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Key of Developing R Code: Batch Forecasting

Forecasting is a common technique used in several companies to make predictions for the future. There are multiple methods of forecasting such as time series forecasting, multivariate forecasting, etc. In each of these methods there are techniques such as Moving Average (MA), ARIMA, ARMA, ARCH, GARCH, etc.

There are several packages and algorithms available for forecasting in every data mining tool such as SAS, SPSS, etc. These packages help in accomplishing small scale forecasting; here 'small scale' means one or few forecasts. One can perform model fitting, check auto correlations and finally decide on a model based on accuracy metrics (such as MAPE, RMSE and so on) and go ahead with forecasting future values. However, some of the questions one needs to contemplate at this stage are:

1. What do we do about large scale forecasts? 2. First, what does large scale forecasting mean? 3. Why is it complicated/cumbersome? 4. Most importantly, how does one scale up my code or algorithm to fit in such situations.

In the next few paragraphs I discuss examples of batch forecasting. The GitHub link for the code is given at the end. Please go through the code on how I scaled up the code to solve batch forecasting problem using R. I have given detailed comments in the code to make it comprehensible.

Have you ever Googled "DMV office near me" on your mobile? Google presents a distribution chart of the traffic to the DMV on hourly basis. This can help you plan your visits to the DMV. Google gives forecasted values or may be the past distribution. This also helps the DMV if they want to get an estimate of the staff required on hourly basis based on demand.

Let's say the DMV has 2 broad types of services: Licenses and Registrations, and they want to forecast the demand on hourly basis for the next 7 days. The number of forecasts gets multiplied in this manner: 7 days x 2 products x 24 hours = 336 forecasts

Let's discuss another instance. Suppose if a small retailer wants to forecast sales of the company, s/he can use any of the above mentioned techniques. However, if one wants to do forecasting on a granular level, such as product-wise or region-wise forecasting and if the number of products that the retailer carries is high, imagine the number of forecasts that one has to make. Even for a small retailer selling 100 SKUs (Stock Keeping Unit, a fancy word for individual product in retail industry) and forecasting sales for the next one week on a daily basis, the number of forecasts obtained are: 100 x 7 = 700 forecasts.

Imagine the retailer has thousands of products and wants to forecast hourly demand or store-wide demand, in such cases the volume of the forecasts will explode. To handle such kind of situations the algorithms available in SAS and SPSS may not be a good idea. And to solve these problems separate suits for forecasting were developed, such as SAS Forecast Studio and SPSS forecasting. But what if you are an open source user?

In that case Forecast package in R can be very handy. In fact, a single time series is few lines of code in R. My goal here is to explain how that gets multiplied in case of batch forecasting. I have developed a sample mock-up retail data and shown the code scaling up. Please note that the objective is not to write about time series forecasting, but to understand how a bigger problem can be solved by breaking it into several smaller pieces.

At each stage of the code I attempted one programming challenge. At the end I posed some questions and then in the next stage I solved them. This is to help you with structural thinking in programming and problem solving using coding. Here is the link for the code. https://github.com/simhadri1/Batch-Forecasting--Stage-1 Let me know if you have any further suggestions. Thank you.

About Rang Technologies: Headquartered in New Jersey, Rang Technologies has dedicated over a decade delivering innovative solutions and best talent to help businesses get the most out of the latest technologies in their digital transformation journey. Read More...

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Different Types of Trademark And Its Importance

Trademark is the unified symbol of logos, design, phrases. This trademark is a symbol of a particular business. This trademark culture was found in the late Roman Empire itself. Later the trademark legislation was passed in the England parliament house itself. In India Trademark Act 1940 was the first law on Trademark law in India. Now let us see the types of Trademarks. Product mark, service mark, collective mark, certification mark, shape marks, pattern mark, sound mark, wordmark, device mark, color mark, geographical indicators.

Product mark

The product mark is similar to the trademark, but it refers only to the goods and not the services. It distinguishes the products from one to the other. For example, Cadburys has a different symbol and the milky bar has a different symbol. They differentiate the products.

Service Mark

As the name suggests, the service mark refers to the services and not the products. Services like courier or computer assembling services can be differentiated from each other. The service mark is denoted by the symbol ‘SM’. For example Google, Apple are some of the examples.

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This type of trademark is used by a group of companies. The collective trademark describes a particular product’s characteristics.

Certification Mark

This mark is given as the certificate for the product. It ensures the safety and quality of the products. For example, toys, furniture, and food products have a certification mark on them. They imply to the customers that the products have gone through the quality and audit process.

Shape marks

Any different shape of the product can be registered. The unique shape of the product can be registered. It is called the shape mark. For example, the shapes of the bottle, shapes of the chocolates differ and it must be registered.

Pattern mark

The pattern mark specifies some unique features of the patterns of the product. The pattern mark it gets registered in the minds of the people, it can be registered. For example, Caravan is a radio. It is different from another conventional radio pattern. When you think of the name Caravan, you will get a picture of the new pattern.

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The sound mark refers to the unique sound pattern and it should be registered because the sound mark should not be copied or used by others. For example, 20th Century Fox studios have a different sound and the MGM has a different sound pattern.

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The device mark refers to the logo or the picture. It is the pictorial representation of the product or the service. For example, Nestle has a unique symbol nest, Twitter has a symbol bluebird. So this is called the device mark.

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The wordmark comprises of the alphabets and the letters. For example, GOOGLE and INFOSYS. Google has different colors on them in general and such colors should also be registered. Such a mark is called the color mark.

Geographical indicator

The geographical indications are used on the products. It represents quality and reputation.

How can I use the TM symbol

The trademark symbol is TM. The trademark symbol should be placed on the upper right corner of the mark. It should be placed as superscript. Usually, the TM symbol is an unregistered mark only. If the product covers both service and product, then you should use the TM Trademark symbol. Only after registration, you may get the R symbol which is encircled. Do not overuse the symbol in any of the documents. Placement is not in the law, but you should know the norms regarding it.

What are the public databases to search for TM?

The Indian Trademark Registry database is used to search for the trademark symbols. The trademark search is divided into three categories. They are word mark, Vienna code, and phonetic. Apart from this, the USPTO trademark search system is available. TESS (Trademark Electronic Search System). WIPO is the global trademark database search is available.

How is it possible to register a smell as a trademark in the international area?

Yes!! You read it right. You can register the smell. Trademark is a sign of quality. The sound itself trademarked, then next comes the smell and the taste too. In the United Kingdom, the first smell was registered. Sumitomo Rubber for floral fragrance as applied to vehicle tires. In later 1990 smell was registered in the US. This mark was used for fresh, fragrance, and high impact of Plumeria blossoms which was used in the sewing thread. They appeared in front of USPTO and TTAD the smell was registered.

The process of registration

The process involves deciding the logo or name or company name and you have to do the trademark search. Then you have to file the trademark application. Then it has to go through examination, publication, and then the registration. The online process is also available. It can be registered in the e-filing gateway which is present on the official website. Of course, it is a lengthy process. You can hire a trademark attorney. And you should be careful in not investing in the weak trademarks.

Benefits

When the trademark registration is done, then you will have the exclusive right and the identification of the product or the service you carry out. It gives you all the legal protection. When it is done you will have a good reputation and recognition. You can have this recognition globally. There will be a protection to the infringement claims. If anyone uses the symbol R without the registration then it is illegal and you can sue the person. Anything that is not descriptive and which is not distinctive can never be registered under trademark registration. The trademark that is well known also cannot be registered, so careful measures should be taken to register the trademarks. Or else it will result in a huge loss of money and your hard work. So proper guidance is needed and carefully you should do the trademark registration. Always the unregistered trademark has to be proved in which area. Also, ha should prove the validity of the mark. So just with the TM symbol, you cannot run the business.

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