CLEAN PROFESSIONAL CLEANING

Mobile Dry Cleaning Business

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Another uninteresting photo...blah :( I can't wait to get back to more fun photog. Today I was working on a community assessment project with my school friend. I was in charge of snapping boring photos of the community. We came across this business as we were heading in for lunch a few doors down. I can't help but think this is sort of inappropriately funny. Beaver's Cleaners?

On a side note...I don't even know which set this photo should go to. haha

IMG_6487 - The mandatory "before" picture taken with my delay-shot option, a nice feature on the camera! Someone else commented on the prominent location of the "No Tresspassing" sign, trust me, we were not going anywhere we'd get in trouble for. The fencing was around a parking lot next to an abandoned business. That was off limits, but the field, it was an INVITATION TO ADVENTURE!

This econometric study covers the latent demand outlook for dry cleaning and laundry services excluding coin-operated services across the states, union territories and cities of India. Latent demand (in millions of U.S. dollars), or potential industry earnings (P.I.E.) estimates are given across over 5,000 cities in India. For each city in question, the percent share the city is of it's state or union territory and of India as a whole is reported. These comparative benchmarks allow the reader to quickly gauge a city vis-a-vis others. This statistical approach can prove very useful to distribution and/or sales force strategies. Using econometric models which project fundamental economic dynamics within each state or union territory and city, latent demand estimates are created for dry cleaning and laundry services excluding coin-operated services. This report does not discuss the specific players in the market serving the latent demand, nor specific details at the product level. The study also does not consider short-term cyclicalities that might affect realized sales. The study, therefore, is strategic in nature, taking an aggregate and long-run view, irrespective of the players or products involved.

This study does not report actual sales data (which are simply unavailable, in a comparable or consistent manner in virtually all of the cities in India). This study gives, however, my estimates for the latent demand, or the P.I.E., for dry cleaning and laundry services excluding coin-operated services in India. It also shows how the P.I.E. is divided and concentrated across the cities and regional markets of India. For each state or union territory, I also show my estimates of how the P.I.E. grows over time. In order to make these estimates, a multi-stage methodology was employed that is often taught in courses on strategic planning at graduate schools of business.