Labelf Elevate Your Customer Interactions with Custom AI Models

What is Labelf?

Labelf provides a platform designed to amplify data analysis and strengthen customer engagement through uniquely customized AI models. It facilitates smooth automation and delivers profound insights by deciphering customer interactions. The platform offers real-time insights via interactive dashboards, enabling swift decision-making and streamlining analysis processes.

Built as a no-code solution, Labelf allows users without extensive technical expertise to create their own custom Natural Language Processing (NLP) models quickly. It utilizes an active learning approach for data annotation, speeding up the process from unlabeled data to production-ready classification models. This approach aims to reduce operational costs, decrease customer churn, and improve overall customer satisfaction by enabling faster support responses and proactive issue resolution across multiple languages.

Features

No-Code Platform: Build custom NLP models without coding expertise.
Active Learning Interface: Efficiently train models even with unlabeled data.
Multi-Language Support: Handles interactions in over 100 languages.
Real-Time Dashboards: Visualize data and gain insights instantly.
Customer Support Integration: Connects with Zendesk, Freshdesk, and Zapier.
Custom Model Creation: Design AI models tailored to specific business needs.
Data Issue Identification: Helps improve data quality for better analysis.
Automation Capabilities: Automate ticket tagging, routing, and response suggestions.

Use Cases

Automating customer support ticket classification and tagging.
Implementing intelligent ticket routing.
Identifying frustrated customers through sentiment analysis.
Determining customer sales stage from interactions.
Reducing customer support response times.
Generating automatic reply suggestions for support agents.
Analyzing Customer Satisfaction (CSAT) data.
Conducting Voice of the Customer (VoC) analysis.
Enhancing customer experience through data insights.

FAQs

Why should someone use Labelf?

Labelf helps implement AI quickly with its no-code NLP platform. It assists customer support teams in working more efficiently, helps customer success teams analyze feedback, and allows data scientists to implement text classification models directly via API.
How does Labelf help reduce response times?

By automating processes like ticket classification and routing, Labelf helps resolve customer queries faster, decreasing response times and improving customer satisfaction.
Can Labelf handle customer interactions in different languages?

Yes, you can train an AI model in one language, and it will handle tickets and interactions regardless of the customer's language, supporting over 100 languages.
How does Labelf improve decision-making?

Labelf analyzes all customer interactions, providing improved data quality and comprehensive insights through real-time dashboards, enabling better-informed decisions.