AI for Business: The Big Secret to Increased Profits and Performance

By Margaret Concannon | June 20, 2023
Margaret is the Content Marketing Manager at Ntiva, and has been a marketer for managed services providers since 2013.

AI is like a personal assistant for businesses, freeing up valuable time so that people can focus on what really matters.

By automating tasks and streamlining processes, AI tools are the ultimate sidekick to help companies make data-driven decisions and achieve their goals - regardless of the industry they're in.

When AI enters the enterprise, the benefits are endless! From automation and data analytics to natural language processing, companies can finally take a deep breath and relax knowing their processes will be optimized to the max.

Discover the ways that AI is making businesses better, more profitable, and how to implement it in your organization!

Is your business ready to harness the power of AI?
Reach out to us about our AI consulting services!

Table of Contents:

Related Reading: How Will AI Affect Cybersecurity in 2023? 

Business AI Benefit #1: Predictive Analytics

Predictive analytics is like a crystal ball that can predict future outcomes based on historical data.

It's super helpful for solving a myriad of business problems, like seizing opportunities, avoiding losses, and seeing into the future. With more and more predictive analytics software becoming available, it's easier than ever for companies to supercharge their earnings.

Here are a few examples of how businesses are leveraging predictive analytics in action:

  • Demand Forecasting: Retailers and e-commerce companies use predictive analytics to forecast future demand for products and services. Businesses can optimize inventory management, plan production, and ensure sufficient stock levels to meet customer demand by analyzing historical sales data, market trends, and external factors like seasonality and promotions.
  • Fraud Detection: Financial institutions use predictive analytics to detect fraudulent activities and minimize risk. By analyzing transaction patterns, historical data, and behavioral patterns, predictive models can identify suspicious transactions or behaviors in real time, enabling proactive fraud prevention measures.
  • Personalized Marketing: Predictive analytics helps businesses deliver targeted and personalized marketing campaigns. By analyzing customer data, including browsing behavior, purchase history, demographics, and preferences, businesses can segment their customer base and create tailored marketing messages, offers, and recommendations, increasing the effectiveness of their marketing efforts.
  • Healthcare PredictionsPredictive analytics is used to identify patients at risk of certain conditions or diseases. By analyzing patient data, medical history, lifestyle factors, and genetic information, predictive models can identify individuals susceptible to specific health issues, allowing healthcare providers to intervene early and provide targeted preventive care.

One thing to keep in mind; before diving into predictive analytics, it's important to know what you actually want to achieve. Otherwise, you'll be like a ship without a compass - lost and going in circles.

So, make sure you set clear goals and benchmarks that you can measure your progress against. And don't forget to celebrate those successes - you deserve it!

Related Reading: Introduction to Microsoft Copilot for 365

Business AI Benefit #2: Automated Customer Service

Let's face it, waiting on hold for hours and being transferred from one agent to another without getting a solution to your problem is enough to make anyone lose their cool.

So, businesses are turning to AI process automation to handle those repetitive, basic customer tasks and cut down on wait times. This not only reduces frustration for current customers but also keeps future ones happy.

Discover how businesses are leveraging automated customer service to improve response times and boost customer satisfaction:

  • Interactive Voice Response Systems: IVR systems automate phone customer interactions with pre-recorded messages and voice recognition tech, offering self-service options like order status checks, payments, and appointment scheduling, reducing response times and improving satisfaction.
  • Chatbots and Virtual Assistants: Chatbots and virtual assistants provide 24/7 support, answering customer queries, recommending products, tracking orders, and troubleshooting. They reduce wait times and enhance customer experience across websites, messaging apps, and social media platforms.
  • Automated Email Responses: Businesses use automated email response systems to provide timely and personalized replies to customer inquiries. By utilizing predefined templates and dynamic content, these systems can automatically send relevant information, acknowledge receipt of emails, or provide status updates. This ensures prompt responses, reduces manual effort, and improves customer communication.
  • Social Media Automation: Businesses leverage automation tools to manage customer interactions on social media platforms. These tools can automatically categorize and prioritize social media messages, respond to common inquiries, route complex issues to appropriate teams, and provide consistent messaging across different social channels.

Say goodbye to the days of relying solely on customer service reps, consultants, and in-house strategists for decision-making. With automation in customer support, the possibilities for automated decision-making are endless.


Business AI Benefit #3: Automated Data Collection

Say goodbye to the tedious manual processes that eat up time and resources.

With automated data collection, teams can finally focus on more important tasks that elevate productivity and revenue in the long run.

Who knew that AI could save companies over $4 million annually just by automating the collection of forms on websites? It's a simple yet incredibly efficient process that is a game-changer for businesses.

This is just one of many uses of automated data capture – and it addresses one of the main sources of business pain and inefficiency: The management of unstructured information. This data isn't easily processed or used by existing systems, and the business often suffers due to inefficient operations, weaker decision-making, and a lack of insights.

Check out these examples of how businesses are putting automated data collection to work:

  • Web Scraping: Businesses use automated data collection tools to extract relevant information from websites, such as competitor pricing, product details, customer reviews, or market trends. This data helps in market research, price optimization, and competitive analysis, enabling businesses to make informed decisions.
  • Customer Surveys and Feedback: Automated data collection tools streamline the process of collecting customer feedback through online surveys, polls, or feedback forms. This data provides insights into customer satisfaction, preferences, and areas for improvement, helping businesses enhance their products, services, and customer experiences.
  • Call Center and Customer Interactions: Automated systems capture and analyze data from customer interactions, including call recordings, chat logs, and email exchanges. This data helps businesses understand customer behavior, identify recurring issues, and optimize customer support processes for improved service delivery.
  • Financial Data and Transactions: Businesses automate the collection and processing of financial data, including invoices, receipts, and transactions. This allows for efficient bookkeeping, financial analysis, and auditing processes, improving accuracy and reducing manual effort.

Automated data collection is like having a superhero on your team, helping businesses to effortlessly gather, process, and analyze massive amounts of data with precision and ease.

CTA-BCBS System Integration


Business AI Benefit #4: Predictive Modeling

By utilizing the predictive modeling process, businesses can identify patterns or relationships in data that are essential for predicting future events.

These models, such as regression analyses, decision trees, neural networks, support vector machines, and random forests, are like superheroes in the business intelligence (BI) toolkit. They help companies identify potential risks and opportunities that can improve profits, reduce costs, and enhance customer satisfaction.

BI can even help identify at-risk customers that may churn or discontinue their relationship with the company. Now businesses can be like that friend who knows just what you need and when you need it!

With targeted retention campaigns and personalized offers, they can keep customers loyal and increase their lifetime value.

Here are some examples of how businesses are using predictive modeling tools:

  • Sales Forecasting: Businesses use predictive modeling to forecast future sales based on historical sales data, market trends, seasonality, and other relevant factors. This helps in demand planning, inventory management, and resource allocation, enabling businesses to optimize operations and maximize profitability.
  • Customer Lifetime Value (CLV) Prediction: Predictive modeling helps businesses estimate the potential value of a customer over their lifetime. Businesses can identify high-value customers by analyzing past customer behavior, purchase history, and engagement metrics and tailoring their marketing and retention strategies accordingly.
  • Risk Assessment and Underwriting: Insurance companies and financial institutions use predictive modeling to assess risk and make data-driven decisions in underwriting processes. By analyzing various factors such as demographics, credit history, and claims history, predictive models help in pricing policies accurately and managing risk effectively.
  • Demand Planning and Supply Chain Optimization: Predictive modeling enables businesses to forecast future product demand and optimize their supply chain accordingly. By considering historical sales data, market trends, seasonality, and external factors, businesses can improve their inventory management, production planning, and logistics, ensuring efficient operations and meeting customer demand.

These examples demonstrate how businesses across different industries leverage predictive modeling to make informed decisions, optimize operations, mitigate risks, and deliver personalized experiences. 

Predictive modeling functions like a "fortune teller" for businesses, allowing them to make smart decisions, streamline operations, reduce risks, and provide tailored experiences. By tapping into the potential of predictive modeling, businesses can come out on top in today's data-driven world.


Business AI Benefit #5: Natural Language Processing & ChatGPT

Natural language processing, or the ability to comprehend human speech and text, is like trying to decipher a foreign language without a translator - it's one of the trickiest parts of artificial intelligence.

However, the good news is that it doesn't have to be a case of learning a new language. There are a number of online NLP tools that can make it easy to try your hand at this field.

ChatGPT is the superstar of natural language processing tools, able to answer questions, generate creative writing, and even hold conversations.

It's like having a language expert in your pocket, using its impressive knowledge to respond to user prompts.

ChatGPT is based on large language models, which means it's constantly learning and improving its abilities. This tool, and other AI tools like it, are being used to help businesses make sense of unstructured data, such as customer support tickets, social media posts, product reviews, and online surveys.

The list of business uses for ChatGPT can seem endless, so here are just a few:

  • Content Generation: Companies are using ChatGPT to generate content for various purposes, including blog posts, social media updates, product descriptions, and email marketing campaigns. ChatGPT can assist in brainstorming ideas, providing suggestions, and even generating complete drafts, enhancing productivity and creativity.
  • Market Research: ChatGPT can engage with users to gather feedback, conduct surveys, and perform sentiment analysis. Businesses leverage this capability to gain insights into customer preferences, opinions, and market trends, enabling data-driven decision-making and product/service enhancements.
  • Personalized Recommendations: By analyzing customer data and preferences, ChatGPT can provide personalized product recommendations and suggestions. This enhances the customer experience, increases cross-selling and upselling opportunities, and boosts sales and revenue.
  • Training and Onboarding: ChatGPT is utilized for employee training and onboarding programs. It can provide interactive modules, answer common questions, and assist new employees in understanding company policies, procedures, and systems, facilitating a smooth transition into the organization.

AI-powered software solutions can work wonders for businesses by automatically processing information and providing valuable insights. This can save time and money, and ultimately improve business outcomes.

But let's not forget, just like other types of AI, ChatGPT has its quirks.😉

It may take some time to fully understand the context and underlying meaning of a question, leading to potential misunderstandings or inappropriate responses.  

So to help you get started with ChatGPT and the "science" of prompt engineering, we have created a Cheat Sheet to get those juices flowing...

MicrosoftTeams-image (16)

(Download a copy of the cheat sheet here.)


Getting Started With AI Tools is Easier Than You Think!

Many companies struggle with how to implement AI, particularly when it comes to deciding which areas of the business can benefit from it most.

According to a recent Harvard Business Review and MIT Sloan Management Review report, only 26% of respondents who used AI reported high business outcomes from their deployments. Those that got the most value from their projects were “transformers,” meaning they had many deployments and made significant changes to how they operated.

So as you dive into the world of AI, don't get caught up in gimmicks.

Focus on where you can get the most bang for your buck. Make sure your AI has the right infrastructure to capture data and work efficiently. Vet your training data carefully, and support ethical AI efforts, including diversity and inclusion initiatives.

AI is constantly improving and becoming more accessible. The possibilities for its use in business are endless. Adopting the right system can help you save money, make smarter decisions, and even boost your revenue. So, don't be afraid to take a chance on something new – it just might be the superhero your company needs!

Contact us today for more information about how Ntiva can help you implement the latest AI technologies into your business.

New call-to-action





Tags: Digital Transformation