A France-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.
The re-engineering advertising inventory management software today integrates data from multiple disparate systems to track ad placement orders based on their live status and across diverse regions, from selection to delivery over a simplified user interface.
A form that extracts data from various types of order formats while converting it to a standard, manageable and structured format
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
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.
Regardless of many booking channels, we integrated different media types into the ad inventory management software to increase revenue growth.
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.