Every modern business sector is directly or indirectly tied to communication with customers. There are always several links in the sales chain. It usually looks like this:
- Warehouse employee.
- Logistics provider.
The communication process itself takes place in several formats: audio, video, text messages, or offline communication. All of this wastes company resources and distracts employees from crucial business processes. Virtual assistants and advanced chatbot development technologies are used to reduce the cost of staff and, at the same time, provide consumers with a top-notch service experience.
A modern chatbot is capable of combining several vital functions:
- Order processing.
The total value of the chatbot industry will reach $142 billion by 2024, and the fastest growing market will be the Far East (70% of the global number of chatbots) and China in particular, with 55% of the industry share (about $80 billion per year).
The high efficiency of chatbot development technologies makes them a significant acquisition for any company engaged in commercial activities or providing services to consumers. And the more progressive the IT solution, the higher the profit.
Chatbot of Today: the Ideal Model and its Components
The traditional notion of a “chatbot” is a set of programmed algorithms for code to respond to user requests. But what happens if you add a little freedom to it? We get a modern progressive AI chatbot that will not only respond to messages but also improve itself through active self-learning. This IT solution requires an operating core and machine learning technology connected to data lakes.
Top platforms for chatbot implementation
Successful businesses try to expand their presence on the Internet. To do this, they must maintain not only a personal brand resource (website, SPA, mobile app) but also build their influence on popular platforms through AI chatbot development. These include:
- Facebook Messenger.
Most modern messengers and marketplaces support the introduction of chatbots and give total carte blanche to developers of such software.
AI chatbot features
In order to provide 90% coverage of the communication tasks of the business, it is necessary to implement the company’s key functions in AI chatbot development as much as possible. Depending on the company’s business area, the set of assistant commands can be as large and branched out as desired.
Let’s look at a classic template for the functionality of a “smart” chatbot of a commercial company:
- clarification of assortments by warehouse databases, providers;
- providing product characteristics or features on request;
- comparison of similar items from a company catalog;
- selection of similar items from an assortment;
- forwarding of messages to a manager;
- receipt of purchase requests;
- issuance of payment details;
- shipping arrangements;
- cross-selling offers;
- informing about promotions and discounts;
- announcement of new goods.
Here we can also add various greeting phrases or dialogue wording based on the user’s geolocation, contact information, and other info received by the bot during communication. But this becomes possible only when extending the “intelligence” of the chatbot by introducing modern chatbot development technologies, such as AI, ML, and DL.
From Chatbot to AI: Lifecycle-long Transformation
The utopian image of a chatbot looks like a hologram of an attractive person, able to conduct a constructive dialogue with consumers through their voice. Such a program should analyze the mood, tone, needs, and requests of the user on the fly, process terabytes of information in the flow, connecting to servers with data. As a result, the digital consultant will be able to produce relevant results in a familiar form. But this is only a fantasy, which is not so far from reality.
Modern development languages, frameworks, and technologies, in general, already know how to process human speech. This is made possible by innovations in chatbot development technologies such as NLP and NLU (natural language processing and program perception). Bot development lasts throughout the entire lifecycle of an IT solution: from its planning to its disconnection from the servers.
Benefits of AI Chatbot with NLP and NLU, ML, DL
Every company wants to scale, but not every company succeeds. The secret of successful expansion lies in simple solutions. One of them is a full-featured chatbot with a self-development algorithm.
One of Microsoft’s smart assistant architecture options: