AI has obviously grown from being a mere concept in sci-fi novels and movies into not only a reality. Yet, many AI implementations including business bots are now the core elements of so many businesses and even industries. It is expected that 80% of emerging technologies would have AI foundations in 2021, and the number of enterprises that have adopted AI has grown by 270% between 2015 and 2019, and the number is still growing.
The implementations of business bots are now everywhere, from chatbots implemented on so many websites to provide automated customer service, to machine learning bots used to provide individual recommendations for each user, as used by Netflix.
Here, we will discuss several examples of how business bots are revolutionizing the modern workplace:
Various chatbot implementations are probably the most common type of business bot applications people are most familiar with. These customer service bots are designed to use AI and machine learning to impersonate humans in conducting real-time conversations, especially to answer user’s questions.
While just a few years back chatbots are limited to just providing answers for relatively simple questions, today’s chatbots are already quite advanced and can even offer suggestions based on the user’s response.
Companies, for example, might use chatbots to ask preliminary questions in order to figure out whether a website visitor is qualified as a prospect. The chatbot can, for example, ask for the user’s available budget, and will only pass the user to a human salesperson when he or she is deemed qualified.
On the one hand, this can allow businesses to save more time and resources in providing customer service, and on the other hand, this can provide a more seamless customer experience for the user.
There are cybersecurity bots that are designed to protect a website, system, or network from other malicious bots, as well as other cybersecurity threats. Some advanced antivirus/anti-malware solution that utilizes AI/machine-learning technologies can be categorized as cybersecurity bots.
These bots can identify malicious threats and automatically manage the threat in real-time, while at the same time it can use machine learning to improve itself so it can recognize more types of attacks.
AI-based bot detection software like DataDome can also be categorized in this category. DataDome can detect the presence of malicious bots in real-time, and manage the bot activities accordingly in autopilot so it won’t require any user intervention.
Human Resource Bots are now utilized in every stage of employment, from assisting or even fully performing interviews to conducting training to evaluating employee performances.
An HR manager, for example, can use bots to automatically answer a candidate’s questions about a job opening. Internally, we can also use HR bots to provide automatic reminders and answer employee’s questions.
There are various business bots that can be categorized as marketing bots, and their main role is to provide the marketing team insights that can help marketers in planning the marketing strategy, monitor performances of campaigns, update real-time data, and others.
Similar to marketing bots in applications, sales bots use various AI and machine learning implementations to provide sales teams with real-time trends, information regarding targeted customers and suggesting potential prospects/leads to pursue. Pricing bots that monitor pricing trends in the marketplace can also be categorized here.
6.Risk and Compliance Bots
These risk management bots are deployed to continuously monitor activities to check whether the company has breached cybersecurity regulations and check for other threats. Risk and compliance bots, for example, can help protect user data to avoid violations.
For companies that publish copyrighted intellectual properties (i.e. music labels), copyright bots might be deployed to monitor the internet for potential copyright breaches, so the company can take the necessary legal actions and even take down the content automatically. YouTube’s copyright bot is a good example of this business bot implementation.
8.Supply Chain Bots
The role of supply chain bots is to ensure materials and products flow smoothly from order to the actual delivery process. There can be various types of bots included in an actual supply chain process. For example, there might be dedicated order processing bots, distribution bots, inventory checking bots, shipping bots, and so on.
Various business bots are now being deployed to elevate various functions of the organization, allowing systematic improvements in various organizations.
Most of the business bots mentioned above are designed to improve the efficiency of various tasks and processes within an organization, as well as to reduce the burden of human employees in performing these tasks. These automated bots provide broader, more versatile services in real-time, freeing our human employees so they can use their valuable time on core operations that can help grow the business.
Throughout 2021, Gartner expected the implementation of business bots to increase by 25 %. So, if you haven’t already, it’s time to start incorporating these business bots into your business operations.