Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Link your data sources and set up data views using SQL scripts, then configure a GPT Wizard, develop a custom GPT, and distribute it among your users, employees, or clients. By exposing a targeted range of data through SQL, you can train GPT and engage with it in everyday language. The process of deriving data insights has never been simpler; with straightforward steps, DataLang manages the complex tasks for you. Start by configuring your connection string and assign it a unique name. Utilize SQL to train GPT with your specific data entries, choose the data sources to enhance GPT's training, and interact with your data in real-time through GPT. Create tailored GPT Assistants to facilitate conversations about your data. Additionally, you can configure a GPT for sharing with your users or customers seamlessly. Rest assured, your connection string credentials are securely stored and only decrypted when necessary for data tasks, reflecting our commitment to safeguarding your information. You can pose nearly any question to DataLang that you would typically ask a data analyst, making it an invaluable tool for data-driven inquiries and decisions. Engage with your data like never before and unlock insights with ease.
Description
Lang revolutionizes support interactions by auto-tagging them with personalized data categories, leading to a reduction in average resolution time by over 60%. By leveraging your customer support data, you can create a more efficient and intelligent customer experience (CX) team. Enhanced categorization of support interactions allows for the automation of various manual tasks such as ticket routing, triage, and prioritization, which significantly shortens the time it takes to resolve issues. Every organization holds a wealth of customer interaction data, and Lang empowers you to establish tailored CX categories to gather and organize this data more effectively than ever before. With the ability to easily generate actionable insights from your data, you can enhance customer retention and identify potential revenue streams. Utilizing your own unique data language, Lang assists in the automatic tagging and categorization of customer interactions, revealing new patterns within your data. Moreover, you can effortlessly set up automation based on these insights, integrating seamlessly with essential CX systems. By enabling real-time auto-tagging and categorization of incoming support tickets, you can ensure a swift and organized response to customer inquiries. This approach not only streamlines processes but also enhances overall customer satisfaction.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Dixa
No
Flip
No
GPT-3
Yes
GPT-4
Yes
Intercom
No
SQL
Yes
Salesforce
No
Zendesk
No
Integrations
Dixa
Yes
Flip
Yes
GPT-3
No
GPT-4
No
Intercom
Yes
SQL
No
Salesforce
Yes
Zendesk
Yes
Pricing Details
$19 per month
Free Trial
No
Free Version
No
Pricing Details
No price information available.
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)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
DataLang
Country
United States
Website
datalang.io
Vendor Details
Company Name
Lang.ai
Country
Spain
Website
www.lang.ai/
Product Features
Product Features
Customer Feedback
Alerts / Notifications
No
Behavior Analytics
No
Bug Reports
No
Community Feedback Tools
No
Live Chat
No
Negative Feedback Management
No
Net Promoter Score (NPS)
No
Screenshot / Screen Capture
No
Surveys
No
User Testing Tools
No
Video Feedback
No
Visual Feedback Tools
No
Voice of the Customer (VoC)
No
Website Feedback
No