際際滷shows by User: GouravAnvekar / http://www.slideshare.net/images/logo.gif 際際滷shows by User: GouravAnvekar / Tue, 21 Apr 2015 22:28:12 GMT 際際滷Share feed for 際際滷shows by User: GouravAnvekar Amazon Innovations /slideshow/amazon-innovations/47269370 anvekaramazoninnovations-150421222812-conversion-gate02
In this presentation, we are outlining some of the innovations that amazon is bringing in the eCommerce industry. If Amazon is successful in implementing these innovation, we will bring drastic change in the world of eCommerce, supply chain and logistics.]]>

In this presentation, we are outlining some of the innovations that amazon is bringing in the eCommerce industry. If Amazon is successful in implementing these innovation, we will bring drastic change in the world of eCommerce, supply chain and logistics.]]>
Tue, 21 Apr 2015 22:28:12 GMT /slideshow/amazon-innovations/47269370 GouravAnvekar@slideshare.net(GouravAnvekar) Amazon Innovations GouravAnvekar In this presentation, we are outlining some of the innovations that amazon is bringing in the eCommerce industry. If Amazon is successful in implementing these innovation, we will bring drastic change in the world of eCommerce, supply chain and logistics. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/anvekaramazoninnovations-150421222812-conversion-gate02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In this presentation, we are outlining some of the innovations that amazon is bringing in the eCommerce industry. If Amazon is successful in implementing these innovation, we will bring drastic change in the world of eCommerce, supply chain and logistics.
Amazon Innovations from Gourav Anvekar
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Sport Obermeyer Case Study /slideshow/sport-obermeyer-case-study/46149456 sportobermeyercase-150322194414-conversion-gate01
Challenges Inaccurate forecasts of retailer demand has become a major issue at Obermeyer. The two major factors that made this task more difficult was the increase in product variety and intense competition in market. Second challenge the company had faced was to allocate production between Hong Kong and China. Although Obermeyer had 1/3 of Parka production in China for 1992, this year the organization insisted on increasing the sales to half. There was difference in quality and labor rate at China and Hong Kong which made allocation decision more difficult. Another challenge the company faced was the larger lead time. The company had supplies of raw materials from various countries which resulted in delayed production time. Organization challenges along with competition from competitor companies were major challenges the company had faced. Analysis From the sales predictions that the six managers forecasted, a coefficient of variation (COV) was determined, which indicated the level of spread of the forecasted data. The COV values were broadly divided into two levels, the low risk group and the high risk group. Every value below 0.2 were considered to be among the lower risk items and all the items above COV value of 0.2 were considered to be of higher risks. Once the risk levels of each item were determined, the quantities of items to be produced in first and second production cycles could be calculated with least risk. 70% of the entire sales forecast for the lower risk items were ordered to be produced. Only 30% of higher risk items were ordered to be produced in the first production cycle. The quantities which amounted to 1200 were manufactured in China and that which were close to 600, were manufactured in Hong Kong in the first production cycle. Once the 80% of the orders were received from the retailers from the Vegas show, a clear picture of the demand forecast could be obtained, according to which the rest of the items could be manufactured either in China or Hong Kong. Referring to exhibit 1, the four products to be produced in China in the first production cycle are: Assault, Seduced, Entice and Electra. These four products have COV less than 0.2. However Gail, Daphne, ISIS, Anita, Teri, Stephanie are produced in Hong Kong for the first production cycle as they have a high level of risk associated with it. Conclusion Short term operational changes o Decrease lead time by obtaining raw materials from geographically closer locations to ensure timely delivery Long term operational changes o Cross scaling Chinese labors which would help the company produce quality and reliable goods at a cheaper price]]>

Challenges Inaccurate forecasts of retailer demand has become a major issue at Obermeyer. The two major factors that made this task more difficult was the increase in product variety and intense competition in market. Second challenge the company had faced was to allocate production between Hong Kong and China. Although Obermeyer had 1/3 of Parka production in China for 1992, this year the organization insisted on increasing the sales to half. There was difference in quality and labor rate at China and Hong Kong which made allocation decision more difficult. Another challenge the company faced was the larger lead time. The company had supplies of raw materials from various countries which resulted in delayed production time. Organization challenges along with competition from competitor companies were major challenges the company had faced. Analysis From the sales predictions that the six managers forecasted, a coefficient of variation (COV) was determined, which indicated the level of spread of the forecasted data. The COV values were broadly divided into two levels, the low risk group and the high risk group. Every value below 0.2 were considered to be among the lower risk items and all the items above COV value of 0.2 were considered to be of higher risks. Once the risk levels of each item were determined, the quantities of items to be produced in first and second production cycles could be calculated with least risk. 70% of the entire sales forecast for the lower risk items were ordered to be produced. Only 30% of higher risk items were ordered to be produced in the first production cycle. The quantities which amounted to 1200 were manufactured in China and that which were close to 600, were manufactured in Hong Kong in the first production cycle. Once the 80% of the orders were received from the retailers from the Vegas show, a clear picture of the demand forecast could be obtained, according to which the rest of the items could be manufactured either in China or Hong Kong. Referring to exhibit 1, the four products to be produced in China in the first production cycle are: Assault, Seduced, Entice and Electra. These four products have COV less than 0.2. However Gail, Daphne, ISIS, Anita, Teri, Stephanie are produced in Hong Kong for the first production cycle as they have a high level of risk associated with it. Conclusion Short term operational changes o Decrease lead time by obtaining raw materials from geographically closer locations to ensure timely delivery Long term operational changes o Cross scaling Chinese labors which would help the company produce quality and reliable goods at a cheaper price]]>
Sun, 22 Mar 2015 19:44:13 GMT /slideshow/sport-obermeyer-case-study/46149456 GouravAnvekar@slideshare.net(GouravAnvekar) Sport Obermeyer Case Study GouravAnvekar Challenges Inaccurate forecasts of retailer demand has become a major issue at Obermeyer. The two major factors that made this task more difficult was the increase in product variety and intense competition in market. Second challenge the company had faced was to allocate production between Hong Kong and China. Although Obermeyer had 1/3 of Parka production in China for 1992, this year the organization insisted on increasing the sales to half. There was difference in quality and labor rate at China and Hong Kong which made allocation decision more difficult. Another challenge the company faced was the larger lead time. The company had supplies of raw materials from various countries which resulted in delayed production time. Organization challenges along with competition from competitor companies were major challenges the company had faced. Analysis From the sales predictions that the six managers forecasted, a coefficient of variation (COV) was determined, which indicated the level of spread of the forecasted data. The COV values were broadly divided into two levels, the low risk group and the high risk group. Every value below 0.2 were considered to be among the lower risk items and all the items above COV value of 0.2 were considered to be of higher risks. Once the risk levels of each item were determined, the quantities of items to be produced in first and second production cycles could be calculated with least risk. 70% of the entire sales forecast for the lower risk items were ordered to be produced. Only 30% of higher risk items were ordered to be produced in the first production cycle. The quantities which amounted to 1200 were manufactured in China and that which were close to 600, were manufactured in Hong Kong in the first production cycle. Once the 80% of the orders were received from the retailers from the Vegas show, a clear picture of the demand forecast could be obtained, according to which the rest of the items could be manufactured either in China or Hong Kong. Referring to exhibit 1, the four products to be produced in China in the first production cycle are: Assault, Seduced, Entice and Electra. These four products have COV less than 0.2. However Gail, Daphne, ISIS, Anita, Teri, Stephanie are produced in Hong Kong for the first production cycle as they have a high level of risk associated with it. Conclusion Short term operational changes o Decrease lead time by obtaining raw materials from geographically closer locations to ensure timely delivery Long term operational changes o Cross scaling Chinese labors which would help the company produce quality and reliable goods at a cheaper price <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/sportobermeyercase-150322194414-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Challenges Inaccurate forecasts of retailer demand has become a major issue at Obermeyer. The two major factors that made this task more difficult was the increase in product variety and intense competition in market. Second challenge the company had faced was to allocate production between Hong Kong and China. Although Obermeyer had 1/3 of Parka production in China for 1992, this year the organization insisted on increasing the sales to half. There was difference in quality and labor rate at China and Hong Kong which made allocation decision more difficult. Another challenge the company faced was the larger lead time. The company had supplies of raw materials from various countries which resulted in delayed production time. Organization challenges along with competition from competitor companies were major challenges the company had faced. Analysis From the sales predictions that the six managers forecasted, a coefficient of variation (COV) was determined, which indicated the level of spread of the forecasted data. The COV values were broadly divided into two levels, the low risk group and the high risk group. Every value below 0.2 were considered to be among the lower risk items and all the items above COV value of 0.2 were considered to be of higher risks. Once the risk levels of each item were determined, the quantities of items to be produced in first and second production cycles could be calculated with least risk. 70% of the entire sales forecast for the lower risk items were ordered to be produced. Only 30% of higher risk items were ordered to be produced in the first production cycle. The quantities which amounted to 1200 were manufactured in China and that which were close to 600, were manufactured in Hong Kong in the first production cycle. Once the 80% of the orders were received from the retailers from the Vegas show, a clear picture of the demand forecast could be obtained, according to which the rest of the items could be manufactured either in China or Hong Kong. Referring to exhibit 1, the four products to be produced in China in the first production cycle are: Assault, Seduced, Entice and Electra. These four products have COV less than 0.2. However Gail, Daphne, ISIS, Anita, Teri, Stephanie are produced in Hong Kong for the first production cycle as they have a high level of risk associated with it. Conclusion Short term operational changes o Decrease lead time by obtaining raw materials from geographically closer locations to ensure timely delivery Long term operational changes o Cross scaling Chinese labors which would help the company produce quality and reliable goods at a cheaper price
Sport Obermeyer Case Study from Gourav Anvekar
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Job Trends Presentation /slideshow/job-trends-presentation/45834521 jobtrendspresentation-150314124901-conversion-gate01
Data Analytics using Business Intelligence tools in this project helped us analyze the trends in the job market based on countries, timelines, job profiles and salaries. This data allows comparison of salaries across countries for different job profiles over time and shows how job market evolved over years.]]>

Data Analytics using Business Intelligence tools in this project helped us analyze the trends in the job market based on countries, timelines, job profiles and salaries. This data allows comparison of salaries across countries for different job profiles over time and shows how job market evolved over years.]]>
Sat, 14 Mar 2015 12:49:01 GMT /slideshow/job-trends-presentation/45834521 GouravAnvekar@slideshare.net(GouravAnvekar) Job Trends Presentation GouravAnvekar Data Analytics using Business Intelligence tools in this project helped us analyze the trends in the job market based on countries, timelines, job profiles and salaries. This data allows comparison of salaries across countries for different job profiles over time and shows how job market evolved over years. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/jobtrendspresentation-150314124901-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Data Analytics using Business Intelligence tools in this project helped us analyze the trends in the job market based on countries, timelines, job profiles and salaries. This data allows comparison of salaries across countries for different job profiles over time and shows how job market evolved over years.
Job Trends Presentation from Gourav Anvekar
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https://cdn.slidesharecdn.com/profile-photo-GouravAnvekar-48x48.jpg?cb=1529106162 With a passion and expertise in web application development, I am a full stack web developer with hands-on experience in end to end web applications development. My current and recent projects include some of the trending web features implemented using responsive web design techniques, SEO techniques, business intelligence and web analytics. I have an undergraduate degree in Computer Science and a Master of Science degree in Information Systems from University of Florida. My professional work experience includes application development using AngularJS, Bootstrap, SharePoint and .NET web API. Specialties: AngularJS, Twitter Bootstrap, SharePoint and .NET web API (using C#). gouravanvekar.com/ https://cdn.slidesharecdn.com/ss_thumbnails/anvekaramazoninnovations-150421222812-conversion-gate02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/amazon-innovations/47269370 Amazon Innovations https://cdn.slidesharecdn.com/ss_thumbnails/sportobermeyercase-150322194414-conversion-gate01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/sport-obermeyer-case-study/46149456 Sport Obermeyer Case S... https://cdn.slidesharecdn.com/ss_thumbnails/jobtrendspresentation-150314124901-conversion-gate01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/job-trends-presentation/45834521 Job Trends Presentation