<aside> 👑 Airboxr’s fundamental thesis is that business leaders in comparable companies make similar decisions. While they rely on data for these decisions, they are not data analysts themselves. These decisions have been made by thousands of peers in the past, so there is no need for them to start from scratch.

</aside>

Product Video

https://youtu.be/JGiEMUvCiKI

Link to video: https://youtu.be/JGiEMUvCiKI

Who we are.

We are a team of second-time founders:

• Saptarshi launched India’s first online recommerce marketplace, ran big-data studies for F100 companies, and advised deep-tech startups on GTM and fundraising.
  • Worked with F100 companies for 8 years as a management consultant on their big data studies. Started as an analyst, then built a data analytics team in India and Singapore.
  • Former founder of a DTC re-commerce business working with Amazon, Ingram Micro, Xiaomi, and others to manage and liquidate their customer returns. Took it to ~$10m in annual sales on a $3.5m raise, and expanded to 3 locations with 250 people.
  • Coached over 300 deep tech founders at Entrepreneur First.
  • Launched a SEA-founders community with 1000+ members.
• Shubham designed data infrastructure for Bangladesh’s biggest online grocery delivery brand.
  • Designed data infrastructure for Bangladesh’s biggest e-grocery marketplace, a YC company.
  • Part of the selective Entrepreneur First cohort in Singapore.
• Salima, our Director of Product Marketing is an ex-entrepreneur, influencer, and community-builder:
  • Built independent artist project to over 7,000 followers and 900k streams on Spotify.
  • Content creator and community builder, growing a 15,000 strong following across Instagram, YouTube, and Spotify
  • Consults with global e-commerce brands across five continents
  • Hosted in-person events in four major cities worldwide, including Singapore, New York, and Rio de Janeiro

The problem.

Business leaders ****are tasked with making decisions driven by data. But they aren’t data analysts themselves. They depend on external tools, spreadsheets, and—as they grow in their careers—on data analysts. Within direct-to-consumer businesses, the problem is more pronounced by the fact that data is spread across multiple sources: sales channels (like Shopify, Woocommerce, and Amazon), ad channels (like Meta, Google, and TikTok), and email platforms etc. Worse, a large proportion of this audience often doesn’t even know what questions to ask to find the right answers.

This leads to:

• Manual data wrangling and busywork to collate data into spreadsheets.
• Repeating the process every week for weekly reviews.
• Decision fatigue within key decision-makers: they eventually don’t make a decision at all, or make a gut-based decision without depending on data.

How do we solve it?