Deliver more orders
Identify incomplete and undeliverable addresses so that you can edit/update them and get your orders successfully delivered to your shoppers
Identify Impulse Purchases
Detect irregular purchase patterns which indicates a high probability of RTO, return or cancellation and reduce your shipping costs
Flag Fraud Orders
Cancel fake orders by analysing multiple parameters based on your shopper's account and historical patterns and minimise your fraud losses
About Thirdwatch: Reduce RTO with AI
Thirdwatch is an AI-powered offering that enables ecommerce online sellers to successfully deliver more orders and reduce Return-To-Origin (RTO) losses. Thirdwatch also enables Shopify store owners to successfully detect fraud orders thus reducing fraud losses.
How does Thirdwatch help boost revenue?
Detect incomplete addresses, speak to your customers and update the address before shipping the orders. This will help you in delivering more orders successfully.
Identify orders which have a high probability of RTO. With every RTO order, you incur forward and return logistics cost along with blocked inventory costs. You can now take an informed decision on whether or not to cancel such orders thus reducing your RTO losses.
Detect fraudulent orders so that you can cancel them before shipping thus saving money.
How does Thirdwatch work?
Once the App is installed, the AI powered solution captures 200+ parameters from the store and leverages various machine learning and graph search algorithms to flag an order with a high risk of RTO. Thirdwatch also provides risk reasons like Incorrect address, historically high RTO %, incorrect email ID/mobile number, impulse purchase patterns etc with every flagged order. This enables you to either cancel or take corrective actions so that orders are successfully delivered.
Some of the parametres that Thirdwatch captures from the store and works on are shipping Address Profile, Device Fingerprint, IP Address, Buyer's history and navigation behaviour etc
The power of the Thirdwatch Dashboard
- Review red flagged orders in detail along with the risk reasons and then approve or reject the order.
- Add more rules that suits your business such as flagging orders from first time customers or Cash on delivery above a certain amount etc.
- With dashboard analytics, get insights into your business’s shipping patterns, fraud patterns, RTO patterns etc so that you know how you are reducing costs and where you can save more
Introducing Order Confirmations
With Thirdwatch you can also send automated messages via WhatsApp/SMS to the buyers of the red flagged orders to get an additional layer of confirmation before you can approve the orders and ship them. You can also convert Cash on Delivery orders into prepaid orders by sending your customers payment links on Thirdwatch. This will additionally help you in increasing your prepaid orders thus reducing the probability of RTO. What’s more, you can directly give discounts to your users via payment links to incentivize them to make the payment upfront.
You can go live in less than 2 minutes!
External charges may apply. These charges are billed by the external provider and won’t appear on your Shopify invoice.
Free to install
Free trial for the 1st month. Charges (0.3%) of the order value applicable after the end of free trial period.
Most recent reviews
With the help of Third watch its easier now to recognize fake & suspicious orders. Thanks Thirdwatch team
Glad that we could be of help you in identifying fake and suspicious orders. Thank you for your kind words.
Thirdwatch By Razorpay is a great tool to analyse whether the particular order is worth considering or not! If you are a solo entrepreneur, it puts you in the position to call up the customer and take a verification call in the case of Cash On delivery orders!
Thank you for your kind words. We want to enable businesses like you to successfully deliver more orders.
good app..gives accurate data of each and every fraud order. As i do Indian ecom and get 90% COD order, it helps to reduce the returns.
Thanks for your review. Glad we could help you reduce returns.