Artificial intelligence and machine learning now can easily achieve a lot of repetitive tasks and automate the process. With the help of artificial intelligence, sales managers also can better focus on profit to produce a better result , numerous new methods and software tools to prove this point.
Now is the time for a change. Essentially, since the last century, 90 since the end of the decade the introduction of market, customer relationship management (CRM) has not changed, it requires the end user to log into the application they are using, the artificial creation and management software tasks ( log call , e-mail, create reminders, and so on down the trail ) . This is tedious, time-consuming and redundant, now is the time to play a role of artificial intelligence.
- According to Gartner 's survey, 42% of customer relationship management (CRM) software is not used.
- According to Forrester 's survey, 47% of customer relationship management (CRM) projects fail.
- According to CSO Insights 's survey, 73% of the sales staff do not believe in customer relationship management (CRM) can improve their productivity.
Large investments can do it ?
Many companies spend a lot of the cost of trying to make customer relationship management (CRM) normal operation, but it is not. People do know, through the use of artificial intelligence or machine learning technology, customer relationship management (CRM) improved overall. Using these statistical methods, mathematical and probabilistic algorithms, these customer relationship management (CRM) in technology can help accomplish many tasks. Customer Relationship Management (CRM) used in artificial intelligence applications include:
- Improve sales team productivity: the use of artificial intelligence gain new insights from past sales data, reduce manual analysis and saving valuable time.
- Excellent marketing support: AI can evaluate the previous price information, such as discounts, promotions and sales history to calculate the price elasticity of the product, which can optimize the price.
- Customer Retention: artificial intelligence to analyze previous sales data, which shows when and why customers leave. We can now see the early warning signs of potential loss of customers.
- Pattern Recognition: artificial intelligence to analyze the company's most valuable customers based on certain data points, and then compare it to potential new customers, and anticipate new customer value. This also allows sales managers to re-allocate resources more appropriately based on customer value.
Artificial intelligence and machine learning is now very easy to obtain, and people know that it can be used for many repetitive tasks and processes performed by humans are now automated. However, AI is currently unable to handle complex decision-making tasks. To complete the whole sales process, the team needs to complete by the robots to work together. For example, the human factor is a key component of the sales process, and can never be programmed things. In essence, to solve customer business challenges than entering data into customer relationship management (CRM) system more satisfactory.
In addition, artificial intelligence itself is not sufficient to achieve or complete the sale. This is definitely a machine and human collaborative efforts to successfully complete the process. However, with the help of artificial intelligence, sales managers can now work efficiently, focus on corporate profits, in order to produce better results. And the continued use of artificial intelligence software to help analyze and process optimization platform.
Artificial intelligence is not science fiction " phantom "
Many companies are trying to add artificial intelligence-driven " sales assistant " to repair customer relationship management (CRM) , customer relationship management tools are located (CRM) above, is designed to help sales representatives improve efficiency. However, this method is flawed, because the assistant uses artificial intelligence to customer relationship management (CRM) incomplete data to make decisions.
Nevertheless, to provide credit where credit's due, some companies completely rethink the way from scratch to build an artificial intelligence-driven platform. An example of such a platform is Spiro , it created a new method called proactive relationship management. Proactive relationship management engine based on artificial intelligence, customer relationship management (CRM) integration, sales support, and call reports into a single platform.
The value of sales by the artificial intelligence-driven single platform that:
- Auto, text messages and phone collects data from e-mail, the sales team has more time for sales.
- Automatic alert can complete the follow-up activities within the platform, to help sales staff to reach more potential customers.
- A better understanding of the leadership pipeline, thus promoting better management and earnings.
In short, active customer relationship management technology works by connecting to a corporate e-mail, as well as built-in phone system to connect to any data source or directory owned enterprises way. The use of artificial intelligence, the platform can collect all this information and learn from it. As mentioned earlier, it uses natural language processing to read and analyze e-mail text, in order to know what is happening in the sales process. Calls made through this platform will be automatically recorded, transcribed and then extracted from the intent of these calls, and make sure to capture these important tasks. As a result, the platform can be from any enterprise resource planning (ERP) , marketing software or other data sources to extract information, to ensure that customers fully understand the potential developments.
Based on this information, which uses machine learning to predict with respect to these records to the enterprise sales team what to do and when they should do it. Therefore, it will take the initiative to remind them, without any manual data entry. The result is sales director won an incredible amount of data, which involves the activities of the sales team, what their activities are, call in progress and the success of telemarketing case, where strong sales channels, or where sales channels weak. This information is combined with proactive relationship management platform built-in analysis tools together, so sales managers can be adjusted in real time.
The future what might happen ?
After using the machine to know to understand the available technology, which is a major change in the selling industry. Essentially, companies can use the machine assistant accurately and easily handle daily tasks, from scheduling meetings, follow-up tasks, answer customer inquiries via chat robots, while providing real-time predictive models, so you can make decisions and adjustments.
Over time, these tools and processes will only continue to improve. When the software can access more data, it will be able to provide more insight into the decision-making. Finally, the software will be able, without human intervention, to make some decisions based on the threshold value or score level. The use of technology at this level can achieve faster transactions and the best customer experience. Give employees extra time allows them to do more sophisticated or more important tasks, thus greatly improving productivity.
Welcome to the exchange of learning with us, bloggers Micro Signal: www_101data-cn