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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Sweepr serves as a cutting-edge digital care platform empowered by AI, designed for both service and smart home providers to enhance customer support through tailored insights, achieving an unprecedented level of digital issue resolution. The platform boasts rapid deployment within weeks, with development timelines condensed to just days, while simultaneously offering real-time improvements. By utilizing adaptive decision-making, Sweepr enhances the accuracy of resolutions, providing a customized experience that is uniquely aligned with each customer's individual needs. This innovative solution streamlines your self-care technology framework, allowing for a no/low-code approach that transforms data into proactive and predictive insights, thereby delivering significant value to consumers. With comprehensive omnichannel support, customers enjoy the ultimate convenience of self-service capabilities around the clock, accessible through their preferred channels. The consistent delivery of channel-specific content ensures high-quality care remains uniform across various platforms, with Customer Intent being a fundamental element of Sweepr’s digital care philosophy, further solidifying its commitment to exceptional service. This focus on personalization not only increases customer satisfaction but also fosters deeper engagement with the services provided.

Description

Customers consistently share their feedback, and with inQuba's user-friendly graphical interface, omni-channel survey creation and management enables them to provide insights at any point in their journey through their chosen channels. Each survey is tailored and contextualized, utilizing a comprehensive view of each customer to ensure relevance. This approach ensures that the right insights reach the appropriate individuals promptly. inQuba also facilitates the categorization of feedback into various channels for distinct audiences, allowing for the escalation of critical concerns based on predefined criteria, such as a low Net Promoter Score or negative sentiments identified in detailed feedback analysis. Teams can collaboratively address issues within established service level agreements while leveraging a built-in workflow, promoting effective resolution. The journeys of your customers reveal valuable insights, so by modeling their experiences with defined steps and service channels, you can effectively connect both structured and unstructured feedback to each phase of their journey, enhancing the overall understanding of customer experiences. Ultimately, this process empowers businesses to adapt and improve their services based on real-time insights.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

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

Sweepr

Website

sweepr.com

Vendor Details

Company Name

inQuba

Founded

2010

Country

South Africa

Website

www.inquba.com/products-cx/

Product Features

Customer Experience

Action Management
Analytics
Customer Segmentation
Dashboard
Feedback Management
Knowledge Management
Multi-Channel Collection
Sentiment Analysis
Survey Management
Text Analysis
Trend Analysis

Product Features

Customer Experience

Action Management
Analytics
Customer Segmentation
Dashboard
Feedback Management
Knowledge Management
Multi-Channel Collection
Sentiment Analysis
Survey Management
Text Analysis
Trend Analysis

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