Disruption or Bubble? What Does Wait us About Chatbots ?

Disruption or Bubble? What Does Wait us About Chatbots ?

Chatbots — in other words “conversational agents”- created a great expectation about the future with their promising app-alternative solutions. Advancements in deep learning models such as Natural Language Processing(NLP) and Long Short-Term Memory Network(LSTM)opened new gates for us in the field of language and speech recognition.

When I first saw the early stage opening windows in websites that saying “Hello there.. How can I help you?” that made me thinking about the future. Was that really possible to model every possible situation as meaningful models for our machines?

That was almost impossible for us until a few years. All our conversations were turning a dilemma between we and the chatbots. Then NLP evolved and high accuracy in chatbots were no longer a dream.

Chatbots with jokes were a good amusement, but the state-of-art model for deep learning is not just for some laughters.

Our anticipation for chatbots was the replacement of complicated apps that we are using in our smart gadgets. Language and speech recognition would made it possible to guide our smart gadgets according to our needs.

As Gartner revealed in its IT predictions for 2018 our e-commerce habits will be reshaped with deep learning. Gartner stated that websites with support for visual and voice search via chatbots will increase its revenue up 30% by 2021.

But hold on there is more..

The research company also predict that more than 50% of enterprises will prefer ai bots and chatbots rather than applications.

Top Articles on How Businesses are using Bots:

Isn’t that exciting ?

Well that change wouldn’t be easy….

To start this adaptation comes with a great question needed to be answered:

Where to Start ?

Creating an useful user experience is our main objective. From my observations some enterprises already pioneer with their chatbot integrations in their websites and consumer services. The easiest solution for that using common solution SaaS product chatbots.

There are really good products in the market that answer needs of enterprises but still there is time to reach the perfect match.

So if you want to join this innovation climate I will explain 3 possible steps for your enterprise :

1.Call Center Help Desk

Start from the popular. Call center calls and consumer services are one of the best place to start. It is the most advanced chatbot solution since creating meaningful patterns for consumer habits is really easy with the datasets we have.

Also starting from the popular will give you a chance to evaluate the integration. Rather than a total change starting from the easiest method will enhance your experience with chatbots. Also practicing with chatbots will give you new ideas to implement in your enterprise.

2. Equipment and Inventory Management

As another emerging technology IoT will disruptively change how easy we can reach qualified data. With image recognition technology and IoT sensors , Inventory Management will be one of the most chatbot affected area.

Live control of your inventory is a real problem if you have a big scale of products and stocks. Chatbot services can provide notifications for warehouse workers when a product is out of stock. Also you can control the shipments and logistic situations with the help of chatbots.

3. Internal Project Organization Service

As your enterprise evolve integration within the departments will be a great problem for you. You will experience that most of the times different departments will not understand each other because of their lack of experience in that field.

Even if department manager can handle these solutions you will need lots of applications for project management such as Git services, Jira , Slack , Trello etc. All of this applications comes with their own user guides. Most of the times dealing with how to integrate all of that services can be overwhelming.

An internal chatbot for your enterprise can be the solution for that problem. Scheduling appointments , setting tasks , creating recommendations and reaching solutions for your computer’s problem without the IT guy is possible.

Start from the most feasible automations for your enterprise and widen the perspective of your chatbots. Scheduling appointments is a good step to start.

Some people call this artificial intelligence, but the reality is this technology will enhance us. So instead of artificial intelligence, I think we’ll augment our intelligence.”

— Ginni Rometty, CEO , IBM