The changing trajectory of e-commerce in India

"The pandemic was a period of uncertainty. What was interesting is that whoever was able to address it with a lot of agility is someone who gained a lot during this period" Ramneek Khurana - Cofounder of Lenskart

With the surging traction towards the D2C model, companies had to reform the incentives given to their customers. Additional resources were diverted towards technology and cloud-based systems as there was a need to incorporate innovative solutions.

Change in consumer behavior

The e-commerce sector had been revolutionizing its online infrastructure but a significant adoption of these features was seen post-COVID-19. Instant deliveries, free returns, customization, and loyalty programs are the many perks that have made our customers habitual to interacting with brands from the comfort of their homes.

“Disruptions may be uninitiated but they end up impacting things in a very different way.”  Amit Chaudhary - CTO at Ecom Express

Experimenting with the products and services of online brands has significantly increased not only in the urban areas but also in the interior regions of India. With so many innovative businesses coming up, there is zero tolerance for low-quality products. Therefore the only way to stand out in this competitive environment is by pacing up change.

Scope of Personalization

Customer centricity has become crucial for businesses because of their need to be unique. Personalization is the key as customers need everything on the get-go. From products and communication to user experience, everything can be personalized with the availability of optimum data. It leads to targeting the right customer base with the right products for them, thereby increasing the conversion rate, multifold.

A vast variety of products confuse the customer, therefore there is a need to give them personalized recommendations. This is where data management, AI/ML & predictive analytics play a major role. It gives businesses insight into customers regarding their behaviour, past purchases, interaction with brands, and a whole depository of information at their disposal. Machine learning systems like AWS personalize have been based on decades of experience which eliminates the need for trial and error methods.

Effective personalization strategy

An effective data management system assists in curating authentic information. This data then aids in allocating optimum resources to target prospective customers.

“Showing the customer the right content, depending on the right context at the right time.”

Mahesh Wandichalan - CTO at Book My Show

Making a conversion is not the end of the road, it has to be backed by a reliable supply chain to enhance the overall experience of the customers. Businesses at times tend to over-personalize the experience often leading to burnout.

"Burnout is finding the right ratio for the explore part more than the exploit part"

Satinder Singh - Head Solution Architect at AWS-DNB

Personalization is impactful only when the right balance is struck.

What lies ahead?

Data management has a vast scope that is being explored regarding post-sales experience. It is also paving the way for many new-age concepts such as social commerce, immersive real-time experience, blockchain NFTs, and drone technology for deliveries. New players are probing into these new-age technologies to enter the market. Hence, existing businesses need to update their know-how to survive the competition constantly.

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