Case Study

Boosting Live Commerce with Advanced Livestream Analytics

Client

Industry

Region

Based in Singapore. Target market: Singapore, Indonesia, Vietnam, Thailand, Malaysia, Philippines and the USA.

Headquartered in Singapore. Stickler specializes in live commerce solutions, offering advanced analytics tools that empower businesses to monitor their livestream performance and gain insights into competitors' activities. By providing actionable, real-time data, Stickler enables brands to enhance engagement and boost conversions during live events. To address Stickler's specific needs. developed a comprehensive app that simplifies livestream performance analysis. This solution integrates cutting-edge features like audio transcription, sentiment analysis, and Al-driven script generation, significantly enhancing brands' ability to engage audiences during live commerce sessions.

Technologies Used

Python

Java Script

Type Script

Postgre SQL

AWS

Azure

Google Cloud Service

Fast Api

Next JS

Docker

GraphQL

Challenges & Solutions

Problem Statement

Handling Large Volumes of Livestream Data

Managing and processing massive amounts of data from numerous livestreams, including views, comments, shares, and follower counts, posed a performance challenge, especially as the app scales.

Managing App Performance in Real-Time Data Collection

Real-time data collection from livestreams while maintaining optimal app performance was challenging.

User Adoption and Education

Users found it challenging to fully utilize the advanced features of the app, such as AI-powered script generation or livestream tracking options.

Solution

Handling Large Volumes of Livestream Data

We optimized the backend infrastructure by implementing scalable cloud-based solutions and asynchronous processing. This ensured smooth handling of large data sets without affecting app performance. We also implemented batch processing techniques to ensure real-time analytics stayed efficient.

Managing App Performance in Real-Time Data Collection

We optimized the app’s architecture using microservices, which allowed us to split heavy data-processing tasks into smaller, more manageable services. This architecture, combined with robust caching and load-balancing mechanisms, ensured real-time performance stayed responsive.

User Adoption and Education

We created in-app tutorials and guided tours to spread a detailed knowledge base which guided users to conveniently utilize the key features.

Measurable Results

Livestreams Tracked

Captured and analyzed more than 21 ,000 livestreams with a total of 45,000+ hours.

Competitor Tracking

Performances of more than 200 exclusive brands have been tracked.

Product Imports

Generated 300+ Al-powered scripts for the imported products.

Reduction in Manual Work

The Al-powered script saves approximately 20 minutes per product.

Team Involvement

Resources	Count
Backend Developers	3
Frontend Developers	2
Project Manager	1
Product Designer	1
SQA	1
Other Specialist	1

Core Features of the Software

Livestream Recording and Performance Tracking

Automatically captures and records livestreams across multiple platforms for future review and analysis. Monitors key metrics like views, shares, comments, and follower growth in real time, helping businesses gauge the success of their livestreams.

Audio Transcription and Analysis

Converts livestream audio into text for easy reference, analysis, and content repurposing. Provides detailed insights into the average loudness level and total silence duration during livestreams, allowing businesses to assess the audio quality and engagement impact.

Sentiment Analysis:

Analyzes audience comments during livestreams to determine the overall sentiment (positive, neutral, or negative), enabling businesses to adjust strategies on the fly.

Al-Powered Script Generation

Automatically generates engaging livestream scripts based on imported product descriptions, allowing businesses to quickly craft sales pitches or narratives.

Audio Analysis

Provides detailed insights into the average loudness level and total silence duration during livestreams, allowing businesses to assess the audio quality and engagement impact.

Development Timeline

Provide a high-level timeline of the project, including:

Initial Discovery and Planning

2 months

Design Phase

1 months

Development

24 months (ongoing)

Testing and Quality Assurance

Iterative. There’s a testing phase after each sprint.

Deployment & Post-launch Support

Since it’s an ongoing project, we need to have regular bi-weekly production deployments.

Client Testimonial

Heartfelt appreciation to Vivasoft Limited for believing in my vision. Their talented developers can take any challenges against all odds and helped to bring Klikit into life.appreciation to Vivasoft Limited for believing in my vision. Their talented developers can take any challenges.