Sunday's THOUGHTFUL Post : 𝗙𝗿𝗼𝗺 𝗶𝗱𝗲𝗮 𝘁𝗼 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗶𝗺𝗽𝗮𝗰𝘁, 𝗮𝗻𝗱 𝗼𝘂𝗿 𝗳𝗶𝗿𝘀𝘁 𝗿𝗼𝘂𝗻𝗱 𝗼𝗳 𝗳𝘂𝗻𝗱𝗶𝗻𝗴

Sunday's THOUGHTFUL Post

𝗙𝗿𝗼𝗺 𝗶𝗱𝗲𝗮 𝘁𝗼 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗶𝗺𝗽𝗮𝗰𝘁, 𝗮𝗻𝗱 𝗼𝘂𝗿 𝗳𝗶𝗿𝘀𝘁 𝗿𝗼𝘂𝗻𝗱 𝗼𝗳 𝗳𝘂𝗻𝗱𝗶𝗻𝗴

After years building e-commerce and consumer products (including a long, formative stretch at Rediff), one thing has stayed consistent: shoppers don’t think in filters or perfect keywords, they think about the small details that shape what they want. And most websites still struggle with that.

With mPrompto, we’re moving beyond relying only on search, sort and filter, which often lead to keyword-specific search, overwhelming listings and clumsy filters. We are adding natural interactions that help shoppers find exactly what they want.

And in a world where brands are spending more than ever to drive paid traffic to their websites, the real challenge is making those visits count by increasing interaction time and guiding shoppers to the right choices.

While exploring the problem, we looked at how some of the leading backpack brands around the world help you choose a laptop bag. Many had filters that were either oversimplified or overly complex, but rarely mapped with how people actually decide. Because when you help a friend pick a backpack, you don’t just ask “Black or Blue?” You try to understand:

- Does she travel by air often?

- What level of weather protection does she need?

- Slim profile or high-capacity look?

These are the questions real buyers actually think about but rarely get answers to, and they’re exactly the kinds of prompts mPrompto surfaces at the right moments.

Over the last 18 months, working with early partners helped us refine this approach and strengthen the foundation for what we call prompt-led shopping, meaning interactions that feel closer to how people naturally evaluate choices.

Under the hood, mPrompto uses machine learning to understand what shoppers mean, and through our proprietary technology we are able to surface intelligent prompts to better understand shopper intent and bring them the most relevant options, without using an annoying chatbot interface or hallucinating LLM answers.

Today, Ketan Kasabe and I are excited to share two milestones close to every bootstrapped founder’s heart: our first customer success story and our first round of funding.

𝗗𝗿𝗶𝘃𝗶𝗻𝗴 𝗰𝗼𝗻𝘃𝗲𝗿𝘀𝗶𝗼𝗻𝘀

Gardenia, a popular beauty and personal care brand, saw increased website engagement after deploying mPrompto, resulting in 50% more add-to-carts, and a 2X rise in conversions.

This funding round matters because our early backers committed after seeing the product live, not after reading a deck.

If we can help shoppers find what they actually want (even when half the catalogue looks like the same backpack), we’re prompting shoppers in the right direction.

Godspeed !!

source : Sumit Rajwade