Artificial intelligence is as adaptable as it is ubiquitous, and the breadth of AI applications in business is vast. Business owners are using it to automate back-office tasks, personalize storefront experiences, and mitigate fraud, among other applications.
Businesses that apply AI are reaping the benefits. Already, 38% of companies reported improved cost metrics from using AI, and 36% reported improved profitability, according to McKinsey. Meanwhile, Shopify’s November 2025 store owner survey* found that businesses using AI reported reduced marketing costs and a 9% stronger brand reputation.
Here are practical ways to apply AI in your business, plus top tool recommendations.
10 applications of artificial intelligence in business
- Customer service chatbots
- Content generation and research
- Inventory management
- Product recommendations
- Fraud detection
- Predictive analytics for marketing
- Supply chain optimization
- Automated quality control
- Price optimization
- Human resources and hiring
The possibilities for integrating AI apps into your business are vast, ranging in complexity from basic add-ons to agentic AI capable of executing complex tasks on its own. Integrations are often powered by plug-and-play APIs—a set of protocols that let different apps communicate with one another.
Here are 10 essential applications:
1. Customer service chatbots
AI-powered customer service chatbots have become essential for ecommerce businesses looking to scale support efficiently without adding headcount. The best AI chatbots use advanced natural language processing (NLP) to understand customer inquiries and deliver nuanced responses. Intent recognition and sentiment detection trigger a handoff to human agents when cases are too complex for the bot to resolve on its own.
Using AI chatbots effectively can improve customer experience. In fact, 61% of consumers surveyed said they would prefer to receive an instant AI response rather than wait to speak to a human agent.
AI-powered customer support also drives sales. For example, Underoutfit, an intimates brand, deployed an AI concierge that helps shoppers navigate sizing questions. The business earned an 8% lift in conversions and a 7% increase in average order value by integrating the chatbot via Rep AI.
AI-powered chatbots to try include:
2. Content generation and research
Businesses use AI content creation tools to scale content production across product descriptions, social media posts, blogs, and internal communications. Some brands do this by feeding an AI model their strongest existing copy. Sean Frank, CEO of men’s wallet brand Ridge, built a copywriting bot using the AI assistant Claude.
“You put all of your favorite copy you’ve ever written, all of your best performing emails,” he says on the Shopify Masters podcast. “You go into Claude, make a custom GPT, make a project, and you can start getting all of your copy written by AI.”
Try content-generation tools like:
- Shopify Magic
- Jasper AI
- ChatGPT
3. Inventory management
AI inventory management is the practice of using artificial intelligence to help manage the flow of goods along a business’s supply chain.
AI systems leverage neural networks, machine learning models that use neuron-like nodes to process data and make decisions. They can analyze historical sales, seasonal trends, supplier relationships, and external factors such as weather and market conditions. According to recent scholarship, the systems can predict demand more accurately than traditional methods when equipped with the right guardrails.
Doe Beauty, for example, uses Shopify Flow and integrated automation tools to automate 80% of its business tasks, including forecasting alerts.
Founder Jason Wong says AI tools have helped Doe’s six-person team focus on creative work over tedious tasks: “We’ve seen our operations run smoother.”
This level of automation allows owners to streamline personnel, says Sean Frank of Ridge: “We used to have three people in the inventory team; now I have one inventory director who does all of our planning and buying—because of AI."
Ecommerce businesses can prevent stockouts and overstocking with AI-powered tools like:
- Shopify Sidekick
- Cin7
- Zoho Inventory
4. Product recommendations
Sixty-seven percent of Gen Z and 66% of millennials want hyperpersonalized product recommendations, making AI-driven recommendations a baseline expectation for a significant segment of shoppers. AI uses machine learning models to analyze customer behavior, purchase history, and browsing patterns, to deliver these personalized product recommendations at key moments in the buyer journey.
Consider Shock Surplus, an auto parts retailer that uses an AI-powered fitment tool to filter its entire catalog and show customers only products compatible with their specific vehicle.
“By tailoring the experience to each customer’s vehicle, we enhance satisfaction and minimize incorrect purchases,” says founder Sean Reyes.
Small ecommerce businesses can enable personalization with accessible tools like:
5. Fraud detection
AI-powered fraud detection systems help protect sensitive data across industries—from finance to health care to ecommerce—by analyzing transaction patterns and user behavior and using multiple data sources to detect fraudulent or suspicious activities in real time. The US Department of the Treasury credited AI fraud detection with preventing and recovering more than $4 billion in fraud losses in 2024.
In practice, this might look like an AI system flagging an order in which the shipping address doesn’t match the billing address or the device location. These systems can flag high-risk orders for merchants without disrupting legitimate customer purchases.
Consider these apps for AI-driven protection for both you and your customers:
- NoFraud
- Signifyd
- Chargeflow
6. Predictive analytics for marketing
AI lets you go beyond reactive marketing to predictive strategies based on customer data analysis. AI predictive analytics systems can forecast customer lifetime value, predict churn risk, and identify the best times and channels for marketing campaigns. For example, Every Man Jackuses Klaviyo’s AI to segment customers by predicted lifetime value and to personalize email timing. The men’s grooming brand drove 12.4% of its revenue through predictive analytics alone.
However, there is a challenge when using predictive analytics for marketing: It works best on large datasets. New businesses may need a significant volume of data before seeing reliable predictions. Klaviyo, for instance, only provides predictive analytics for stores with 180 days of order history and at least 500 customers.
For ecommerce business owners, turn marketing into a science with AI-powered data analysis using tools like:
7. Supply chain optimization
You can use AI to optimize supply chain management in multiple ways, including:
- Demand forecasting. Predict customer needs and inventory requirements using historical data and real-time, actionable insights.
- Route optimization. Identify the most efficient delivery and transportation paths.
- Supplier management. Assess supplier performance and support better vendor selection.
- Automated negotiations. Use AI agents to handle transportation rate discussions automatically.
- Alternative supplier sourcing. Find backup vendors when primary suppliers are unavailable.
Platforms like Shopify build AI directly into the admin, so small business owners get supply chain support without having to build their own systems. Shopify Sidekick answers stock questions in plain language and can flag items that need attention on request. Shopify Flow can automate follow-through tasks, such as reordering a bestselling SKU when stock dips below a set threshold.
Ecommerce store owners can also layer on a dedicated app to manage their growing supply chains with AI-powered apps such as:
8. Automated quality control
Computer vision and machine learning enable automated quality control systems that can identify defects, inconsistencies, and other issues more accurately than manual inspection. Paired with tools such as infrared cameras and other visual inspection equipment, AI can help maintain quality across everything from manufacturing to food production.
For a merchant selling print-on-demand products, for example, computer vision can automatically catch a misaligned graphic before an order ships, flagging it for review without requiring a person to inspect every item manually.
Computer-vision tools include:
9. Price optimization
To suggest optimal pricing strategies, AI-powered systems can analyze:
- Competitor prices
- Demand patterns
- Inventory levels
- Market conditions
These analyses can recommend price changes to maximize revenue and competitiveness or help you adjust prices dynamically. In practice, a merchant selling seasonal goods might use dynamic pricing to lower prices on slow-moving inventory.
Tools that can help maximize profit margins and maintain competitive prices include:
- Prisync
- Dynamic Pricing AI
10. Human resources and hiring
AI applications in human resources can help store owners streamline recruitment, analyze employee sentiment, and predict staffing needs for growing ecommerce businesses. Predictive models can forecast staffing needs based on business growth patterns. Once a hire is made, AI chatbots can also handle onboarding, answering employee questions, and guiding new staff through training.
Note, however, that AI has enabled hiring discrimination, a symptom of the systemic and institutional bias baked into its training data. Use hiring and HR AI tools with caution and always pair them with thoughtful, human oversight.
Tools to try include:
- Textio to generate job descriptions
- Paradox to screen résumés for relevant qualifications
- HireVue to conduct initial video screenings
- BambooHR for sentiment analysis to help identify employee satisfaction issues before they lead to turnover
Applications of AI in business FAQ
What is the application of AI in business?
You can use AI solutions to optimize various aspects of your business, including inventory management, customer service, and marketing.
How can AI be used in business?
You can use AI in nearly every facet of your business operations. Applications include automating repetitive business processes, improving customer satisfaction through service chatbots, optimizing inventory and pricing, detecting fraud, generating content, and providing data-driven insights for strategic planning.
What is an artificial intelligence application for business strategy?
AI applications for business strategy include predictive analytics for market forecasting, customer behavior analysis for product development, and optimization of marketing campaigns and resource allocation.
How can AI improve the customer experience?
You can use AI to improve customer experience through personalized product recommendations, faster customer service response times, predictive support that anticipates needs, and customized marketing that delivers relevant content and offers.
*Based on a 2025 survey of 500 Shopify merchants conducted in English across Australia, Canada, the United Kingdom, Ireland, New Zealand, and the United States. Respondents were established merchants with two or more years on the platform. Results reflect the experiences of this specific sample and may not be representative of all merchants.
