Amazon sees an increase in exports from category 2-3 cities

In total, exports from 25 cities exceeded $10 billion in sales in 2022.

“Amazon Global Selling has a seller presence in over 200 cities and the cities that make $10 million are the ones that people don’t think of primarily for exports and especially e-commerce exports. Sriganganagar in Rajasthan, Kolhapur in Maharashtra and Erode in Tamil Nadu are some of the places. This gives us confidence that this is an all-India trend,” said Bhupen Wakankar – Director of Global Trade Amazon India.

Amazon launched the Amazon Global selling program in 2015 and has 1,25,000 exporters on the platform. The company expects cumulative exports of US$20 billion by 2025 and exports of US$8 billion by the end of 2023.

In 2022, the company stated that Indian brands with “Made in India” products have gained popularity in the international market, including Indus Cosmeceuticals Private Limited (beauty and wellness), Aadvik Foods (consumer goods), Native Fab (home textiles) and SG Enterprises (toys). ), Handicraft Home (home decoration) and Luxmi Estates

The company saw toy categories grow by over 50 percent year-on-year in 2022, but it also saw growth in exports of personal care products and essential oils. The beauty segment grew 25 percent year-on-year, while the kitchen segment saw 35 percent year-on-year growth.

“We are seeing strong diversification over the last 18 to 24 months, with categories such as Ayurvedic products, essential oils, health and beauty care products emerging and growing faster,” he said.

While the UK, US and Europe are stable markets for exports from India, the company is seeing demand for exports from emerging markets.

“Over the last 12 to 17 months, three to four markets including the Middle East’s United Arab Emirates, Australia and Japan have grown much faster from an Indian exporter’s perspective than from an established perspective,” Bhupen said.

Additionally, the company uses machine learning to help its exporters sell products in the international market: “It is a tedious task for a human to list their products in different countries with translations in multiple languages. We have built a pillar that supports machine learning and can enable cross-listing in multiple languages. If the entry is in English, we can translate English into the UK, Australian, German and Japanese,” added Bhupen Wakankar.

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