RPA or Robotic Process Automation is an integral part of business processes automatization around the world. It is a technology that allows you to significantly simplify the maintenance of documentation and communication with customers, minimize manual data entry, and eliminate the factor of human error.
RPA solutions allow replacing a person in simple automatic actions performed on and by a computer. This solution reproduces the usual activities in the system: sorts mail, conducts orders, notes completed tasks, and sets new ones. In this article, we will talk about AI-based technologies that automate business in entirely different directions.
Optical object recognition technology is actively used in various types of business. It is not surprising, because of its vast potential of use:
Although there is no universal object recognition technology and each solution requires a different technical implementation depending on your business processes. The algorithm for teaching the neural network to recognize objects is approximately the same:
1. We decide exactly what and how should be recognized: by shape, size, color, etc. and define the leading labels.
2. We assemble the training sample for the system from available materials.
3. Manually mark the coordinates of the objects that we will recognize on the sample.
4. We teach the neural network using a test and training set, as well as gradient descent technology with control sections.
5. We create an algorithm for processing the received data and issuing the result.
This RPA solution is suitable for areas where tedious manual data entry is required and where the probability of error is high. For example, RPA solutions work well at insurance companies and travel agencies, where you have to draw up a contract, time after time entering data from a printed document.
The text recognition technology allows you to enter all the necessary data into a form in 2 seconds, which significantly speeds up business processes. A more detailed description of how the technology works can be found in our articles "Pass recognition" and "Vehicle registration certificate recognition".If You Need to Divide the Recognition Algorithm into Understandable Milestones, Then the Scheme Will Be Approximate as Follows:
The text recognition system reads an array of textual information.
The algorithm for processing of unstructured information gives it a look that you need for specific business problems solving.
The text array is divided into blocks, and each entered into the appropriate cell of a form or document..
When developing a text recognition system, you can use Google’s Tesseract OCR or ready services from other IT giants. However, a broad array of work will need to be done manually to adapt the system to your business processes.
The largest companies and online stores have already got chatbots. Also, this is not surprising, because such a technological RPA-solution allows many times to relieve a part of real employee work, save them from having to answer the same routine questions and even reduce staff consistently.
The need for chatbots arises most often as an answer to the question: "How to optimize support service?" A chatbot with elements of artificial intelligence won’t only be able to understand the customer's request and answer the most frequently asked questions, but will also offer the product or service that meets customer needs most. These needs can be understood both from a conversation with a customer and (if we are talking about the regular customer) based on historical data.
Сhatbots show excellent results in increasing lead generation and automating business processes in general because of the capability to learn while interacting with every new customer. You can read more about the effectiveness of implementing chatbots in business processes in our articles: "How we made voice chatbot on the base of Google Speech To Text API, Dialogflow" and "Best e-commerce chatbots examples".
It is enough to change the script by rewriting the rules for bots if you decide to modify workflows when working with RPA-systems. So it's much easier and faster than to retrain employees. Besides, robots automatically save all their actions in the logs, which is very important if you need to verify compliance with various legislative and industrial requirements.
Read more about data collection, mining date, technology based on self-driven vehicles in the article "How artificial intelligence gives a boost to business to a new level? Part 2".
If you are interested in described above decisions or need professional advice while implementing AI into your business, feel free to contact us.