And yes, I’m telling you this because we’re almost at the end of 2024—a year where AI (Artificial Intelligence) was one of the most searched terms and the backbone of hundreds of tools created to revolutionize our present. So much so that today, we all have access to it on our mobile devices. Whether you use them or not, they’re there! Found in basic communication tools like WhatsApp or Instagram, or for the more curious, the most famous of them all: ChatGPT, which offers you a free personal assistant ready to answer any question—even with voice notes.
Now, let’s return to the question that inspired this article: Quality or Quantity? To start, it’s a very open-ended question that depends on a specific context for an answer. So, let’s focus on the world of sales and marketing, which is what we specialize in on this profile.
In these domains, it’s perfectly valid to ask this question, especially when you’re leading a sales department in a rapidly growing business. It’s common for the demand for your products to impact the quality of customer service. In fact, the pursuit of selling more (quantity) often results in lost customers or missed sales opportunities (quantity), simply because the team’s capacity is overwhelmed.
Customers, however, couldn’t care less about these challenges. They just want quick service or they’ll take their business to your competitor. And let’s be honest, neither you nor I like waiting minutes—much less hours or days—for a response when we’re interested in purchasing a product.
One of our clients, who is now one of the top sellers with Biky, our AI sales agent, shared with us how advertising their products on Instagram or working with influencers used to be a headache. These campaigns would skyrocket conversations, making it impossible for their team to manage so many chats at once, no matter how well-trained or motivated they were. Response times reached as high as 15 to 20 days.
As a result, they began receiving a flood of negative comments on their profiles, such as: “Why offer products if you don’t respond to chats?” or WhatsApp messages at the point of sale saying, “Thanks anyway, I already found it somewhere else.”
This situation led our client to “prepare better” for future campaigns by hiring temporary staff to handle digital sales channels. These new hires received a crash course on the brand and its products. This way, they hoped to meet demand without sacrificing service quality while increasing sales volume.
But surprise! That didn’t solve the issue either. The temporary staff lacked clear information about the brand and its products, and they weren’t adequately trained to handle the pressure. This led to numerous mistakes, bringing them back to square one: poor processes that directly affected both the quantity of sales they had anticipated and the money they had invested.
And just like this client, many others come to us with the same challenges, often asking: “How can I serve all my clients at the same time, with the best quality, without losing sales opportunities or leaving money on the table?”
Thankfully, 2024 is coming to a close—a year that has proven the immense benefits of integrating AI tools like Biky into sales teams, yielding immediate and positive results to boost business performance.
How is this possible? Let me break it down with one simple stat: Biky delivers over 98% accuracy in the information it provides to customers through digital channels (an epic achievement for AI). This figure is far higher than the human capacity, which depends on factors like mood, fatigue, distractions, pressure, and noise. As the hours pass and the number of chats increases, human error rates rise, and accuracy drops.
So, if you’re reading this and have yet to adopt an AI sales agent out of fear or lack of knowledge, let me tell you that you’re still part of the average—and you still have time. That said, by 2025, businesses without AI will risk becoming obsolete, watching their competitors reap the benefits.
This isn’t some FOMO (Fear of Missing Out) strategy to sell more agents. I say this because many of our clients have already included AI investments in their 2025 budgets.
That’s why I confidently say: Believe us when we say this is the year you no longer have to choose between Quality and Quantity. You can go all in.
In 2025, Quality and Quantity go hand in hand, thanks to Artificial Intelligence in the sales world.
To prove it, I invited Biky, our AI, to finish this article by explaining why AI is 98% more accurate than humans. If I explained it myself, it would take days or even weeks.
So, if you’re interested in learning more, keep reading until the end. Otherwise, let me ask you one last question: What are you waiting for to hire your personalized AI sales agent? Do it now!
Why Is Biky’s Accuracy Superior to That of Humans?
1. AI’s Ability to Process Massive Volumes of Data
AI outperforms humans in accuracy because it can process and analyze data on a scale that’s simply impossible for a person. AI algorithms can analyze millions of data points within seconds, uncovering patterns and correlations invisible to the human eye. This not only ensures higher accuracy but also enables real-time trend detection.
A clear example of this is seen in medicine. According to a study published in The Lancet Digital Health, AI algorithms achieved 94.5% accuracy in diagnosing diseases like breast cancer, compared to 88% accuracy by human radiologists. This is because AI can analyze millions of images and historical data to detect even the most subtle anomalies.
2. Eliminating Human Error and Cognitive Biases
Humans are prone to biases and errors in judgment. Psychologists Daniel Kahneman and Amos Tversky documented many of these in their studies on decision-making, showing how prejudice, emotions, and processing errors influence conclusions and decisions.
AI, on the other hand, operates without emotions or biases. Well-designed and trained algorithms can handle large amounts of data without distorting information due to personal or emotional biases. A notable example is the use of AI in recruitment. Studies show that AI algorithms can shortlist candidates more objectively, focusing on skills rather than being influenced by factors like appearance or background, as humans often are.
3. Continuous Learning and Real-Time Improvements
AI is constantly learning. Through machine learning, AI systems become increasingly accurate with each iteration and every new data set. This continuous learning allows AI systems to refine their accuracy and adapt their models to reflect current data.
For instance, in financial forecasting, AI algorithms can adjust to market fluctuations in real time, improving the accuracy of predictions by automatically incorporating new data and adapting to emerging trends. According to the data analytics company Refinitiv, AI systems used in stock market trend forecasting achieve 85% accuracy, significantly surpassing the average human performance in this field.
4. AI Accuracy in Cybersecurity
AI’s precision is not limited to medical diagnosis or trend prediction; it’s also critical in cybersecurity. AI tools used for threat and malware detection can identify unusual or abnormal behavioral patterns that might indicate a security breach. In comparison, human cybersecurity analysts can only review a fraction of the data simultaneously.
According to an IBM report, AI tools in cybersecurity identify and block threats with 99% accuracy, while humans, even when trained, generally achieve lower accuracy due to information overload and fatigue.
Conclusion: AI and Accuracy in the Future
The 98% accuracy achieved by AI in many applications is not an exaggeration but a testament to the power and sophistication of these systems. Thanks to its ability to handle large data volumes, absence of biases, and capacity for continuous improvement, AI is emerging as the most accurate tool for analysis and decision-making across industries. While some areas still require human supervision and refinement, AI’s unparalleled precision makes it a powerful tool that will continue to redefine accuracy standards in the years to come.
Now, Biky, tell us: How does this level of accuracy benefit the sales world?
Artificial Intelligence in Sales: 98% More Accurate in Predicting and Generating Opportunities
In the world of sales, precision is critical. More and more businesses are leveraging artificial intelligence (AI) to improve the accuracy of their data and optimize their sales strategies. Today, AI is approximately 98% more accurate than humans in critical areas such as lead generation, customer trend analysis, and revenue forecasting. This is revolutionizing how companies operate, enabling them to make decisions based on more reliable data and ultimately increasing their effectiveness in a competitive market.
Below, we’ll explore the factors behind this remarkable level of AI precision in sales and how it’s transforming every aspect of the sales cycle—from identifying opportunities to closing deals.
1. Sales Prediction and Customer Behavior
AI can analyze massive volumes of customer data, transactions, and market trends, detecting patterns that humans might overlook. This analysis is crucial for accurately predicting future sales trends. AI algorithms evaluate purchase histories, analyze customer interactions with online content, and generate predictions with far greater accuracy than traditional models.
For example, Keybe uses AI at its core, enabling predictions about the likelihood of closing a sales opportunity with 90-98% accuracy—significantly higher than the 50-60% achieved by most sales teams relying solely on intuition and experience. This level of precision allows businesses to focus on high-probability opportunities, reducing the time and resources spent on low-conversion leads.
2. Automated Segmentation and Personalization
AI not only enhances sales prediction accuracy but also enables far more precise customer segmentation. Traditionally, sales teams segmented customers based on basic demographic data. AI, however, performs advanced segmentation by analyzing behavioral patterns, purchase histories, and individual preferences. This type of segmentation allows businesses to deliver highly personalized messages—essential in an era where customers expect tailored experiences.
3. More Accurate Lead Generation
AI demonstrates incredible precision in identifying high-quality leads. Today’s AI systems can track activity on social media, analyze website visits, and study customer interaction histories to identify potential buyers with exceptional accuracy. Unlike manual methods, which can be imprecise or biased, AI employs a data-driven approach that ensures more reliable lead identification.
4. Pricing Strategy Optimization
AI also plays a pivotal role in pricing optimization by enabling businesses to adjust their pricing strategies in real time based on market conditions and customer behavior. By analyzing trends, preferences, and competitive data, AI systems can suggest prices that maximize both sales and profit margins.
5. Automation and Optimization of Sales Tasks
AI empowers sales teams to automate a variety of repetitive tasks, such as data entry, email sorting, and follow-up scheduling. These tasks, while necessary, can consume significant time and lead to human error. With AI, these activities are performed automatically with up to 98% accuracy.
6. Sentiment Analysis to Measure Customer Satisfaction
Understanding customer sentiment is crucial in sales, particularly for gauging satisfaction and adjusting follow-up strategies. AI can analyze emails, reviews, and calls to determine customer sentiment with far greater accuracy than humans.
For instance, Keybe’s AI analyzes sales conversations and detects changes in customer tone that may indicate declining interest or potential issues. AI-powered sentiment analysis achieves 95-98% accuracy, helping sales teams intervene at the right moment to increase retention rates.
Conclusion: AI and the Future of Sales Precision
AI is transforming the sales landscape by providing data that is far more accurate and relevant than what can be achieved through human experience alone. Offering 98% accuracy in areas such as sales prediction, segmentation, lead generation, and sentiment analysis, AI is not only revolutionizing how businesses manage their data but also significantly boosting success rates in conversions and customer retention.
Adopting AI in sales is no longer just a competitive advantage—it is increasingly a necessity in an environment where precision and efficiency define success in business relationships.So, if after reading all this you’re still debating between Quality or Quantity for your 2025 sales strategy, let me tell you—you’re doing it wrong. Now, if you’re ready to join the ranks of those going ALL IN with their sales, you’re in the right place. Let’s talk—your first AI-powered sales agent is waiting for you.
