights from large data sets about your leads, customers, sales process, and more. You can use these insights to continually improve your sales processes and techniques.

A large restaurant chain was considering implementing an AI-driven inventory management system to optimize its supply chain and reduce food wastage. For example, AI could cut lead qualification costs by 20% through automation. Conducting a detailed cost-benefit analysis is crucial in building the business case for AI investment and setting realistic expectations on ROI. This step helps you gain a clear understanding of areas that are draining time and resources unnecessarily. To understand the transformative power of AI in sales, let’s cover how to develop an AI-powered sales strategy step-by-step.

Increased efficiency and productivity

By automating lead nurturing, sales teams can efficiently engage with prospects, build stronger relationships, and move leads through the sales funnel effectively. AI-driven chatbots have become invaluable tools for providing round-the-clock customer support. These intelligent virtual assistants can understand customer inquiries, provide instant responses, and even handle complex interactions through natural language processing (NLP) capabilities. Traditional lead scoring methods often rely on manual analysis and subjective criteria. However, with AI-powered lead scoring, sales teams can leverage advanced algorithms to analyze lead data, including demographic information, online behavior, and past interactions.

This proactive approach will enable businesses to offer solutions tailored to individual customer requirements, often before the customer has even identified a need. With AI systems processing vast amounts of data, there’s an increased risk of cyberattacks and data breaches. It involves organizational alignment, training, and overcoming technical obstacles. A prominent logistics firm recognized the rapid pace at which AI technology is evolving.

It can evaluate customer relationships and alert you to those that need attention, and helps identify needs and potential solutions before a call. The algorithms will score leads and chances of closing, by analyzing customer profiles and previous interactions like email and social media posts. But many sales activities may occur outside your CRM, which means they wouldn’t show up in your CRM data… It’s important to track and measure attribution, so that you can target future efforts in the right places, and AI helps you use big data to attribute results more accurately. You can then see which campaigns and customers are most effective at driving ROI. If you believe you can benefit from AI in your business, you can view our data-driven lists of Data Science / ML / AI Platform, and AI Consultant.

• Give your sales personnel more sales time while increasing forecast accuracy.
• These recommendations are based on customer preferences, purchase history, browsing behavior, and similar profiles.
• AI-driven lead scoring and predictive analytics help identify leads with higher conversion potential, so you prioritize them in your sales funnel.
• With AI’s predictive analytics, sales teams can assess buying signals.

AI-driven tools are much more advanced in scoring and ranking leads than typical sales representatives. Artificial intelligence (AI) in sales is about using machine-driven algorithms and processes to enhance and optimize sales operations. Shortened sales cycles and faster ramp-up times, when paired with the ability to highlight patterns and behaviors that lead to more effective strategies, is a powerful recipe for success. All of these enhancements can work together to support better cost savings and revenue generation.

Integration of augmented reality (AR) and virtual reality (VR)

This adoption can boost productivity and set a precedent in the industry. AI-powered sales tools analyze vast amounts of data to refine sales forecasts, helping your salesforce anticipate market trends and customer needs. These tools uncover intricate patterns and correlations in your data that might be overlooked through traditional methods.

E-commerce platforms selling thousands of items, for instance, simply can’t be supported by human-powered dynamic pricing. Dynamic real-time pricing is highly demanding yet heavily labor-intensive and risky in terms of setting the wrong price accidentally. What’s important is that such tools can access and utilize parameters far beyond the usual set you’ve used to consider within the manual scoring.

The most important thing, no matter what type of artificial intelligence sales tool you’re considering, is to know what you want to achieve. Meanwhile, the Dialpad analytics platform offers a ton of stats, from charting call activity over time to a rep leaderboard with specific call metrics. Using AI is like having an in-house expert on hand to give tips and point you in the right direction.

Website identification tools can help businesses manage the prioritization of leads using how potential customers interact with your company’s digital properties. These tools enable you to identify leads that spend time on the company website and provide company contact information. You define the criteria of what a high-quality lead looks like and then these platforms send “trigger reports” into your sales reps’ inbox automatically. While AI can’t replace the human touch that is essential in sales, it can help salespeople with many aspects of their roles. In the last few years, the use of videos for sales outreach has spiked, with over 60% of sales professionals using video messaging in their sales process.

All these AI use cases translate to improved sales team enablement, providing them with the resources they need to enhance performance. From lead generation to segmentation, lead scoring and analytics, AI empowers your team, giving them insight that helps them to close deals, upsell, cross-sell, and more. The platform uses AI to provide real-time assistance to sales teams by connecting reps with live recommendations, scripts, and more. In addition, Dialpad provides advanced AI coaching with sentiment analysis. One of its use cases is sales (sales enablement software), as it helps sales teams achieve their revenue targets more efficiently by providing AI-powered insights. Drift is an AI-powered conversational platform that helps marketing, sales, and customer service teams deliver personalized customer experiences at scale.

AI can even help reps with post-call reporting, which is one of those essential-but-tedious tasks. My team loves the fact that Dialpad automates call notes and highlights key action items for them, meaning they don’t have to manually type everything. For example, tracking the busiest times in a call center can help you with future staffing.

You can use AI for sales attribution tracking, giving you insight into what sales and marketing efforts are more successful. AI can also help you use this data to pinpoint customers most likely to garner a desirable artificial intelligence for sales ROI. It’s important not to rely on generative AI entirely, though, as it can sometimes produce inaccurate information, and content generated solely by AI may not be ready for use with leads or customers.

AI tools are designed to help teams save time and sell more efficiently. To leverage AI effectively in sales, it is crucial to define clear goals, select the right AI solutions, train and educate sales teams, and continuously monitor and optimize AI performance. By following these best practices, organizations can maximize the benefits of AI and drive significant improvements in their sales outcomes. By following these best practices, organizations can successfully leverage artificial intelligence in sales and drive significant improvements in productivity, customer satisfaction, and revenue growth. Integrating AI seamlessly with existing sales systems and processes can be a complex task.

Investing in proper training and education for sales teams is essential to enable them to effectively leverage AI technologies. Provide comprehensive training on AI tools and processes, highlighting their benefits and demonstrating real-life use cases. Help sales professionals understand how AI can enhance their workflows, improve customer interactions, and drive sales performance. Continuous learning and upskilling programs will ensure that sales teams stay updated with the latest AI advancements.

AI can arm reps with the knowledge they need to meet these expectations. Monthly hand-picked discoveries and stories of thriving in a new world of sales marketing. Let’s focus on the role of AI in sales to find opportunities for your business. Otherwise, they’ll avoid these tools in the first place, resulting in missed opportunities for efficiency and growth. According to a report by Goldman Sachs, AI could replace nearly 300 million full-time jobs.

However, leveraging artificial intelligence allows you to significantly reduce the probability of inaccuracies in your sales team. Another example of an AI-powered conversation intelligence tool is Chorus. This platform leverages artificial intelligence to recognize the context within a conversation, identify key moments within sales calls, and even note competitor mentions. A study by The Hinge Research Institute found that high-growth companies are more likely to have mature marketing and sales automation strategies than their peers. Implementing artificial intelligence in sales involves the collection, storage, and analysis of large amounts of customer data.

The State of Artificial Intelligence Report

Chatbots provide instant responses to leads and customers, helping to qualify leads and move them through the sales process. These tools can answer customer questions, gather lead and customer data, and recommend products. People.ai also offers a feature called PeopleGlass, which simplifies CRM management.

By introducing AI tools, you may encounter concerns and fear among employees regarding their job security. Exceed.ai’s sales assistant also does a great job at nurturing and following up with prospects to guide them down the funnel. From IP infringement to data privacy and security, there are a number of issues that require thoughtful Chat PG mitigation strategies and governance. The need for human oversight and accountability is clear, and may require the creation of new roles and capabilities to fully capitalize on opportunities ahead. Our research found that 90 percent of commercial leaders expect to utilize gen AI solutions “often” over the next two years.

But its capabilities go even further to help make your reps more productive. Instead of simply sending reminders to send an email follow-up, it will automatically draft the email. Top performers were three times more likely to say their onboarding was good or excellent compared to poor performers. AI can close this gap by identifying areas of improvement and providing personalized recommendations for each rep. But it helps your team focus their efforts on opportunities that are more likely to convert.

Generate Emails

Artificial intelligence empowers sales teams with advanced forecasting and analytics capabilities, enabling data-driven decision making and improved sales performance. AI tools monitor competitors’ online presence on platforms like LinkedIn, proactively gathering information about market movements. They can provide updates on competitors’ activities, including product launches, pricing changes, and marketing campaigns. With this information, sales leaders and decision-makers can adapt their strategies accordingly to seize opportunities and mitigate potential threats. AI enhances lead scoring by evaluating and prioritizing prospects based on their conversation quality, behaviors, and historical data.

Also, don’t forget to check out our sortable/filterable list of sales intelligence software vendors. Now that you know about AI applications in sales, you can read more about these applications in our section on AI in sales. AI allows automatic and accurate sales forecasts based on all customer contacts and previous sales outcomes. Give your sales personnel more sales time while increasing forecast accuracy. You can foun additiona information about ai customer service and artificial intelligence and NLP. For more information on AI-powered demand forecasting, feel free to check our article. Some sales AI tools offer the ability to determine ideal pricing for a given customer.

Consider Aviso, an AI-driven forecasting solution, to understand how this works. Gong doesn’t just show you which deals are at risk; it also recommends specific actions that you should take to keep the momentum going. But even as lockdowns have eased, 70% https://chat.openai.com/ to 80% of B2B decision-makers say they prefer remote human interactions. Instead of trying to upsell or cross-sell to every client, AI can help you identify who’s most likely to be receptive by looking at previous interactions and profiles for insight.

But AI can handle it with even a lower risk level than experienced sales reps can achieve. This insight allows the companies to tailor their marketing campaigns to highlight this feature in those specific regions. Tech companies selling smart home devices can use AI to analyze customer reviews and feedback. In the last chapter of the guide, let me share some recommendations on how to use artificial intelligence for sales to your best advantage.

You need a centralized sales automation or CRM platform that would either include all the AI features you want or integrate well with AI-powered solutions. Considering all these risks and limitations of sales AI software, let’s take a look at how you can leverage AI for your sales process smartly. The use of AI for sales often involves gathering and processing large amounts of data.

The tools you choose will depend on which aspect of the sales process you need to optimize or automate. Artificial intelligence and automation have been proven to be great revenue drivers. A Hubspot survey found that 61% of sales teams that exceeded their revenue goals leveraged automation in their sales processes. AI in sales uses artificial intelligence to simplify and optimize sales processes. This is done using software tools that house trainable algorithms that process large datasets.

In the realm of sales, AI is being leveraged to streamline processes, improve customer interactions, and drive revenue growth. First, our Forecasting Software helps sales teams accurately forecast future revenue and monitor their pipelines. Secondly, our Predictive Lead Scoring feature helps sales reps identify the highest quality leads in their pipelines by taking thousands of data points and custom scoring criteria as input. To successfully implement AI in sales, organizations need to ensure proper adoption and training of AI solutions among their sales teams. Resistance to change, lack of awareness, and fear of job displacement can hinder adoption. Voice-enabled interfaces will play a significant role in sales interactions.

It helps reps quickly determine which deals have a higher chance of closing. 84% of marketers worldwide report using AI in their marketing strategies. Use cases include analyzing large amounts of data for insights and delivering personalized customer experiences.