a) Product properties

The product is an algorithm which can operate both off and online.

b) Main functions

The product captures all the possible scenarios/combinations which may trigger a successful series of exchanges with existing data.

E.g.: If we think A, B, C, D, E and F in above picture represent seven identified people in seven locations, and they want to change their location in the direction of arrow, algorithm will capture the successful directions such as (I) A→B, B→C, C→D, D→E, E→F, F→A (II)A→B, B→F, F→A (III)A→B, B→C, C→E, E→F, F→A.  If the person in the B does not want to go to F (B→F), the algorithm will only show (I) and (III) only. In other words, all locations are filled with no surplus or deficit, based solely on the will of the person who wishes to relocate.

c) Unique selling proposition (USP)

At the moment, no existing system addresses the gap that is addressed by the “exchange algorithm”. Therefore, this product is unique in its service. Some of the gaps which can be solved with this algorithm is given below.

1. Most of the purchased books are not adequately read/shared/used.

2. Vehicle selling is not coupled with immediate buying of the intended vehicle (Increased waiting time).

• No proper platforms to exchange properties

• No automated mutual transfer/reshuffling system which address the gap addressed by “exchange algorithm”

d) Business models:

The chosen mode of bridging the gap may determine the business model. As some of the use cases like book exchange can be incorporated into a brand-new social media platform, it will open a Facebook like business model.

Even offline use of algorithm too can produce separate business models.

E.g.:

1. Mutual transfers of various employment categories.

2.  Property exchange opportunities

1. Online bookstores and libraries for used books

2. Social media groups for mutual transfers

3. Classified advertisements for property exchange

1. Book exchanges

Many of us buy and read books on our own. Except for the first reading, these purchased books are usually read by no one else. Following that, they will only be displayed in our book racks. As a result, there could be millions of such books simply sitting on bookshelves.

Books are meant to be read. If we can incorporate these books into a virtual library where all these people can exchange them, we may be able to get the most out of them.

SSUMETHODS.COM is attempting to change this culture. In its initial appearance, book owners are asked to provide information via the ISBN number of the book. They can choose whether to exchange, sell, or donate their books. They have the option of purchasing the books that are for sale. Alternatively, they may receive the books that have been donated. If the customer wishes to exchange the book for another available for exchange, he or she can do so using the algorithm built into the system’s partner search. Because the system is linked to a social media platform, when an opportunity for exchange presents itself, the relevant book owners can virtually meet and arrange transactions. If the transaction is not done head-to-head, the customer who receives his book is not the same as the customer who gives him the book.

Such kind of transactions are not possible without an algorithm.

2. Location exchange

You could be a manager in charge of hundreds of thousands of employees. Or perhaps you are one of those employees.

Location simply is the place where the employee works. It could be a city, an institute such as a bank, hospital, or school, or a unit within an institute such as a ward in a hospital, a subject in a school class, a grade in a specific office, and so on. Sporting clubs can easily be included as well.

The employer may need a replacement before releasing the employees from the position/location where they currently work. This is exactly what happens in annual transfers, reshuffles, mutual transfers, and other similar situations.

However, if you are one of the thousands of employees whose transfers are entirely dependent on replacements, and these replacements are filled by the same employees, your chances of getting the transfer become slim unless you are concerned with all or most of the possibilities.

The “exchange algorithm” will go through the data set and will show all the possibilities in seconds. Therefore, the algorithm supports customer satisfaction while enhancing efficiency, accuracy, and effectiveness of the process.

3. Property exchange (Buying and selling)

Money transactions have curtailed our necessities for exchange.

We usually sell vehicles to buy another. However, we cannot couple this selling with buying easily.

Just imagine buyer(A) of my vehicle may not have owned my expected vehicle to make an exchange. If there is another (B) who is having my expected vehicle and he wants the vehicle of my buyer(A), he simply can sell his vehicle to me and buy my buyer’s(A) vehicle.

Six transactions should take place if the above scenario is implemented.

Just look at the result at the end. There have been three selling and three buying transactions. More importantly the three people have exchanged their vehicles even though it is not head-to-head.

If a proper system is in place to identify this possibility, we can help people

•     To avoid multiple transactions

•     To minimize/eliminate the waiting time for the second transaction

•     To reduce costs for transactions (e.g.: brokerage)

Most often, the secondary vehicle market behaves in this way. Similarly, real estate, houses and other assets too may produce similar results. Therefore, ssumethods.com becomes an effective assets marketing tool.

Newspaper and web classifieds can use this tool to yield a better customer service. A meaningful broker service which may be formulated around the increased opportunities of sale, too can be established to render a targeted customer service.

4. Other (Laboratory)

Online provider:

Depending on the way the algorithm is used, an advertisement based (targeted) business model may result in provider benefits.

Offline provider:

Customers can be provided a paid service e.g.: for mutual transfers and reshuffles

Depending on the use case, chance of finding the relevant requirement may increase.

Certain users who may use the platform to advertise their products, will be benefitted with customer related data for targeted advertising. Some can use the social media platform for making friends and building networks.

As there is no existing method or algorithm mimicking our solution, the systems using our algorithm can progress a long way. However, a strong competition is expected from other equivalent sites such as mutual transfer sites, classified advertisements at initial stages.

As the product is still at its inception, it should be introduced to the community. Gradual increase of demand is expected when the product is accepted by the community at large.

1. Legal restrictions

As the online system may require handling personal data, the providers must adhere to rules and regulations which govern personal data handling. Customers should be made aware on the provider’s policy on privacy and confidentiality of the data they share through the system.

2.  Standards

Best practices of web development should be followed.