Table of contents
Perihan
Content Marketing Specialists
Business
16 min read
  -  Published on:
Aug 1, 2024
  -  Updated on:
Nov 1, 2024

Chatbot Business Ideas That Work: 18 Proven Ways for 2024

Chatbots have evolved far beyond basic customer service tools—they’re now essential for driving growth, optimizing sales funnels, generating leads, and even enhancing internal operations. 

In the following, we cover 18 actionable chatbot business ideas that cater to various needs, from e-commerce and real estate to HR and education. 

What Is a Chatbot?

A chatbot is a digital program designed to have conversations with you, whether through text or voice. It uses AI and natural language processing (NLP) to understand questions and respond in real time. 

You’ll often find chatbots on websites, messaging apps, and chatbots for social media, where they help with customer service or internal support.

Here are the main types:

  • AI-Powered Chatbots: These AI chatbots learn from conversations, making them feel more natural and human-like. They’re perfect for handling complex questions, giving personalized advice, and managing many chats at once.
  • Rule-Based Chatbots: These types of chatbots follow set rules or scripts, so they’re great for simple tasks like answering FAQs, sharing product info, or basic customer requests.
  • Hybrid Chatbots: These blend AI with rules, offering a mix of personal responses and quick solutions. You’ll often see them in online shopping, healthcare, and lead generation.
  • Voice-Enabled Chatbots: These bots respond to voice commands and work with devices like Alexa or Siri. They’re popular in retail, banking, and smart homes.

Understanding these chatbot types helps you choose the right solution for your business. As you explore upcoming chatbot business ideas, consider which type best aligns with your operational needs and user expectations.

Why Are Chatbots Important for Businesses in 2024?

Here’s why chatbots hold significant value for businesses in 2024, based on recent statistics and insights.

1. Chatbots Are Widely Adopted

Chatbot adoption statistic from Capgemini
  • Consumer Interaction: According to Ipsos, 68% of consumers have used a customer service chatbot, and nearly half (49%) of U.S. adults have interacted with AI chatbots in the past year (eMarketer). 
  • Corporate Use: 36% of marketing executives report using chatbots and AI-driven customer support tools, while another 20% plan to implement them soon (Capgemini). 
  • This broad adoption shows that businesses recognize the benefits of chatbots for engaging customers, resolving issues, and improving workflows.

2. Chatbots Enhance Customer Support Efficiency

Statistics from Gartner on Chatbots Increasing Customer Support Efficiency
  • 24/7 Availability: One of the biggest advantages of chatbots is their round-the-clock service. Unlike human agents, chatbots can provide real-time support at any hour, catering to customers' questions instantly. This increases customer satisfaction by reducing waiting times.
  • Cost-Effective Support: Chatbots help businesses save on staffing costs by handling routine queries, allowing human agents to focus on complex issues. This cost-effectiveness is particularly important for small businesses aiming to maximize customer support with limited resources.
  • Resolution Rates: The effectiveness of chatbots varies by issue type—resolving up to 58% of return or cancellation inquiries but only 17% for billing disputes (Gartner). This suggests that while chatbots excel at straightforward tasks, they can struggle with more intricate issues that require human empathy or understanding.

3. Customer Sentiment Toward Chatbots Is Mixed but Improving

  • User Perception: While 34% of consumers find chatbots helpful in customer service, another 43% say there’s room for improvement (CDP). Additionally, 35% of users believe chatbots can solve problems efficiently most of the time (Ipsos). You can look at the pros and cons of AI chatbots for more information.
  • Frustration and Preferences: Despite the growing use of chatbots, 77% of adults still find them frustrating, preferring human support in complex scenarios (Ipsos). In fact, 60% would rather wait for a human agent than engage with a chatbot (Userlike). This suggests that while chatbots are valuable, businesses need to focus on enhancing their user experience and effectiveness.

4. Future Outlook for Chatbots

Garnert's statistic on the future use of chatbots
  • Increasing Dependence: Gartner predicts that by 2027, 25% of organizations will rely on chatbots as their primary customer service channel, indicating a shift toward chatbot automation. This trend aligns with the forecasted decline in traditional search engine volume, which could drop by 25% by 2026 due to increased AI chatbot usage (Gartner).
  • Role in AI Evolution: As AI becomes more sophisticated, chatbots are expected to deliver more human-like interactions, addressing many current limitations. This ongoing improvement could reshape how businesses use chatbots for various functions, from customer service to marketing and sales.

18 Chatbot Ideas for Businesses to Implement Now

Now that you understand the importance and potential of chatbots, let’s explore some practical ideas that can help your business thrive. 

1. Customer Service Chatbots

Customer service chatbots are powerful tools that help businesses manage and improve customer interactions. 

They’re designed to enhance user satisfaction, reduce operational costs, and deliver consistent service quality across various communication channels.

Let’s narrow it down a bit to specific types of customer service chatbots:

1.1 Customer Support Chatbot

Customer Support Chatbots are a specific type of customer service chatbot focused on solving customer issues, troubleshooting product or service problems, and providing technical guidance. The primary goal here is to help users resolve problems related to a product or service, often involving more in-depth assistance.

Industries: Retail, Telecom, Banking, E-commerce

Real-World Example: Lufthansa’s Customer Support Bot

Real-World Example: Lufthansa’s Customer Support Bot

Lufthansa's chatbot operates as a rule-based chatbot with clear, predefined options. Let's take a look at the capabilities of Lufthansa's chatbot Elisa:

  • Finding alternative flights if the original one gets canceled.
  • Rebooking existing flights.
  • Processing refunds or providing ticket-related information.
  • Offering general trip details, such as schedules or travel updates.
  • Guiding users to live chat with human agents when necessary, ensuring that more complex queries are handled effectively.

1.2 FAQ Chatbot

FAQ chatbots are a type of customer service bot designed to respond to commonly asked questions, such as inquiries about products, services, or company policies. 

Industries: E-commerce, Retail, Healthcare, Finance, Education

Real-World Example: Cheerble’s FAQ Chatbot:

Real-World Example: Cheerble’s FAQ Chatbot:

Cheerble, a pet product company, uses an FAQ chatbot on its website to assist customers with typical questions. Let’s break down the capabilities of Cheerble’s chatbot:

  • Providing Detailed Information: The chatbot offers specific answers, such as details on shipping costs across different regions, along with any exclusions that may apply.
  • Guiding Order Tracking: It enables users to track their orders by selecting predefined options like "Track my order," which directs them to the relevant information instantly.
  • Addressing Product Issues: If users have problems with their Cheerble products, the chatbot offers troubleshooting steps or guides them to more detailed support.
  • Routing to Human Support: When necessary, Cheerble’s chatbot directs users to live chat with human agents, ensuring complex queries are managed effectively.

1.3 Order Tracking Chatbot

Order tracking chatbots are designed to help customers monitor the status of their orders in real time, offering a seamless and transparent experience. These bots guide users through the process, providing updates and estimated delivery times. 

Industries: E-commerce, Retail, Logistics

Real-World Example: Adidas’ Order Tracking Chatbot:

Real-World Example: Adidas’ Order Tracking Chatbot:

Adidas uses an order tracking chatbot called “adiBot” to manage customer interactions related to their order status. Let’s explore how adiBot supports users:

  • Starting the Chat: The chatbot begins by prompting users to enter their first name, last name, email, and order number. This step ensures that the system can identify the order and provide accurate tracking details.
  • Order Updates: Once the necessary information is provided, adiBot offers real-time tracking updates, including current location, delivery status, and estimated arrival times.
  • Availability of Support: If users encounter issues or have additional questions, the bot informs them that human agents are available during business hours, ensuring customers know when to expect further assistance.
  • Downloadable Transcript: The chatbot allows users to download a transcript of the conversation, adding a layer of transparency and enabling customers to retain important order details.

⭐ Bonus: If you are a Shopify user, you can check out this post: How to Build a Shopify Chatbot for Tracking Orders.

2. Marketing and Sales Chatbots

Marketing and sales chatbots are digital assistants designed to drive customer engagement, generate leads, and support sales teams by guiding users through the sales funnel. 

These bots can capture visitor information, segment users based on their responses, and even initiate sales conversations.

2.1 Lead Generation Chatbot

Lead generation chatbots play a crucial role in identifying potential customers by engaging visitors, asking qualifying questions, and capturing contact details. They operate at the top of the sales funnel, serving as an automated first touchpoint for prospects.

Industries: SaaS, Real Estate, E-commerce

Real-World Example: Qualified’s Lead Generation Chatbot:

Real-World Example: Qualified’s Lead Generation Chatbot:

Qualified uses a lead generation chatbot to connect with website visitors effectively. Here’s how it works:

  • Engaging the Visitor: The chatbot starts the conversation by asking for the visitor’s business email address, ensuring the lead is valid and relevant.
  • Qualifying Leads: The chatbot asks further questions to understand the prospect's needs, segmenting them for personalized follow-up.
  • Connecting with Account Teams: Once a lead is captured, the chatbot ensures seamless handoff to the account team, facilitating the next step in the sales process.

⭐ Want to learn more about how AI chatbots can transform your lead generation efforts? Check out 10 Ways to Use AI Chatbots to Automate Lead Generation for practical strategies and tips.

2.2 Product Recommendation Chatbot

Product recommendation chatbots are designed to enhance the shopping experience by suggesting relevant products based on user preferences. 

These chatbots engage users in interactive conversations, asking questions to understand their tastes and needs, and then offering personalized product suggestions.

Industries: E-commerce, Fashion, Electronics, Beauty

⭐If you are a Shopify user, go directly to this post: Shopify Chatbot for Product Recommendations on Your Store

Real-World Example: H&M’s Product Recommendation Chatbot

Real-World Example: H&M’s Product Recommendation Chatbot

H&M uses a chatbot on the Kik messaging platform to provide personalized clothing recommendations. Let’s break down how H&M’s chatbot helps users find the right products:

  • Interactive Style Quiz: The chatbot initiates a style quiz by asking users whether they’re interested in men’s or women’s clothing. It then asks a series of either-or questions to understand user preferences.
  • Image-Based Choices: As users provide answers, the chatbot presents images of clothing options, allowing users to choose the styles they prefer.
  • Tailored Recommendations: Based on user responses, the chatbot suggests complete outfits, including details like prices and product descriptions, making it easier for customers to visualize their selections.

2.3 Shopping Assistance Chatbot

Shopping assistance chatbots are designed to help users throughout their shopping journey, from browsing products to completing purchases. 

They can guide users in finding the right products, checking stock availability, and navigating the checkout process.

Industries: E-commerce, Retail, Consumer Electronics

Real-World Example: H&M’s Shopping Assistance Chatbot

H&M’s chatbot not only provides product recommendations but also offers shopping assistance by guiding users through various stages of their journey:

  • Navigating Product Categories: The chatbot starts by asking users about their preferred clothing categories, such as men’s or women’s apparel, to filter product searches.
  • Real-Time Outfit Suggestions: As users select their favorite styles, the chatbot assembles outfits, complete with pricing and product details, helping users make informed decisions.
  • Direct Purchase Options: The chatbot allows users to add items to their cart directly or provides a link to complete the purchase on H&M’s website, streamlining the shopping process.

2.4 Social Media Chatbot

Social media chatbots are designed to engage users directly on popular platforms like Facebook Messenger, Instagram, WhatsApp, or Twitter. 

Industries: Food & Beverage, Retail, E-commerce, Entertainment

Real-World Example: Domino's Pizza Social Media Chatbot

Real-World Example: Domino's Pizza Social Media Chatbot

Domino's Pizza utilizes a social media chatbot on Facebook Messenger to streamline customer interactions. Here’s how the chatbot enhances the ordering experience:

  • Seamless Ordering Process: The bot allows users to place orders directly from Messenger, making the process quick and convenient. Users can select options like "Easy Order" or "Most Recent Order" to place their favorite orders with just a few clicks.
  • Order Tracking: Customers can track their orders in real time, receiving updates on the delivery status without leaving the Messenger app.
  • Customer Engagement: By offering a simple, conversational interface, the chatbot keeps users engaged while facilitating repeat orders.

2.5 Conversational Marketing Chatbot

Conversational marketing chatbots use dialogue-driven interactions to guide users through the marketing funnel. 

Industries: SaaS, Real Estate, E-commerce, Finance

Use Cases for Conversational Marketing Chatbots:

  • Lead Nurturing: These bots engage visitors in real time, answering questions and providing information that helps prospects make informed decisions.
  • Product Exploration: By asking questions about customer needs and preferences, these chatbots can suggest the right products, encouraging users to move further down the sales funnel.
  • Personalized Campaigns: They can deliver personalized offers or promotions based on user behavior and interactions, increasing conversion rates.
  • Feedback Collection: After a purchase or interaction, these bots can collect feedback, helping businesses refine their marketing strategies and improve customer satisfaction.

3. Operational Efficiency Chatbots

Operational efficiency chatbots streamline internal workflows by automating routine tasks, improving department productivity. These bots manage functions like HR support, IT assistance, and scheduling, allowing teams to focus on higher-value tasks.

3.1 Appointment Scheduling Chatbot

Appointment scheduling chatbots help users book meetings or consultations automatically. They manage availability, coordinate calendars, and send reminders, making the process more efficient.

Industries: Healthcare, Real Estate, Professional Services, Beauty & Wellness

Use Cases:

  • Medical Appointments: Patients can book, reschedule, or cancel appointments.
  • Sales Demos: Prospects can schedule demos without manual back-and-forth.
  • Real Estate Viewings: Allows potential buyers or renters to book property visits.
  • Consultations: Professionals like lawyers and coaches can use it to manage bookings.
  • Salon & Spa Appointments: Enables customers to schedule treatments and receive reminders.

Implementation Tips:

  • Integrate with Calendars: Sync with popular calendar systems.
  • Provide Rescheduling: Offer rescheduling and reminders for better user experience.
  • Enable Human Handoff: Allow seamless transition to human reps for complex scheduling needs.

3.2 Survey and Feedback Chatbot

Survey and feedback chatbots are designed to engage users in collecting valuable insights through interactive conversations. These bots help businesses understand customer opinions, measure satisfaction, and conduct market research.

Industries: Market Research, Education, E-commerce

Use Cases:

  • Product Feedback: Gather user feedback on new products or services to refine offerings and improve customer satisfaction.
  • User Experience Surveys: Collect user insights about website or app performance, enhancing the user journey.
  • Market Research: Run surveys to understand market trends, consumer preferences, or demographics, supporting strategic decisions.

⭐Check out Streamlining Your Feedback Collection with AI Chatbots for more insights and tips.

Implementation Tips:

  • Keep Questions Short: Use brief, easy-to-understand questions to maintain user engagement.
  • Offer Incentives: Encourage participation by offering small rewards like discounts or gift cards.
  • Analyze in Real Time: Ensure the chatbot sends responses to an analytics dashboard for quick review and decision-making.

3.3 Internal Helpdesk Chatbot

Internal helpdesk chatbots assist employees by providing answers to internal questions and offering support for various processes. These bots improve operational efficiency by reducing response times and streamlining HR and IT queries.

Industries: Corporates, Tech Firms, HR Departments

Real-World Example: HR Assistant AI

Real-World Example: HR Assistant AI

HR Assistant AI is an internal support chatbot that integrates with Slack to address employee queries and automate repetitive tasks. Here’s how it helps:

  • HR or IT Queries: Provides instant answers to frequently asked HR or IT questions, reducing the need for human intervention.
  • Onboarding Assistance: Helps new employees navigate the onboarding process by offering guidance on forms, policies, and setup.
  • Process Guidance: Offers step-by-step instructions for internal workflows, improving employee self-service.

4. Industry-Specific Chatbots

4.1 Real Estate Chatbots

Real estate chatbots engage prospects by providing information about properties, scheduling viewings, and generating leads. These chatbots make the property search process smoother and more interactive, helping agents manage inquiries more effectively.

Industries: Real Estate and Property Management

Use Cases:

  • Assisting Users with Property Searches: Allows users to browse properties based on their preferences.
  • Scheduling Viewings: Offers convenient booking of property viewings directly within the chat.
  • Generating Leads: Collects user details and interests, making it easier for agents to follow up with prospects.

4.2 Finance Chatbot

Finance chatbots provide financial assistance, help with transactions, and offer account information to users. These bots improve customer service by providing real-time responses and handling transactions securely.

Industries: Banks, Insurance, and Fintech

Use Cases:

  • Answering Account-Related Queries: Responds to balance checks, transaction histories, and other account information.
  • Providing Financial Advice: Offers tailored financial guidance based on user behavior and inputs.
  • Facilitating Transactions: Helps users initiate payments, transfers, and bill settlements.

5. Chatbot Ideas for Your Small Business

Chatbots can be simple and cost-effective for small businesses. Here are some beginner-friendly ideas that are easy to set up and implement:

5.1 FAQ Chatbot

  • Purpose: Answers common questions like hours, pricing, or product availability.
  • How to Start: Use platforms like LiveChatAI or Chatfuel.
  • Example: A local bakery can use it to respond to “Do you have gluten-free options?”
  • Quick Tip: Start with 5-10 common questions and expand as needed.

5.2 Appointment Booking Chatbot

  • Purpose: Lets customers book appointments online.
  • How to Start: Use tools like Calendly or SimplyBook.me.
  • Example: A salon can use it for booking and reminders.
  • Quick Tip: Offer a discount for booking via the chatbot.

5.3 Lead Generation Chatbot

  • Purpose: Collects customer info to identify leads.
  • How to Start: Use LiveChatAI or MobileMonkey.
  • Example: A cleaning service can gather lead info for follow-ups.
  • Quick Tip: Offer a free consultation to encourage responses.

5.4 Order Tracking Chatbot

  • Purpose: Sends order status updates.
  • How to Start: Integrate it with Shopify or WooCommerce.
  • Example: An online store can send updates like “Your order is on its way!”
  • Quick Tip: Automate updates at each order stage.

5.5 Feedback Chatbot

  • Purpose: Collects customer feedback post-purchase.
  • How to Start: Use Google Forms or SurveyMonkey.
  • Example: A cafe can ask about customer satisfaction.
  • Quick Tip: Limit feedback to 2-3 quick questions. 

Conclusion: How to Choose the Right Chatbot Idea for Your Business?

Choosing the right chatbot can boost growth, improve customer satisfaction, and streamline operations. 

Here’s how small businesses or beginners can select the best chatbot idea, with implementation options using LiveChatAI.

1. Define Your Business Goals

  • Ask yourself: Are you improving customer service, boosting sales, or enhancing internal processes?
  • Examples:some text
    • E-commerce: Order tracking, product recommendations.
    • Healthcare: Appointment scheduling, symptom checks.
  • Tip: With LiveChatAI, you can set up custom chatbots focused on specific goals like customer support, internal support, or e-commerce needs.

2. Understand Your Target Audience

  • E-commerce customers may need help with orders, while employees might benefit from HR support bots.
  • Chatbots can be used to cater to specific needs, such as LiveChatAI’s Education AI, for student queries.
 LiveChatAI’s Education AI, for student queries.

3. Choose the Right Chatbot Type

  • Customer Service Bots: For handling queries, returns, or product info.
  • Sales Bots: For lead qualification or booking calls.
  • Internal Bots: For HR, IT, or onboarding support.

4. Start Simple and Scalable

  • Begin with core features and expand as you grow.
  • With LiveChatAI, you can start small and add functionalities like integrations and human handoff over time.

5. Consider Integration Capabilities

  • Ensure seamless integration with CRM, calendar, or HR systems to enhance efficiency.
  • LiveChatAI allows integration with tools like Slack, WhatsApp, and internal databases.
LiveChatAI integrations

6. Focus on User Experience (UX)

  • Use Natural Language: Make the bot conversational and friendly.
  • Personalize Responses: Tailor interactions based on user data.
  • Provide Human Handoff: Enable a smooth transfer to human agents for complex issues.

7. Monitor Performance & Gather Feedback

  • Analyze conversations, track KPIs, and adjust based on feedback to improve your chatbot’s efficiency.
  • LiveChatAI provides analytics tools to help you refine chatbot performance and user experience.

Frequently Asked Questions (FAQs)

1. What industries benefit most from chatbots?

Chatbots can provide significant value across a wide range of industries. The most common sectors include:

  • E-commerce & Retail: For customer service, order tracking, and product recommendations.
  • Healthcare: For appointment scheduling, symptom checks, and patient support.
  • Finance: For handling account inquiries, transactions, and financial advice.
  • Real Estate: For property searches, lead generation, and viewing scheduling.
  • Education: For student queries, enrollment assistance, and virtual tutoring.
  • Travel & Hospitality: For booking, travel info, and customer support.

Regardless of the industry, chatbot business ideas can be adapted to meet specific needs, driving both efficiency and engagement.

2. How long does it take to implement a chatbot for my business?

The implementation time varies depending on the chatbot's complexity and your business requirements:

  • Basic Chatbots: 1-2 weeks for simple FAQ or rule-based bots.
  • Intermediate Chatbots: 3-4 weeks for AI-powered bots with natural language processing (NLP) and basic integrations.
  • Advanced Chatbots: 1-2 months for chatbots with custom integrations, machine learning capabilities, and extensive conversational flows.

Quick deployment is possible with pre-built templates or chatbot-building platforms, but customization or integration will extend the timeline.

3. How secure are chatbots for financial transactions?

Security is a top priority for financial chatbots, especially those handling sensitive information. Financial chatbots typically incorporate:

  • End-to-End Encryption: To secure communication between users and the chatbot.
  • User Authentication: Via passwords, OTPs (one-time passwords), or biometric verification for secure transactions.
  • Compliance with Regulations: Ensuring that chatbots comply with data protection laws, such as GDPR or PCI-DSS, for safe handling of financial information.

It's crucial to partner with a trusted provider that prioritizes data security and compliance to ensure secure financial transactions through chatbots.

Perihan
Content Marketing Specialists
I’m Perihan, one of the incredible Content Marketing Specialists of LiveChatAI and Popupsmart. I have a deep passion for exploring the exciting world of marketing. You might have come across my work as the author of various blog posts on the Popupsmart Blog, seen me in supporting roles in our social media videos, or found me engrossed in constant knowledge-seeking 🤩 I’m always fond of new topics to discuss my creativity, expertise, and enthusiasm to make a difference and evolve.