Stickler: Enhancing Live Commerce Through Advanced Livestream Insights
Client
Stickler
- Industry
Video Streaming · Analytics · E-Commerce
- Region
Target market: Singapore, Indonesia, Vietnam, Thailand, Malaysia, Philippines and the USA.
Overview
Stickler is a Singapore based live commerce technology company focused on helping brands maximize the impact of their livestream sales and marketing activities. Through advanced analytics and performance monitoring tools, the platform provides businesses with valuable insights into their own livestream performance while also enabling them to track competitor activity across the market.
To support Stickler’s vision, a comprehensive analytics solution was developed to simplify livestream performance evaluation and deliver actionable insights in real time. The platform incorporates advanced capabilities such as audio transcription, sentiment analysis, and AI powered script generation, helping brands improve audience engagement, optimize content strategies, and drive stronger conversion outcomes during live commerce events.
This solution empowers businesses to make data driven decisions and enhance the effectiveness of their livestream campaigns across multiple markets.
- Tools
Technologies Used
python
Java Scrippt
Azure
Type Script
Postgre SQL
AWS
Google Cloud
Fast Api
Docker
Graph QL
Next JS
- Challenges
Managing large amounts of livestream data, including views, comments, shares, and follower activity while maintaining performance.
Collecting and processing livestream data in real time without impacting application responsiveness.
Helping users effectively utilize advanced capabilities such as AI powered script generation and livestream tracking.
- Solutions
Implemented cloud based infrastructure, asynchronous workflows, and batch processing to efficiently manage large scale livestream data.
Leveraged a microservices architecture, caching strategies, and load balancing to ensure responsive real time performance.
Introduced in app tutorials, guided walkthroughs, and a knowledge base to improve feature adoption and user engagement.
Measurable Results
- Tracked and analyzed over 21,000 livestreams, totaling more than 45,000 hours of content.
- Monitored the performance of 200+ leading brands across multiple markets.
- Created more than 300 AI generated scripts for imported products.
- Reduced manual effort by saving approximately 20 minutes per product through AI assisted script creation.
Project Team Composition
Role
Frontend Developers
Project Manager Project Manager
Product Designer
Software Quality Assurance (SQA)
Technical Specialists
Team Members
2
1
1
1
1
Core Features of the Platform
Livestream Recording and Performance Monitoring
Automatically captures livestreams across multiple platforms while tracking key engagement metrics such as views, shares, comments, and audience growth.
Audio Transcription and Insights
Converts livestream audio into searchable text and delivers valuable insights for analysis, content optimization, and future reference.
Audience Sentiment Analysis
Evaluates viewer comments to identify positive, neutral, and negative sentiment, helping businesses better understand audience engagement.
AI Powered Script Creation
Generates compelling livestream scripts from product information, enabling faster content preparation and sales focused storytelling.
Advanced Audio Analytics
Measures factors such as loudness levels and silence duration to help assess audio quality and improve livestream effectiveness.
Timeline
Project Start Time
September 2022
1
Project End Time
Ongoing
2
Discovery and Strategic Planning
2 Months
1
UI/UX Design
1 Month
2
Platform Development
24 Months (Ongoing)
3
Continuous Testing and Quality Assurance
Conducted after every sprint
4
Deployment and Ongoing Support
Bi-weekly production releases and continuous support
5
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