CRM systems successfully monitor market trends, automate and improve the work of companies in various business areas. The developers of free CRM software strive to improve and optimize the quality of the product, therefore, artificial intelligence is used in most system solutions. Neural networks modernize the activities of previously created CRMs regarding the effectiveness of interaction with the target audience. For example, additional chatbots, applications and other virtual assistants have been developed for Bitrix24 using AI.

How AI Works in Free CRM Software

CRM+ AI is designed to optimize sales and improve the quality of customer service. It is obvious that the use of free CRM software is initially aimed at automating most workflows, designed for large companies, small and medium-sized businesses. If we consider artificial intelligence in the context of CRM, then you will notice a significantly large coverage of information that neural networks can process in a short time.

The AI functionality, when implemented in CRM, solves a number of basic business tasks:

  • Processing any information images due to the possibility of continuous learning.
  • Analysis of customer data.
  • Extensive coverage of information about the interaction of company representatives with the target audience.
  • Forecasting business development trends.

You will be surprised, but neural networks linked to free CRM software are able to analyze customer behavior and build a model of cooperation with them based on a psychological portrait and preferences. By the way, the introduction of AI in Bitrix24 has allowed us to expand the service sector — that is, the developers offer the implementation of CRM solutions for different companies in a universal format. We propose to consider a detailed analysis of the AI functionality in the context of CRM.

Efficiency of Customer Data Collection

In the standard format, information collection, registration and verification are carried out manually. That is, the owner of the company hires staff who enter data on a PC. Labor costs are increasing, while employees spend a lot of time on routine work. With the help of AI for free CRM software, the data collection process is simplified and optimized as much as possible.

In addition to saving money, the businessman gets a reduced processing time for huge amounts of information. We remind you of the presence of the human factor: people who are busy with work feel tired, make mistakes, which are quite difficult to fix. Neural networks do not feel tired, are not affected by emotions, irritability and decreased performance.

Improving the Quality of Communication With the Target Audience

The usual communication with customers on the phone is complicated by emotions, the need to capture a person's mood. Confidential conversations that encourage further cooperation are difficult due to the lack of visual contact. After all, sometimes intonation or fatigue can affect the outcome of an agreement.

Artificial intelligence simplifies interaction with the target audience in the context of CRM implementation. Neural networks analyze the voice, intonation, and emotional state of the interlocutor. As a result, the manager receives tips from a virtual assistant and productively conducts a conversation with a potential buyer.

Making Sales Forecasts

The introduction of AI in free CRM software helps to optimize forecasting. This is one of the most demanded functions of CRM systems, and the use of virtual neural network assistants helps to obtain high-quality accurate forecasts. Artificial intelligence processes and generates:

  • Reporting on past and current sales.
  • CRM information obtained from external and internal sources.
  • Identification of factors and patterns that determine the success of transactions determination of profitability indicators.

Such forecasts help entrepreneurs identify priority customers, optimize sales, and adjust plans for the future. Obviously, the sales forecasts made by AI provide more correct information than a human emotional assessment.

Improving the Qualification of Leads in Free CRM Software

It is well known that traditional lead qualification is actually based on manual analysis. That is, an employee of the company evaluates and ranks clients according to certain rules by points. The introduction of AI in free CRM software has become a new, more advanced approach in the lead system.

The score based on the point system was replaced by a potential prediction. Neural networks analyze a large number of indicators, which are grouped by the client's past and current actions.

What the AI analyzes to qualify leads:

  • Geodata.
  • Demographic information.
  • The activity of a potential buyer.
  • Past purchases.
  • Interests from social networks and marketplaces.

Additionally, the AI analyzes unsuccessful transactions and fully verifies the data from the CRM of a relative specific buyer. All information is grouped according to certain criteria and used to make predictable estimates.

Transcript of the Conversation in Automatic Mode

Quite often, sales managers talk about the difficulty of negotiating with a potential customer. It implies the need to make notes and answer the client's questions at the same time. If you record the customer's requests after the end of the conversation, then there is a possibility of losing important information.

Artificial intelligence is constantly learning and can recognize human speech. Accordingly, the neural network analyzes the content of the negotiations and deciphers the requests of the target audience in the context of a specific conversation. The result is obvious: agreements and wishes are recorded, processed and form the desired outcome for both sides.

Optimized Personalization

Modern consumers demand attention and focus on their needs. With a large customer base, identifying the needs of each person seems impossible. Addressing by name is not enough, customers appreciate an individual attitude, which as a result forms a positive outcome of a meeting or negotiations.

Neural networks literally «save» the sales department, helping to optimize communication with customers. AI evaluates and deciphers business needs individually for each client based on the information collected and analyzed. Accordingly, the buyer receives the desired and profitable personal discounts, fast delivery and other privileges.

Virtual Assistants

The tandem of free CRM software + artificial intelligence implies the use of virtual assistants. These can be chatbots, apps, and other positions. They work on the basis of information received from CRM. Neural network assistants are divided into two categories: for sellers and for buyers.

Virtual assistants for salespeople are designed to solve key office tasks. They schedule calls and meetings, keep notes, send notifications, and help managers. The category for buyers is the processing of client requests, data collection and storage, conclusion of simple transactions, distribution of clients by managers.

Features of AI Application for Free CRM Software Bitrix24

The Bitrix24 CRM system is a popular automated business platform. The software is considered universal and is currently suitable for almost all companies — large, small and medium-sized businesses. The main area of Bitrix24 functionality is sales optimization. However, the number of available options covers a wide range of activities — integration with other services, reporting, information storage, automation of work processes.

The use of AI for Bitrix24 free CRM software made it possible to automate most of the routine tasks that were partially performed by humans. We propose to consider the key aspects of the collaboration of neural networks and the Bitrix24 CRM resource:

  • Full automation of work tasks.
  • The introduction of intelligent assistants.
  • Optimization of management.
  • Improved integration and use of voice assistants.

CRM work tasks are greatly simplified thanks to the «intelligence» of the neural network. That is, managers are completely freed from routine work — personalization of communication with customers, selection of marketing tools. Intelligent assistants process requests in the context of language decoding, allowing you to correctly identify the needs of the interlocutor.

Advantages of Implementing AI in CRM Systems

It is obvious that neural network virtual assistants comprehensively improve the effectiveness of CRM applications. AI technologies that promptly analyze external data, determine customer needs and build multi-stage personalization. As a result, the buyer is satisfied and ready for further cooperation. Agree, automatic personalization makes it much easier to unravel the desires of customers.

Similarly, the integration of artificial intelligence does not only enhance the operational competencies within CRM systems but also pushes the boundaries in fields such as cybersecurity. Understanding how AI can be secured and optimized plays a pivotal role in mitigating risks associated with its deployment. This integration of AI into cybersecurity outlines essential strategies for bolstering AI's defenses — highlighting a crucial axis where technology meets security protocols.

Making demand forecasts, identifying promising areas of the company's work, analyzing past mistakes and the absence of a human factor — these advantages clearly indicate the benefits of introducing AI into CRM services software. The learning ability of neural networks allows you to automatically optimize free CRM software, which is especially noticeable when working with AI assistants in Bitrix24.