Sift Case Studies How ChowNow started focusing on growth instead of fraud

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	How ChowNow started focusing on growth instead of fraud Sift

How ChowNow started focusing on growth instead of fraud

Sift

Technology Category	Application Infrastructure & Middleware - Data Exchange & Integration
Applicable Industries	Food & Beverage
Applicable Functions	Business Operation Sales & Marketing
Use Cases	Fraud Detection Supply Chain Visibility
Services	System Integration
Challenge	ChowNow, an online ordering platform for restaurants, was facing a growing problem of fraud. As the business expanded, so did the losses from chargebacks, which had grown to 1% of revenue. Fraudsters were actively sharing tips on how to defraud ChowNow, and certain locations like Miami, Atlanta, New York, and Chicago emerged as significant sources of fraud. This situation was discouraging growth in large markets. The company was spending an increasing amount of time fighting chargebacks, and was considering hiring a full-time team to tackle the problem. As a growing business, ChowNow didn’t want to restrict sales or spend too much on fraud operations, but couldn’t continue operating with growing revenue loss. Read More
About Customer	ChowNow is a platform designed to help restaurants meet growing customer demands for faster, easier ways to order their meals. They create online ordering channels on both web and mobile, so their growing base of 9,000 restaurant customers can compete and win in an increasingly digital world. With ChowNow’s platform, restaurants streamline pickup & delivery and accept more orders than ever before. The company's goal is to make online ordering easy, so restaurants can focus on what they do best: cooking delicious food and connecting with their customers. Read More
Solution	ChowNow turned to Sift, a fraud detection solution, and tasked two engineers with the integration. It took one month to get set up, and they saw results as soon as it was implemented. Sift was able to pick up on repeat offenders and catch fraudsters who previously had gotten through. Shortly after integration, they set up Workflows, Sift’s automation feature, which enabled them to take action on orders in real-time, a critical part of mitigating risk for their on-demand business. They also used Workflows to build logic incorporating the riskiness of various regions, so they could easily adjust acceptance rates without affecting order volume from good locations. ChowNow also uses Sift Insights, a reporting capability, to monitor order growth as well as block rates and chargeback rates. Read More Log in to view content
Contents

Technology Category

Application Infrastructure & Middleware - Data Exchange & Integration

Applicable Industries

Food & Beverage

Applicable Functions

Business Operation

Sales & Marketing

Use Cases

Fraud Detection

Supply Chain Visibility

Services

System Integration

Challenge

ChowNow, an online ordering platform for restaurants, was facing a growing problem of fraud. As the business expanded, so did the losses from chargebacks, which had grown to 1% of revenue. Fraudsters were actively sharing tips on how to defraud ChowNow, and certain locations like Miami, Atlanta, New York, and Chicago emerged as significant sources of fraud. This situation was discouraging growth in large markets. The company was spending an increasing amount of time fighting chargebacks, and was considering hiring a full-time team to tackle the problem. As a growing business, ChowNow didn’t want to restrict sales or spend too much on fraud operations, but couldn’t continue operating with growing revenue loss.

About Customer

ChowNow is a platform designed to help restaurants meet growing customer demands for faster, easier ways to order their meals. They create online ordering channels on both web and mobile, so their growing base of 9,000 restaurant customers can compete and win in an increasingly digital world. With ChowNow’s platform, restaurants streamline pickup & delivery and accept more orders than ever before. The company's goal is to make online ordering easy, so restaurants can focus on what they do best: cooking delicious food and connecting with their customers.

Solution

ChowNow turned to Sift, a fraud detection solution, and tasked two engineers with the integration. It took one month to get set up, and they saw results as soon as it was implemented. Sift was able to pick up on repeat offenders and catch fraudsters who previously had gotten through. Shortly after integration, they set up Workflows, Sift’s automation feature, which enabled them to take action on orders in real-time, a critical part of mitigating risk for their on-demand business. They also used Workflows to build logic incorporating the riskiness of various regions, so they could easily adjust acceptance rates without affecting order volume from good locations. ChowNow also uses Sift Insights, a reporting capability, to monitor order growth as well as block rates and chargeback rates.

Impact #1	ChowNow has seen their chargeback rate drop by 99%.
Impact #2	Fraud management time has dropped to 15 hours per week.
Impact #3	ChowNow was able to expand their business where they previously thought of restricting sales.

Impact #1

ChowNow has seen their chargeback rate drop by 99%.

Impact #2

Fraud management time has dropped to 15 hours per week.

Impact #3

ChowNow was able to expand their business where they previously thought of restricting sales.

Benefit #1	Saved $1 million in the first year by reducing losses and making operations more efficient.
Benefit #2	Signed over 5,000 new accounts in the U.S. and Canada.

Benefit #1

Saved $1 million in the first year by reducing losses and making operations more efficient.

Benefit #2

Signed over 5,000 new accounts in the U.S. and Canada.

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Overview

How ChowNow started focusing on growth instead of fraud

Operational Impact

Quantitative Benefit