Artificial Intelligence Business Applications: Artificial Intelligence Marketing and Sales Applications

By Bob Mather

If you want to scale your business using Artificial Intelligence tools and applications, then read below

Artificial Intelligence is the tech of the future. But if you're not already working in the field or studying the depths of artificial intelligence, it can be difficult to find information in layman's terms.
As a business owner, especially a small business owner, we are always looking at ways to improve the efficiency of our business; outsource, automate and scale. And Artificial Intelligence is the best tool to do use.
Here's a few things you can learn from this book
 

How current day businesses use Artificial Intelligence to move ahead4 Ways AI can help elevate your online marketing systemsUse AI to make your customers feel like they are in heaven3 Ways to Automate boring tasks with AIEnsure more efficient business compliance methods with AIHow Artificial Intelligence will Change the Nature of Business in the Future

If you're ready to have a tool that breaks down this complex topic in simple language then this is your chance. Download your copy now so you can get started on what is promising to be a most amazing future.

• Language: English
• Publisher: Abiprod
• Release date: Nov 22, 2018
• ISBN: 9781790207596

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Disclaimer

Copyright © Abiprod 2018

All Rights Reserved

No section of this book is allowed to be transferred or reproduced in print, electronic, audio, photocopy, scanning, mechanical or recording form without prior written consent from Abiprod Pty Ltd.

The author and published has taken great effort to ensure accuracy of this written content. However, readers are advised to follow information in this book at their own risk. The author and publisher cannot be held responsible for any personal, commercial or family damage caused by the information. All readers should seek professional advice for their specific situation.

How AI Has been Used in Business So Far

Customer Service Filter

Answering Basic Questions

A good portion of a customer service representative’s time is spent dealing with the most basic questions. The problem with the most basic questions is that they are repetitive and have the same answers.

Companies have invested in artificial intelligence as a way of removing the most basic questions needing attention from human customer service representatives. This allows the customer service representatives to handle more serious cases and respond quickly to customers dealing with more problematic situations.

Correct Redirecting

Including the most basic questions, a common reoccurrence for customer service representatives is simply answering where something can be found on the website. When you have a website as large as, maybe, Amazon then you have a lot of areas where content is buried underneath what is usually used by the common customer.

Artificial intelligence can pick up on keywords in the phrase such as can you help me find in order to redirect the user to what they need. Like handling the most basic questions, redirecting customers that are simply lost on the website saves customer service representative time.

Offering Products as Solutions

In addition to this, maybe the customer is looking for something that isn't obvious. Along with redirecting the customer, if a customer is looking for a specific product of yours but can't find it then they will able to redirect them to the appropriate product.

Since products usually complement each other in a company environment, this is often the best time to bring up additional software for sale or other products that complement what they were originally looking for. As this happens in almost immediate timing for the customer, the customer is not ready to defend themselves against a sales pitch and so they will usually check out the additional product.

Immediate Gratification

Due to the fact that artificial intelligence can handle as many people as you want it to, that means that waiting lines are significantly reduced. Instead of that frustration building up as they wait 30 minutes on the phone, the artificial intelligence is able to immediately gratify their needs.

In addition to this, artificial intelligence is less likely to make mistakes. Provided the artificial intelligence is built sufficiently, it will be able to handle the customer’s needs without misinterpreting the words of the customer. This is a point of contention amongst customer service representatives that primarily deals with demographic locations and how things are said amongst individuals. The artificial intelligence can recognize the pattern of words and determine the meaning based off of a database rather than personal experience.

More Satisfied Customer

By being able to handle customer service issues in a very quick manner, the customer normally leaves the discussion satisfied with the result. In the past, when customers had to wait to be seen by Representatives even though they may have paid a premium price, the lack of instant gratification often led to resentment with certain customer service agencies. One that comes to mind as a particular example is the Comcast customer service line, which was considered to be one of the worst for nearly half a decade simply because of mistakes and the amount of time that you had to wait.

Customers that are satisfied with the customer service experience are less likely to leave and more likely to stay on your platform, which means they are more likely to purchase items on your platform.

Detecting Fraud

Zip Code Detection

One of the easiest artificial intelligence implementations for security fraud is the detection of the common zip code. When a customer makes a purchase, they usually stay within the immediate area that they are in. ZIP codes that are outside of that area are normally very difficult to detect by human beings.

By having an artificial intelligence constantly looking at the account, it is able to detect when a customer makes a purchase that is outside of their zip code. It is then able to make an assessment as to whether the zip code in which the item was purchased is valid given the user’s past travel experience. For instance, a person in Cape Coral is very likely to purchase something in Miami every odd once in a while but that same person in Cape Coral is very unlikely to purchase something in Maryland for 500 times the cost. This brings up the next security fraud detection measure put into place by artificial intelligence.

Out-Of-Habit Detection

When it comes to artificial intelligence, things are grouped together in categories. When security specialists talk about out of habit behavior with financial data, they are usually talking about a three-category system. The first category is conservative, the second category is mixed, and the final category is extravagant or whatever word you want to use to describe blowing all your money. You can detect whether a person is conservative or not by looking at the amount of money they make versus the amount of money they spend as well as whether that money goes to bills or luxuries. By being able to understand the regular spending habits of an individual, a person who is normally conservative is not likely to spend something that is 50 to 100 times the amount they would normally spend. However, if they buy tech related items that are usually expensive, but it happens at a very low frequency then the account would likely consider that a tech purchase that is 50 times the amount that they would normally spend is a valid purchase because of the spending habits of the individual.

Falsifying Credentials

For a very long time, gas stations and security buildings have shared one thing in common. There is always a credential check for whenever you want to do something that requires a special privilege. At a gas station, you are required to provide credentials whenever you purchase things like alcohol and cigarettes. Security buildings, this is more likely to deal with access to certain parts of the building as well as items in that building.

The problem with credential checking is that it was often done by the human eye, which is scientifically proven to be one of the most unreliable devices for scientific measurement. However, with the invention of scanners and artificial intelligence, we no longer need to rely on the human eye to make credential checking more secure. In addition to this, these machines can keep up with current law whereas the security professional in the front is likely to lag behind the law for a few months and, sometimes, never actually update until they’re caught in the wrong.

Facial Recognition

In addition to credentials that you might find on a card, some businesses have begun using your face as a credential. It's not very widespread because such a credential can be faked provided you have a highly optimized picture in front of the camera, but the technology is getting much more advanced as time goes on.

For instance, artificial intelligence can already detect movement patterns within the face and take those as additional parameters. By knowing whether the eyes are moving, a common human reflex, the artificial intelligence would be able to determine the difference between a picture and a human. Facial recognition is far harder to fake, should we get to the point where it's as good as artificial credential checking, that it will likely replace credential checking as we know it.

Security Threat Analysis

The last bit is more of an ethical issue right now as many people are trying to fight it as companies are attempting to find ways to