ThirdWatch

Hi 👋 I am Shashank, Co-Founder of Thirdwatch. Here's some brief intro about Thirdwatch. E-commerce space is growing day over day but this growth is slowed down by frauds/abuses like- a) RTO / NDR b) RVP fraud c) Payment frauds d) Promo Code Abuse & makes company loose huge amounts both in terms of MONEY and INVENTORY. Our AI 'MITRA' evaluates each transaction in real time to generate flags with details on risk parameters and risk score. Green Flag - Continue in normal process flow Red Flag - On hold for review MITRA generates risk score using 200+ risk parameters & takes only 200 milli seconds for generating flags like: a) Complete Address Profiling b) Device Finger Printing c) Proxy IP used d) User Behaviour e) Anomaly Detection f ) Network effects We have been successful in reducing it by more than 80% for our current clients which include top e commerce company of India and many more major e-commerce companies. Major Parameters of AI - 1. Network Effects - We are with major e-commerce players in India and if a fraudulent fresh user attempts any fraud with Reliance Retail, without taking names of the client, we raise network flag for people who are doing frauds/abuses across platforms. 2. Customisation - we can create multiple automation layers to accommodate your learning and detect special use cases that you may be facing or multiple checks you an implement in real time and see results from next transaction. 3. User Behaviour - Once integrated, our ML algorithms learn, what is a genuine behaviour on your platform and what is fraudulent user behaviour on your platform and can detect suspicious transactions in our Anomaly Detection/ Outlier Detection Algorithm. 4. Identity Cluster - We have a very strong device fingerprinting algorithm and we can give you a mapping of all the accounts a person is creating, even if he is using incognito mode or changing his android id in case of app. Reach us at hello@thirdwatch.ai or visit : https://thirdwatch.ai/