expected total sales of sundance direct sales

Category: Essay topics for students,
Words: 961 | Published: 01.28.20 | Views: 516 | Download now


Advertisements, signage and attention-grabbing advertisement paraphernalia of different immediate selling companies are sprouting everywhere, either neighborhood or worldwide. Many companies proven names and compete to prolong their very own standing in the business world. Defined in businessdictionary. com, direct selling is a one on one presentation, demonstration, and sale for products or services, generally at the office or home of a potential customer by the impartial direct sales staff. Direct Advertising contributes significantly on the economic development of the nation; it manifests the Philippine spirit of enterprise and self-reliance.

This industry benefits greater acceptance today than its early years.

One of the popular direct selling corporations in the Israel is Sundance Direct Sales (Footworks Marketing Corporation). It was set up on August 1999. Ahead of they came with the company name, that they first considered fancy German names however they had decided on an original and simply remembered name- SUNDANCE. It was originated from the Hollywood movie, Butch Casedy and the Sundance Kid. Mister. Peter Yu is the taking care of director of Sundance Direct Sales.

It is a trend clothing and shoe retailing company with wide knowledge in manufacturing industry. This company is engaged in offering of clothes, sneakers, bags, cosmetics, accessories and infant and children lines. Currently, it can be partnered with Maybelline Nyc, Afficionado and I2I eyeglasses. In its doze successful many years of existence, it has approximately five-hundred, 000 sellers and consistently increasing. That produced 16 branches and 400 regional outlets nationwide.

The quest of Sundance Direct Sales in helping fellowmen should be to bring common of superiority to all areas of the world. Rather than their quest, they have reached and offered international countries such as HongKong, Dubai, UAE, Qatar, Oman, Abu Dhabi, Singapore.

Sundance Direct Sales is an industry that continuously advancing, competing and creating new styles of trend, awarding all of them as the very best Direct Providing brand of Clothing.


A large number of business organizations applied tools or techniques, just like quantitative forecasting, that helped them determine the likely result of the business enterprise operation later on. Quantitative foretelling of technique facets its prediction from earlier data. This tool helps the manager or the decision manufacturer to accomplish their very own organizational desired goals. Specifically, if a company gets the record of its past 30-year sales, then it can project the sales for the next year which may help him to determine the products on hand levels, booking of creation and the like.

On the other hand either quantitatively or qualitatively, forecasting is not 100% certain; it has questions so we must measure the reliability of the outlook. Forecast precision can be evaluate by CRAZY (mean complete deviation) MSE (mean rectangular error) and MAPE (mean absolute percentage error); the very best model depend upon which measure. The aim of this study is to task the total revenue for one of the Sundance divisions “Calamba -2011 so that the branch manager can easily have formulations in their inventory levels.

To acquire the projected total revenue of Sundance Direct Sales Calamba branch in 2011, time-series regression and smoothing linear trends were used. Time-series regression is the process of estimating the partnership between two variables- within our case some sales per month. Smoothing geradlinig trends is simply the same with simple smoothing though the intercept plus the slope with the trend collection are constantly adjusted in each period. Two strategies were used for comparative purposes. The data were also tested pertaining to occurrence of seasonality. MAD was used to judge the forecast accuracy seeing that most of the problems were too large. It measured the problems equally. MSE is not advisable just for this kind of trouble because it will result to an extremely large number.

Your data collected was a 3-year regular monthly sales from the Sundance Direct Sales Calamba branch for the years: 2008, 2009 and 2010. The product sales representative allowed the author to have the data with proper and legal approval. A hard replicate of the info is inherited to the author (Appendix A).

To analyze the information for happening of seasonality, the data were graphed initial. In figure 1 is an illustration of the comparison of the revenue in the 36 months of procedure of Sundance Direct Sales “CALAMBA.

Figure 1 . Monthly Sales of Sundance Direct Sales ” Calamba in 2008, 2009 and 2010.

Seasonal period series repeats over a particular period including day, regular monthly, quarterly or yearly. In respect to Levin, to determine seasonality two queries must be pleased. First, will be the peaks and troughs steady? Looking back in Figure one particular, there are highs and troughs in yr 2009 and year 2010 that are regular but if you look at 12 months 2008 it did not adhere to those maximum and troughs. Second, there is certainly an explanation intended for the seasonal pattern? Since there is no consistency inside the trends with the data factors, then we can not answer this question any more. Both queries were not happy so we are able to say that the info didn’t exhibit seasonality. We can now proceed in forecasting the revenue using the two methods described earlier.

Foretelling of models happen to be evaluated simply by dividing the samples in two parts: warm-up samples and forecast samples. Get ready samples prefer fit the forecasting model while outlook samples will be for assessment the version. In a number of years series, data are split up into half.

Employing time-series regression, warm-up samples ” times 1-18 “was used to get the equation the best-fitting craze line. Using the data in Appendix W, it was determined that the equation for the best-fitted collection isFt = 2340883. 46 + 3800. 51(t).


< Prev post Next post >