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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Protect your earnings while ensuring every customer receives the service they deserve. Appriss Engage offers retailers immediate safeguards through the use of AI, which supplies recommendations based on customer behavior to simplify processes for returns, claims, and appeasements. In contrast to other options, Appriss Engage integrates data from every channel to deliver precise recommendations regarding returns and claims. Whether a consumer interacts with a retailer online or in-store, Appriss Retail is poised to safeguard transactions from fraud and abuse. With real-time suggestions to approve, caution, or decline returns, Engage minimizes disputes that may arise from enforcing policies and biases in physical stores. It not only fortifies the return process against fraudulent activities but also ensures that honest customers enjoy a seamless experience. Additionally, fraudulent returners can interact through various platforms, including a retailer’s website or call center. A comprehensive strategy for mitigating fraud must encompass protection across all channels. This holistic approach ultimately fosters a safer retail environment for both customers and businesses alike.

Description

Fraud within contact centers constitutes a massive financial issue, amounting to billions of dollars annually. Alarmingly, only one in 770 fraudulent calls manages to reach agents, highlighting a significant challenge. This creates a constant struggle between fraudsters and call center representatives as they strive to outwit one another. In the Interactive Voice Response (IVR) system, about one in 390 accessed accounts falls prey to fraudulent attacks. The repercussions of such fraud not only affect a company’s financial standing but also influence customer satisfaction and overall brand reputation. Pindrop® offers a comprehensive, multifactor, real-time solution to combat fraud, assessing calls made to the contact center by examining various factors including voice, device, and behavior, which enables the detection of up to 80% of phone channel fraud, forecasts potential fraud risks up to 60 days ahead, and provides an extensive view of cross-channel fraud. By assessing call and account risk within the IVR, businesses can effectively thwart data breaches, account takeovers, and fraud across multiple channels. Moreover, organizations can receive immediate alerts about the risk associated with each call, equipping agents with real-time information to identify and manage potentially fraudulent interactions more effectively.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Connect
Amazon Web Services (AWS)
Cumulus Retail
Genesys Cloud CX
GigaSECURE
Gigamon
InteractionSync
ReturnPro
Verizon Cloud

Integrations

Amazon Connect
Amazon Web Services (AWS)
Cumulus Retail
Genesys Cloud CX
GigaSECURE
Gigamon
InteractionSync
ReturnPro
Verizon Cloud

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Appriss Retail

Country

United States

Website

apprissretail.com/solutions/engage/

Vendor Details

Company Name

Pindrop

Founded

2011

Country

United States

Website

www.pindrop.com/solutions/anti-fraud/

Product Features

Returns Management

3PL / ERP Integration
Automated Exchanges
Branded Experience
Custom Return Policy
Inventory Management
One-Click Returns Processing
Returns Analytics
Shopper Self-Service
Smart Data Collection

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