For a DOOH giant with 120,000+ ad panels worldwide
A Singapore-based leading outdoor advertising company wanted to streamline and upgrade its ad inventory system. With the legacy approach, they had to manually manage the process across multiple disparate systems, which was both time-consuming & costly.
Capability
Enterprise Software
Industry
Advertising
Country
Singapore
An integration of supplier systems that provides insights into delays, lead times, and confirmed delivery dates
Provides updates on delivery dates, status, notification alerts on delay, and real-time impact/update on inventory & hence planning
A command center that provides a high-level overview of ad order inquiries and their placement/delivery status along with inputs on missed opportunities
No system to perform high-volume data processing in real-time
No live tracking of available inventory
No proper insight on advertising inventory management
Booking response time across the process was low
Team Rishabh modernized the legacy digital ad inventory management solution that could process millions of data sets to offer inputs in real-time, enhances inventory use, and addresses many bookings simultaneously. As the preferred big data solutions provider, we used the digital-first strategy to re-engineer the existing system into a customer-centric system.
Using JSON, we created a data lake to store, manage & track inventory data in the required format & structure for real-time inventory availability resulting in enhanced ad bookings.
We recommended AWS as the most flexible and secure fundamental services platform to the customer for networking, storage, and computing. The revamped ad inventory platform consists of several microservices running on Amazon Elastic Compute Cloud (Amazon EC2) instances. we implemented a master-slave architecture to support the infrastructure and manage many requests.
Leveraging technologies like Apache Kafka & Apache Zookeeper, we put the unstructured data to work and equipped the solution to handle high-volume data from different locations.
reduction in the site downtime instances

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