AI Apps and Implementation
AI-Powered CRM: The Key to Better Sales, Marketing & Customer Service
Having CRM in business is good, but having AI-powered CRM is great.
Without a doubt, CRM automates business processes and makes the operational process efficient. But with AI, you can make things even better.
Do any of these challenges sound familiar?
- Limited customer insights, making it hard to understand what they really want
- Low engagement and retention, leading to missed opportunities
- Inaccurate sales forecasting, making planning difficult
- Delayed response times, frustrating customers, and losing deals
By using AI-powered customer relationship management systems, you can solve these issues. How?
In short, AI can:
- transform your data into actionable and predictive insights,
- create personalized customer experiences,
- improve automation,
- and many more.
But let's dig deeper and explore how you can leverage AI in your CRM.
In this article, we will dive into:
- What problem can you solve by implementing AI into your CRM
- How you can implement AI into CRM to drive measurable results
- How Onix can help you leverage AI
Book your free one-hour consultation and get your ML solution demo within a week!
Why Implement AI into CRM system?
Generative AI in CRM market size is expected to reach $144.9 Mn by 2033.
More and more businesses realize that AI technology can fundamentally change how they interact with their customers.
- Easily process massive amounts of data.
- Get predictive insights.
- Offer personalized engagement and customer experience.
Sounds interesting, don't you agree? But let's dig deeper and explore the key benefits of AI in CRM.
Do you want to make smarter decisions? AI provides predictive data
“Our development experience has shown that robust AI solutions can transform customer data streams into actionable insights that drive strategic decisions. By harnessing predictive analytics and real-time processing, we’ve helped companies not only anticipate market trends but also elevate personalized customer experiences, optimize marketing efforts, and enhance operational security,”
- Oleksii Sheremet, Onix’s ML Tech Lead.
As we have already noted, AI processes and analyzes large volumes of data, allowing businesses to get precise sales forecasts and make informed and smart decisions.
This proactive approach allows you to:
- adjust your marketing strategies and customer service in advance
- better manage inventory
- implement effective retention strategies
- achieve sustainable market growth and profitability.
Do you want every customer to feel special? AI offers personalization at scale
Forget about the approach when you send one message to all your customers. Now, only personalized emails, recommendations, and offers.
AI helps you create personalized marketing campaigns aimed at individually satisfying each customer.
According to the research, 75% of consumers think it is “very cool” to receive personalized offers. Moreover, 22% of consumers are happy to share data in exchange for a more personalized service or product.
This personalized approach can lead to:
- enhanced customer experience
- higher engagement and satisfaction
- higher conversion rates and sales growth
- enhanced brand reputation.
Want to know what your customers really think? Sentiment analysis already knows this
According to the GoodFirms survey study among its associated B2B companies, 91.5% of participants said AI can help brands know their customers.
Natural language processing (NLP) technology enables speech recognition and sentiment analysis, allowing you to assess customer satisfaction and adjust your communication strategy accordingly.
This leads to:
- automated feedback analysis
- early detection of customer issues
- more personalized approach
- more responsive customer interactions
- better customer insights and segmentation
- enhanced customer satisfaction
- data-driven decision-making.
Are you having a hard time prioritizing potential customers? AI will tell you who is ready to buy
AI-driven CRM platforms offer improved lead scoring because the technology analyzes your data and identifies and prioritizes the highest potential leads.
Companies using AI lead scoring have reported a 28% increase in sales productivity.
This feature allows you to:
- reduce the time spent on manual scoring
- improve lead scoring accuracy
- devote time to the most valuable prospects
- increase sales efficiency and reach high conversion rates.
Top Use Cases of AI in CRM Systems
The options for using CRM and AI are vast and vary depending on business goals.
In the Generative AI CRM market, sales applications lead with a share of 47.8%.
But let’s see all the key use cases of AI in CRM:
Sales
A recent study shows that 79.1% of CRM users believe that AI in CRM sales tools is important, and 40.1% mention that AI is essential.
With AI, lead management is no longer guesswork.
How it happens:
- AI thoroughly analyzes your data and accurately prioritizes high-potential leads. It also predicts future sales figures based on historical data and market trends.
- Your sales team focuses on qualified leads and confidently plans sales strategies.
Operations
Do you know what can slow down your operations?
We assume it could be:
- Manual data entry
- Manual scheduling follow-ups
- Manual updating of customer records.
By investing in AI CRM systems, you can automate all these time-consuming administrative tasks, including logging customer interactions, assigning tasks to the right employees, and reminding a team member about follow-up actions.
As a result, there are no human errors and no lost opportunities.
Customer service
Modern customers don't wait long. They demand fast and high-quality support.
In this case, AI technology does a good job. For example:
- Chatbots and virtual assistants provide instant responses, freeing your employees for more complex questions.
- AI detects dissatisfaction by scanning customer emails, social media comments, and reviews.
Read also: Transform Your Business with Onix’s Chatbot Development
Marketing
Personalization. No, it's better to say hyper-personalization. That's what's at the top.
If you want to deliver highly targeted campaigns, use artificial intelligence with customer relationship management. They can help you to:
- analyze customer preferences, purchase history, and interaction data
- avoid sending the same message to every customer
- customize your promotions, emails, and recommendations to suit individual needs.
AI in CRM: Business-Specific Use Cases
Today, companies from various industries already use CRM systems and have significant benefits for their businesses.
However, we propose that you explore how AI can enhance CRM for business, making it even smarter while significantly increasing your business's efficiency.
Retail
Retail occupies a dominant position in the Generative AI CRM market, holding over 38.4% share.
Retail businesses actively use AI to:
- transform the shopping experience
- provide a more personalized customer experience
- optimize inventory management
- enhance recommendation engines
- effectively manage data
- improve sales processes.
"Machine learning use cases in retail enable businesses to predict customer demand more accurately, ensuring the right products are in stock at the right time."
- Oleksandr Hergardt, Head of ML department.
Below, you can see some use cases of AI in retail CRM systems:
Use Case |
How It Works |
Benefit |
| Personalized Customer Experiences | AI analyzes customer data to offer personalized recommendations and promotions. | Higher customer satisfaction and increased sales. |
| Predictive Analytics for Inventory Management | AI predicts product demand and adjusts inventory accordingly. | Fewer out-of-stock issues and better stock management. |
| Automated Customer Support | AI-powered chatbots provide 24/7 support. | Faster responses and reduced workload for support teams. |
| Lead Scoring and Segmentation | AI prioritizes leads based on buying behavior. | Increased conversions and better resource allocation. |
| Churn Prediction and Retention | AI identifies at-risk customers and triggers retention efforts. | Improved customer retention and reduced churn. |
| Sentiment Analysis | AI analyzes feedback and social media to understand customer feelings. | Better engagement and stronger brand reputation. |
| Dynamic Pricing | AI adjusts pricing based on demand, competition, and customer behavior. | Maximized sales and competitive pricing. |
| Enhanced Marketing Campaigns | AI helps create targeted, personalized marketing campaigns. | More effective marketing and higher engagement. |
Healthcare
CRM integrated with AI capabilities allows healthcare providers to:
- get insights and predictive analytics to make informed decisions
- personalize patient care plans
- streamline operations
- optimize treatment outcomes
- increase business efficiency.
Below, we will show you the power of AI in CRM for the healthcare industry:
Use Case |
How It Works |
Benefit |
| Personalized Patient Care | AI analyzes patient data to offer tailored treatment plans and reminders. | More personalize patient engagement and better treatment outcomes. |
| Automated Appointment Scheduling and Reminders | Automated appointment bookings and reminders. | Improved scheduling efficiency and patient attendance. |
| Patient Segmentation for Targeted Outreach | AI segments patients based on health conditions or treatment history. | More effective patient engagement and increased satisfaction. |
| Churn Prediction and Retention | AI identifies patients at risk of discontinuing care and triggers retention efforts. | Reduced patient churn and improved retention. |
| Natural Language Processing (NLP) for Patient Feedback | AI analyzes patient feedback to assess satisfaction and identify areas for improvement. | Better understanding of patient sentiment and improved services. |
| Enhanced Billing and Insurance Processing | AI automates billing and identifies discrepancies in insurance claims. | Faster claims processing and reduced administrative workload. |
How Onix created a CRM system, which allowed to digitize the workflow of insurance agents with minimal costs for the company
Financial services
AI-powered CRM systems for financial institutions provide improved fraud detection and customer risk analysis, as well as optimize operations.
Here are some popular use cases of AI in CRM for financial institutions:
Use Case |
How It Works |
Benefit |
| Personalized Financial Advice | AI analyzes customer financial data to provide tailored investment strategies. | More personalized services and better financial planning. |
| Predictive Analytics for Customer Behavior | AI predicts future behaviors like loan applications or investment opportunities. | Proactive service offerings and better retention. |
| Customer Segmentation for Targeted Marketing | AI segments customers based on financial behavior and goals for targeted campaigns. | More effective marketing and improved conversion rates. |
| Risk Assessment and Loan Underwriting | AI analyzes financial data to assess credit risk and determine loan eligibility. | More accurate risk assessments and faster approvals. |
| Sentiment Analysis for Customer Feedback | AI analyzes customer feedback to gauge sentiment about the institution. | Better customer understanding and improved service. |
Read also: AI-Powered Banking: Transformative Trends, Insights and Use Cases
Real estate
By 2030, AI in the real estate market is expected to reach $1,803.45 billion.
The growth of AI in CRM is driven by the fact that AI allows real estate professionals to:
- get predictive analytics to forecast trends
- improve customer engagement
- identify investment opportunities
- optimize lead generation.
Here is a brief overview of AI use cases in real estate CRM systems:
Use Case |
How It Works |
Benefit |
| Smart Lead Scoring | AI ranks leads based on behavior and financial data. | Focus on high-quality leads, higher conversions. |
| Personalized Property Recommendations | AI suggests listings based on client preferences and market trends. | Faster property matching, improved satisfaction. |
| Automated Follow-Ups & Communication | AI-driven chatbots and messaging keep leads engaged. | Higher engagement, fewer lost opportunities. |
| Market Trend Prediction & Property Valuation | AI predicts property values based on market trends and data. | More accurate pricing, better investment decisions. |
| Customer Sentiment Analysis | AI scans reviews and feedback to understand customer sentiment. | Improved client relations and marketing strategies. |
| Automated Contract Processing | AI verifies documents and automates contract workflows. | Faster transactions, fewer errors, better compliance. |
| AI-Powered Marketing Campaigns | AI optimizes ad targeting and segmentation. | Better customer engagement and higher return on marketing investment. |
E-commerce
The synergy of CRM and AI allows e-commerce businesses to:
- streamline lead management
- increase customer engagement, satisfaction, and retention
- optimize data management and operations
- maximize profitability.
Read also: How Machine Can Boost the Online Shopping Experience in Ecommerce
Below, we've gathered some examples of using AI in your e-commerce CRM systems:
Use Case |
How It Works |
Benefit |
| Customer Segmentation for Targeted Marketing | AI segments customers based on behavior, demographics, and preferences. | More targeted marketing and higher engagement. |
| Automated Customer Support (Chatbots) | AI chatbots handle common inquiries, order tracking, and product info. | Instant support, reduced operational costs, improved experience. |
| Predictive Analytics for Inventory Management | AI predicts demand and optimizes inventory levels based on data. | Reduces overstocking, prevents stockouts, improves efficiency. |
| Behavioral Analytics for Targeted Offers | AI tracks behavior and sends personalized promotions. | Increased repeat purchases, better customer retention. |
| Sentiment Analysis for Customer Feedback | AI analyzes reviews, social media, and feedback to understand sentiment. | Better services, high customer satisfaction and retention. |
| Fraud Detection and Prevention | AI detects suspicious transactions and prevents fraud at once. | Reduces fraud risk and enhances security. |
Learn how Onix built an Al-powered solution to find safe beauty products easily
Ready To Integrate AI into Your CRM? Onix Can Help at Any Stage
As you may have noticed, AI is transforming CRM, making it more intelligent and efficient.
We have described many use cases, but these are not all AI possibilities. How you will use artificial intelligence depends on your business industry, needs, and goals.
To effectively use AI, you need a qualified team of specialists who will explain everything to you from A to Z and smoothly integrate AI into your CRM.
Onix is here to help at every stage, whether you want to:
- get consultations to clarify your vision
- build a proof of concept to test the feasibility
- develop a custom AI-powered CRM from scratch
- enhance your existing CRM with AI capabilities.
Let’s discuss your goals and turn them into actionable results!
Book your free consultation today and get a working demo in just one week!
FAQs
How long does it take to implement AI in a CRM system?
The timeline depends on complexity. Simple AI features like chatbots can take a few weeks, while full AI-powered CRM solutions may take several months.
What challenges should we expect during the integration of AI in CRM systems?
Challenges include data quality issues, system compatibility, user adoption, and ensuring AI-driven insights align with business goals. Onix helps navigate these hurdles smoothly.
How much does it cost to implement AI-powered CRM features?
The cost varies based on complexity, customization, and required AI capabilities. Here’s an approximate breakdown:
- Basic AI features (chatbots, automation, sentiment analysis): $10,000 – $30,000
- Advanced AI (predictive analytics, AI-driven recommendations, lead scoring): $30,000 – $80,000
- Full AI-powered CRM development (custom AI integrations, deep learning models): $80,000 – $200,000+
How does AI ensure data security and compliance in CRM?
AI-powered CRMs protect customer data by following strict security protocols, including encryption, access control, and compliance with GDPR, HIPAA, or industry-specific regulations.
How do we get started with Onix for AI CRM development?
Book a free consultation with our team! We’ll discuss your vision, analyze your CRM needs, suggest the best approach, and provide an estimate for development.
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