Indian Market
(Photo : Indian Market.)
  • Indian e-commerce sales crossed Rs 54,000 crore in the first week of the festive season, a 26% increase from 2023.
  • Mobiles, electronics, and consumer durables were the primary contributors, accounting for 75% of total sales.
  • The shift towards quick-commerce is evident, with AI and micro-influencers influencing festive purchases.
  • The future of retail in India is promising, with AI, AR, VR, Blockchain, and IoT reshaping the industry.

The Indian e-commerce industry has witnessed a significant surge in sales during the first week of the festive season, with sales crossing Rs 54,000 crore, accounting for about 55% of the total sales projected for the next month. This data, provided by Datum Intelligence, a market research firm focused on consumer technology, indicates a 26% increase in sales compared to the same period in 2023.

The primary contributors to this sales boom were mobiles, electronics, and consumer durables, home and general merchandise categories, which accounted for 75% of the total sales. In tier 2 and 3 cities, smartphones and TVs were the most popular, accounting for over 70% of sales. The festive month, which started on September 26 and will continue till November 3, is expected to generate sales of Rs 1 lakh crore.

The report also highlighted that sales of fashion, grocery, beauty, and personal care items have seen an increase of 2-4 times. Categories like toys, books, and kitchen essentials saw a 2-5 times increase in the number of orders during the first week.

The Shift Towards Quick-Commerce and the Role of Technology

The consumer focus is now shifting towards quick-commerce, with lower average selling price categories playing a key role, including grocery, beauty, and personal care. Artificial Intelligence (AI), quick-commerce, and the rise of micro-influencers are some factors playing a leading role in influencing festive purchases this year. Another report suggested that the festive period, which ends after Diwali, is expected to see more than 35 million smartphones being sold this year, a growth of 3% YoY in terms of volume and 9% YoY in terms of value.

The ultra-premium segment (Rs 45,000 and above) saw 12% YoY growth during the first wave of festive sales, thanks to Apple and Samsung. The festive season contributes to 20-25% of the smartphone annual sales. Apple's models iPhone 15 and iPhone 13 were the highest performing premium smartphones. For Samsung, deals on the Galaxy S23, S23 Ultra, and S23 FE boosted premium volumes.

The Indian retail market is also witnessing a shift in consumer behavior. Speed of delivery is a major motivator for quick commerce users, with 36% prioritizing faster delivery over discounts, which appeal to 32% of shoppers. This trend is expected to continue, with the retail landscape undergoing a seismic shift, largely propelled by technological advancements.

The Future of Retail and the Role of AI

Retailers are leveraging technology innovations to enhance efficiency while remaining steadfast in their commitment to customer centricity. The future of retail is poised to ride the technology wave, further bridging the physical and digital realms. Retailers are looking beyond mere product sales on shelves, aspiring to build comprehensive ecosystems that encompass services spanning health, finance, entertainment, and more capitalizing on digitization and technology's ability to offer enhanced accessibility to consumers.

In this era of technological transformation, barriers between industries are blurring, enabling retailers and other operators to seize opportunities rapidly by engaging directly with consumers. Some of the technologies that are scripting this transformation and will continue to do so in the future are Artificial Intelligence (AI), Augmented Reality (AR), Virtual Reality (VR), Blockchain, Internet of Things (IoT), and others.

These multifaceted technologies promise to revolutionize both physical and virtual operations and reshape customer relations. The ability of Generative AI to work with Large Language Models applying in-context learning to learn from analogy and generate responses based on enhanced understanding of context, improved reasoning, inference skills, and tailored problem-solving capabilities has come out as a potent force for businesses.