Building a better chatbot with text annotation services
Customer Company Size
SME
Region
- America
Country
- United States
Product
- Sasha
Tech Stack
- Natural Language Processing
- AI Model Training
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Digital Expertise
Technology Category
- Analytics & Modeling - Natural Language Processing (NLP)
- Analytics & Modeling - Machine Learning
Applicable Industries
- Retail
- Professional Service
Applicable Functions
- Business Operation
- Sales & Marketing
Use Cases
- Chatbots
Services
- Data Science Services
- System Integration
About The Customer
True Lark is an AI communications platform that offers a virtual business assistant named Sasha, designed to handle customer inquiries, book appointments, and make purchases around the clock. The company primarily serves personal service businesses such as dental offices, spas, and exercise studios, which require efficient customer engagement and lead management. Founded by Srivatsan Laxman, True Lark leverages AI to address the unmet potential in the personal service sector, providing automated conversational experiences that enhance customer service and operational efficiency. CloudFactory supports True Lark by annotating large volumes of customer conversations, enabling the company to focus on AI model innovation and rapid productization.
The Challenge
Chatbots often face limitations in answering diverse questions or managing various tasks, leading to rigid and frustrating user experiences. True Lark aimed to overcome these limitations by focusing on specific industries to provide a full range of necessary context. However, to achieve this, they needed labeled data to build their models, which required extensive time and effort. True Lark's internal team was unable to dedicate the necessary time to data annotation without neglecting other critical aspects of product development. This led them to seek external assistance from CloudFactory for data labeling operations.
The Solution
True Lark partnered with CloudFactory to handle the data annotation tasks required for training their AI models. CloudFactory's team was trained to understand the nuances of language necessary for accurate text tagging. True Lark initially spent time explaining the requirements to CloudFactory, which then took over the process of reviewing and labeling large batches of text message conversations. The annotations included identifying nouns, appointment times, staff members, and service types, as well as determining the nature of client requests. This collaboration allowed True Lark to focus on testing and training their AI models, leading to significant improvements in their virtual assistant, Sasha.
Operational Impact
Quantitative Benefit
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