The 'Goldplus Nano' Competition Makes an Inexpensive Auto Exorbitant
Amelia Roblin — November 13, 2010 — Autos
References: deccanchronicle & bit.ly
The world's cheapest car, the 'Tata Nano,' is to become the world's most expensive through the 'Goldplus Nano' competition headed by Titan Industries.
With an opulent history in Indian jewelry design for 5,000 years, Goldplus has challenged designers to gild embellish the low-cost coupe with all the gold and glitz they fancy. The featured images reveal the top three gold-plated entries in the 'Goldplus Nano' competition, with the winner being chosen by the public.
With an opulent history in Indian jewelry design for 5,000 years, Goldplus has challenged designers to gild embellish the low-cost coupe with all the gold and glitz they fancy. The featured images reveal the top three gold-plated entries in the 'Goldplus Nano' competition, with the winner being chosen by the public.
Trend Themes
1. Gold-plated Cars - The trend of gold-plating cars presents an opportunity for luxury car manufacturers to offer high-end customization options.
2. Affordable Luxury - The 'Goldplus Nano' competition highlights the trend of transforming inexpensive products into exclusive and expensive ones, opening up opportunities for other industries to cater to luxury demands.
3. Public Choice Design Competitions - The 'Goldplus Nano' competition showcases the growing trend of involving the public in choosing designs, offering innovative ways for companies to engage with their customers.
Industry Implications
1. Automotive - The automotive industry can capitalize on the gold-plated car trend by offering customized luxury options to high-end customers.
2. Jewelry - The 'Goldplus Nano' competition creates an opportunity for the jewelry industry to collaborate with car manufacturers and create unique gold-plated designs.
3. Marketing and PR - The trend of public choice design competitions presents an opportunity for marketing and PR industries to leverage customer engagement by involving the public in decision-making processes.
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