Do You know how to use AI for Your Business?
Many people, from small to midsize business owners, to non-technical professionals, to executives, are confused or uncertain about how to use AI effectively in their business. Key points from surveys and industry insights show:
1. High Interest, Low Clarity
Many business leaders believe AI has great potential but don’t know where to start. They’re excited by the possibilities (e.g. automation, personalization, data analysis), but unclear about how to apply AI to their specific needs.
2. Fear of Falling Behind
There's a growing sense of urgency. About 60–70% of executives in recent polls worry that failing to adopt AI in their business will leave them at a competitive disadvantage.
3. Skepticism Around Practicality
A fair number think AI is still "too technical" or “only for big tech.” They're unsure if it will bring real ROI or just add complexity and cost.
4. Common Misconceptions
Many assume AI is about building robots or needing data scientists, when in reality, tools like chatbots, intelligent automation, and predictive analytics are very accessible now—even to non-tech users.
What most people think of AI in Business
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1. Customer Support – Chatbots & Virtual Assistants
Company: Amtrak
What they did: Integrated an AI chatbot ("Julie") on their website to answer common questions.
Results: 25% increase in bookings and saved $1 million in customer service costs.
More: Amtrak is also deploying advanced inspection gateways across their Northeast Corridor. AI algorithms running locally on NVIDIA GPUs analyze the images on-site. If a mechanical flaw is detected, alerts are sent in under a minute—no cloud delay, no bandwidth risk. This is Edge AI in action.
2. Retail – Personalized Recommendations
Company: Sephora
What they did: Used AI to power product recommendations based on customer behavior, preferences, and reviews.
Results: Higher customer engagement and increased online sales
3. Supply Chain Optimization
Company: Amazon
What they did: Applied machine learning to forecast product demand, optimize routes, and automate warehouse operations with robots.
Results: Massive cost savings and faster delivery times
4. Healthcare – Diagnosing & Predictive Analytics
Company: Mayo Clinic
What they did: Used AI models to predict patient risks and assist radiologists with diagnostics.
Results: Faster diagnosis for better patient outcomes.
Dr. Bradley Erickson, director of Mayo Clinic's AI Lab, says in the case of radiology, machine learning is used to complete some of the more time-consuming work. "It's actually doing a lot of the more mundane work like tracing tumors and tracing structures. Measuring the amount of fat and muscle in body CTs is another example," says Dr. Erickson. "If a computer can do that first pass, that can help us a lot."
5. Marketing – Campaign Optimization
Company: Coca-Cola
What they did: Leveraged AI to analyze customer sentiment on social media and optimize ad targeting.
Results: More effective campaigns with real-time adjustments.
Quotes from Javier Meza, President, Marketing & Europe CMO at The Coca-Cola Company“This is for me like the 90s when the internet was just arriving. What is this internet? What is it going to be? How are we going to use that? Then today, the internet is like oxygen” “I don’t to read 20 pages of reports anymore. I usually use Gen AI to do the one-page summary. Or to send information to colleagues, I use Gen AI a lot”
6. Human Resources – Hiring & Onboarding
Company: Unilever
What they did: Used AI-driven games and video analysis in the first stages of hiring.
Results: Reduced time-to-hire by 75% and improved diversity in candidate selection.
MORE:
•Unilever’s new AI-powered customer connectivity model for collaborative planning, forecasting and replenishment is capable of running more than 13 billion computations per day
•Centered on serving customers, the initial pilot with Walmart in Mexico has increased product availability at point of sale to 98%
•The model is now being rolled out across 30 key customers globally, starting in the UK and US with further expansion planned
7. Finance – Fraud Detection
Company: Mastercard
What they did: Implemented AI models that detect unusual transactions in real-time.
Results: Improved fraud prevention and customer trust.
•Doubling the detection rate of compromised cards
•Reducing false positives during the detection of fraudulent transactions against potentially compromised cards by up to 200%
•Increasing the speed of identifying merchants at-risk from - or compromised by - fraudsters by 300%.
As you can see, the possibilities are endless.
Check out these examples of AI in Business
Small and midsize businesses (SMBs) are increasingly adopting AI in practical, budget-conscious ways to improve efficiency, customer engagement, and decision-making.
The most common uses of AI among SMBs today:
1. Automation of Repetitive Tasks
• Email marketing: Tools like Mailchimp or Constant Contact use AI to personalize subject lines and send times.
• Customer service: Chatbots (e.g., from Tidio, Intercom, Zendesk) handle FAQs or direct queries 24/7.
•Invoicing & bookkeeping: AI features in tools like QuickBooks or Xero automate expense categorization and fraud detection.
2. Predictive Analytics & Business Insights
• Sales forecasting: AI tools analyze past data to predict future trends.
• Inventory optimization: Especially in retail and e-commerce, AI helps forecast demand and reduce overstock/understock.
7 Examples of AI from Companies You Know
SMB COMPANIES
QCM Technologies LLC
www.qcmtech.com
Scottsdale, Arizona • Est. 2001
A Pinnacle Company
