Nobody knows how people react to new products.

 

One thing that causes uncertainty in new products is uncertainty. Nobody knows how people react to that product. And another thing is how many people will buy that product? 

Sometimes even the known company and very big campaigns are not bringing customers who are willing to pay for the product. And without sale, all money and time. 

That is put into the R&D process is just a waste of time. Even if some free applications like Twitter are a very big success as freeware doesn't mean that people are willing to pay for them. 

That means that free software can be very popular. But nobody wants to buy about the use that kind of tool. In this case, that company will bring some products to markets. There are two big problems. 

*How to predict sales? And make sure that people are interested in the product. The main question is how to make people buy the product. Interest is not enough. The thing that is enough is the sales. 

*And the second main question is how to price the product. If the product is too cheap. People suspect its quality. If the price is too high, people think that product is too expensive. 

The main thing in business is how to make people look at a product. If people are not even looking at the product they cannot buy it. There must be something that makes interest for the product. And then something must cause the need to buy it. 

When companies are making products, they want to sell them. Without sales is no company. The company wants compensation for the time and money. That is put into the product's R&D process when it brings the product to shelves. If the product doesn't please customers the entire R&D process is only a waste of time and money. 

This is the fact in all products. The physical products or SOAP (Service Oriented Application) have similar problems. The customers are accumulating to well-known actors. 

The big size, large marketing capacity, with large networks of customers and recommenders are accumulating people to those actors. The "Accumulation theory" by Karl Marx still lives. The accumulation theory goes like this. 

The capital accumulates in the hands of wealthy actors. But the reason for that was unknown in the lifetime of Karl Marx. The reason for that is that people. Who have lots of money or capital are hanging with other wealthy people. Many times those wealthy people are in the leading position in their companies. 

And that allows a good social environment to offer also new products. The person who knows some other leader can make offers more freely than some outsider who must ask the audience. And if those people are meeting at dinners or free time. They can discuss the product unofficially before the buyer introduces those products to people with the same rank as that director.

And the internet version of the accumulation theory goes like this: when some company has a large number of customers. That accumulates customers to that company. 

The thing is that a large number of customers is bringing more customers. 

The customers must buy those products. And they pay money for that. That means customers don't want to try multiple products before they decide do they want to buy the product.  So most of the customers choose the well-known product and producer. 

So the well-known offerers of the products are more popular than some start-ups. They have an existing network of customers and recommenders. That means the customers and capital are accumulating in well-known actors' hands. This sad thing makes the internet and its products accumulate in the hands of smaller groups of actors. 

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Machine learning as the support of the sales management

Machine learning as the support of the sales management

1. The company would record the phone calls

Machine learning would benefit companies and other actors in many ways. One thing is that the company, what makes sales work would record the phone calls and then collects the database using those phone calls.

Then artificial intelligence would compare the result of the sales speech to the result, what is wanted. The wanted result is, of course, the thing, that the people buy the merchandise. The artificial intelligence keeps a database about the salesmen, who has a perfect voice and would please each group the customers, and that makes possible to choose a certain member of the team to each customer.  And that thing would help the company to use the speech more effective than without artificial intelligence.

The algorithm is searching the length of the speech, and if it complicated it searches the use of the voice of the person, who answers the phone. And that tells the algorithm, is the person really interested in the product. But normally people would not even understand the abilities of artificial intelligence.

2. Algorithms are comparing the telephone calls and results of the calls, and that helps to make a better result

That machine would create the profile of the users, what would buy certain products. And those algorithms can also make profiles of the combinations, what is making certain people buy things. Those groups can be "single living web developers" type sorting of the customers. And those algorithms would also notice if some group of customers would not buy things.

When learning machine makes analyzes it would use many kinds of variables. One thing, what it can analyze is the noise, what be heard in backward. That will tell the artificial intelligence, what is going on in that space. And then it will compare the variables, and if some variables are heard backward when the telephone call is cut. The artificial intelligence notices that the things like the jingle of the dishes are causing the cut of the phone call and that data makes easier to train the salesmen to get better results in their work.

The problem of the web store is the physical product

The problem of the web store is the physical product

The main thing in the web store is to get people to buy things. And in that thing, the keeper of the web store must ask one question "why somebody want to buy those merchandise from our store". The thing is that the store is for the customers, and they must feel comfortable when they are surfing in the homepages because if they are not feeling like that, they would not buy merchandise. So for making a successful business, the merchant must also give something for getting buyers, who would pay the products because without customers the money would be ended.

And in this case, the number of clicks is not enough. Only the number of sold items is giving money to the company. Web store itself doesn't need much, but the little thing in this kind of marketing system is the product itself. If the web store is selling some product, it must have that merchandise in the storage, or the next thing is the criminal prosecution process because cheating is a crime.

The thing in the web store is, that the merchandise profiling would make possible to buy the merchandise, what the web store sell to the customers. If the focus is on the products, that would be sold to the customers, that products would not stay on the racks to wait for the buyer. And in this process, artificial intelligence can sort the selling events, what would bring the money to the accounts of that company.

At the beginning of the operations, the web store can sell every kind of merchandise for making the homepages interesting, and then the focus can transfer to the products, which are really sold. The product of the web store can be anything from the tennis shoes to some SOAP (Service Oriented Application)-application, which can be anything from plumber service to the micro support. SOAP means that the store sells immaterial services, which are probably making people happy.  The thing is that in the beginning, the web store can sell both things, physical and services.

But then they must find the focus of the business and operations. In the SOAP the problem is that the persons, who are giving services must have a really good education, that they dare to go to fix the dish machine or install the computer. And those persons must keep their skills update and be sure, that the customers are happy and satisfied with their service. When we are thinking about the problem with a web store, we must realize that thing is actually a very large scale Peer to Peer (P2P) solution, where the multiple customer candidates take the direct contact to the service offered, and that makes this kind of business very challenging.

The purpose of the homepages, which are named as the web store has to sell the product, but also offer the contact information to the customers, because they must feel, at when they are bought the service or physical merchandise, they must feel that they are getting support and advice with that product. And the problems must be informed to the web store immediately because if the thing, what have been bought have not satisfied or there are problems with delivering those products, the store would want to know those problems immediately, if the product was not, what the customer wanted, that would decrease the selling.

In fact, if the merchant would dare, in the homepages would be found the question, why the person did buy anything, that the merchant would fix that problem, and get better profits. This is, what is called the interactive trading process, where the seller would communicate with customers and customer candidates all the time for making service better and more comfortable because it would bring the customers candidates to homepages, and that probably increases the selling events.

Here we must realize, that only the number of clicks is not enough. People must pay the products or the net store would face bankruptcy, what is the end of the business. At the beginning of this text, I mentioned that the main question in the business is to ask the question, "Why people would buy our products?". This is the thing, what must be realized if the web store wants to sell products to the people.