Baba Pitch 4 : Startup Pitch with Ritesh Banglani, Stellaris Venture Partners and Unicon Baba

16 key contributors on social media

We have contextually curated the conversations about 4th edition of #BabaPitch here.

image credit: @uni_con1

Checkout the contextually curated conversations first two edition of #BabaPitch:

Baba Pitch 1 : https://echai.in/stories/baba-pitch-startup-pitch-with-uni_con1

Baba Pitch 2 : https://echai.in/stories/baba-pitch-2-startup-pitch-with-uni_con1-and-pankaj-jain

Baba Pitch 3 : https://echai.in/stories/baba-pitch-3-startup-pitch-with-sanjay-nath-blume-ventures-unicon-baba

ps: This content is curated by eChai Team from public posts on social media platforms. In case if you have any queries, then email us at [email protected]

Mentors & Panelists

Startup Of the Day - ThirdWach

Introduction

What is transaction fraud and why is it important?

Surely ecom companies have a fraud policy. Which direction do they lean in - remove all suspected fraud including genuine trnsts

So large ecom companies have a fraud policy, but it's manual. Does that mean they have people intercepting transactions real time

Rules-based fraud prevention doesn't sound too smart. Likely filters out genuine transactions too. Machine learning clearly imp

What other automated tools exist to prevent fraud? Surely Amazon et al don't lose 4% of revenue to fraud? What do they use?

Interesting, so they forgo significant revenue to eliminate fraud. Do you have competitors globally that do this?

Does the technology translate well to the Indian ecom context? If it's machine learning it should self-learn imp parameters no?

That may be true for rules-based fraud detection, but an ML system should be agnostic to culture? Can you please explain

The part I really love about your business is the "credit bureau for fraud". Can you explain that?

How do you uniquely identify fraudsters across platforms? People can use multiple mobile numbers and emails

Do you think Aadhar integration can work without breaking the UX? At least for suspect customers? Why not use 3rd party infra?

Is this mainly a solution for small/medium ecom businesses? As companies grow with they go in-house

What do Amazon and Walmart use globally? In-house tech or 3rd party? In the end SMBs will get you usage but not much revenue

What is your revenue model? How will revenue scale with size of customer rather than only number of customers?

Can the same techniques be applied to offline retail? Is fraud a big problem there? Huge if applicable

Notes by Investor ( Ritesh Banglani)

End Of BabaPitch and Thank You Notes

Event Buzz

Mentors & Panelists (3) Startup Of the Day - ThirdWach (2) Introduction (11) What is transaction fraud and why is it important? (12) Surely ecom companies have a fraud policy. Which direction do they lean in - remove all suspected fraud including genuine trnsts (5) So large ecom companies have a fraud policy, but it's manual. Does that mean they have people intercepting transactions real time (4) Rules-based fraud prevention doesn't sound too smart. Likely filters out genuine transactions too. Machine learning clearly imp (1) What other automated tools exist to prevent fraud? Surely Amazon et al don't lose 4% of revenue to fraud? What do they use? (5) Interesting, so they forgo significant revenue to eliminate fraud. Do you have competitors globally that do this? (6) Does the technology translate well to the Indian ecom context? If it's machine learning it should self-learn imp parameters no? (2) That may be true for rules-based fraud detection, but an ML system should be agnostic to culture? Can you please explain (4) The part I really love about your business is the "credit bureau for fraud". Can you explain that? (5) How do you uniquely identify fraudsters across platforms? People can use multiple mobile numbers and emails (2) Do you think Aadhar integration can work without breaking the UX? At least for suspect customers? Why not use 3rd party infra? (4) Is this mainly a solution for small/medium ecom businesses? As companies grow with they go in-house (7) What do Amazon and Walmart use globally? In-house tech or 3rd party? In the end SMBs will get you usage but not much revenue (6) What is your revenue model? How will revenue scale with size of customer rather than only number of customers? (5) Can the same techniques be applied to offline retail? Is fraud a big problem there? Huge if applicable (3) Notes by Investor ( Ritesh Banglani) (13) End Of BabaPitch and Thank You Notes (5) Event Buzz (13)