AI WhatsApp Video Campaign Personalization: Behrouz Case Study
Delivered 20,000+ personalized video greetings during the 2024 Diwali campaign, boosting customer engagement through AI-driven experiences via WhatsApp.
Behrouz Biryani needed a festive Diwali campaign that could deliver personalized video greetings at consumer scale through a low-friction WhatsApp flow. MythyaVerse designed a QR-based entry point, integrated WhatsApp automation through Karix, built a custom AI-powered video generation API, and deployed a multi-cloud architecture using AWS for video rendering and Google Cloud for backend orchestration. The campaign delivered 20,000+ personalized video greetings during Diwali 2024, showing how AI video generation, cloud infrastructure, and messaging automation can come together for a time-sensitive brand campaign.
Business Impact
The campaign delivered 20,000+ personalized video greetings during Diwali 2024 and gave Behrouz a memorable, interactive engagement format through WhatsApp. The architecture supported personalization without adding manual production steps for each customer.
Dedicated Video Page
Behrouz AI personalized video campaign case study video
A video view of the Behrouz Biryani Diwali campaign that generated personalized greetings through WhatsApp.
Overview
Behrouz Biryani partnered to launch a personalized festive campaign for Diwali, allowing customers to receive customized video greetings from brand ambassador Saif Ali Khan. The initiative leveraged AI-driven video generation, WhatsApp automation, and cloud-native infrastructure to create a memorable, scalable customer experience.
Problem
The campaign needed to create personalized celebrity video greetings quickly while keeping participation simple for customers using WhatsApp.
Constraints
- Handle a short festive campaign window with high concurrent engagement.
- Keep the customer entry flow simple through QR codes and WhatsApp.
- Generate personalized videos reliably without manual rendering per user.
- Balance rendering performance and backend orchestration across cloud infrastructure.
Solution Architecture
- QR codes route customers into a WhatsApp interaction flow for name collection.
- Karix integration automates message handling and triggers video generation.
- A custom AI video generation API renders personalized festive greetings.
- AWS and Google Cloud workloads are split around rendering performance and backend reliability.
The Challenge
Creating high-quality personalized video content at scale within a short campaign window presented multiple technical and operational challenges:
- Creating high-quality personalized video content at scale within a short campaign window
- Ensuring seamless WhatsApp delivery without friction for end users
- Handling high concurrent traffic during peak festive engagement
- Coordinating multi-cloud infrastructure for performance and reliability
Objectives
- Enable customers to easily receive personalized Diwali greetings
- Integrate AI-based video generation into a consumer-facing WhatsApp flow
- Support thousands of simultaneous requests without latency or failures
- Deliver a campaign that enhances brand engagement and recall
Our Approach
We designed a QR-based entry point to minimize user friction. Built a WhatsApp interaction flow using Karix, allowing users to submit their names effortlessly. Developed a custom AI-powered video generation API to dynamically personalize content. Architected a multi-cloud deployment strategy to balance performance and scalability.
Solution Delivered
- QR-Based Engagement -Customers scanned QR codes on packaging or marketing material to initiate interaction.
- WhatsApp Automation -User inputs collected via WhatsApp were processed automatically to trigger video generation.
- AI-Powered Video Generation -Personalized video greetings rendered dynamically featuring Saif Ali Khan.
- Multi-Cloud Scalability -Video generation API deployed on AWS for high-performance rendering. Backend services and orchestration hosted on Google Cloud for reliability and traffic management.
Technologies Used
AWS
Google Cloud
Python
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