Average Ratings 0 Ratings

Total
ease
features
design
support

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

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

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

Write a Review

Description

Create bespoke AI assistants to enhance your efficiency. Elevate your team's capabilities with customized assistants integrated with your unique knowledge and data resources. Facilitate the connection of your team's information and dismantle knowledge barriers using context-sensitive assistants. Enable your teams with assistants specifically designed to address their requirements in practical scenarios. Maintain flexibility in your choice of AI models: seamlessly transition to the latest advanced models without disrupting your existing workflows. Manage data access meticulously with an application focused on safety and privacy. Provide individuals with a creative mindset the necessary tools to expedite your organization’s shift towards GenAI, fostering innovation and adaptability in the process. This approach not only streamlines operations but also nurtures a culture of continuous improvement and learning.

Description

Mindset-Insights & Digital Empathy Management System, known as whenwhyhow, represents a groundbreaking evolution in Customer Data Platforms (CDPs), concentrating on customer mindset analytics and leveraging actionable AI to foster loyalty, decrease churn, and enhance Lifetime Customer Value (LTCV). This innovative platform fills a crucial gap in digital customer service and business intelligence, offering a fresh perspective on actionable AI for customer service sectors and data-centric organizations seeking efficient methods to organize, store, and access their business data. With its seamless API-based integration, whenwhyhow connects effortlessly with your digital channels, CRM, and other data sources, ensuring a swift, user-friendly, and cloud-deployable experience. In sectors like Banking and Fintech, the availability of digital channels should harmonize with a deep understanding of customer mindset and empathetic interactions, making it possible to bring the essence of traditional "human touch" banking into the digital realm. This approach also allows for a comprehensive grasp of customer concerns related to insurance, their worries, and their sensitivity to competitors' pricing, ultimately driving a more personalized and effective service experience. By bridging the gap between technology and genuine customer connection, whenwhyhow can significantly transform the landscape of customer engagement.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Axis LMS Yes 
GitHub Yes 
Google Chrome Yes 
Google Drive Yes 
Leo Yes 
Notion Yes 
Slack Yes 

Integrations

Axis LMS No 
GitHub No 
Google Chrome No 
Google Drive No 
Leo No 
Notion No 
Slack No 

Pricing Details

$29 per user per month
Free Trial Yes 
Free Version No 

Pricing Details

$2500 per year
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Dust

Founded

2023

Country

France

Website

dust.tt/

Vendor Details

Company Name

Anbotux Data Intelligence

Country

Spain

Website

whenwhyhow.tech

Product Features

Customer Data Platforms (CDP)

Behavioral Analytics Yes 
Campaign Management No 
Customer Profiles Yes 
Customer Segmentation Yes 
Data Integration Yes 
Data Matching No 
GDPR Compliance Yes 
Personalization Yes 
Predictive Modeling No 

Alternatives

Twin Reviews

Twin

Twin Labs

Alternatives

Cohere Reviews

Cohere

Cohere AI