Advertisement on Rickshaws: Enhancing Local Business Visibility Through Strategic Outdoor Advertising

Abstract

Adviksha is a geographically optimized rickshaw advertising platform improving localized business outreach through transit advertisement analytics. Unlike conventional static advertising, such as billboards, dynamic targeting, and adaptive optimization of reach can't be cost-efficient. Adviksha overcomes these limitations by means of a distributed digital architecture that combines real-time geo-location tracking with predictive ad analytics and automated campaign management powered by a scalable cloud-based infrastructure. The system architecture includes a Flutter-based frontend, sports back-ends in Dart and JavaScript, and a hybrid MySQL-Firebase database built for high-volume data management and storage scalability. Real-time rickshaw tracking through the Ola Maps API allows for the dynamic placement of ads by traffic flow and consumer density analytics. A secure transaction model implemented through the Razorpay API ensures financial integrity in revenue sharing between the advertisers and rickshaw operators. Computation-style analytics are used to quantify advertising impact, measuring ad impressions, geo-fenced exposure, and conversion probabilities that help in budget optimization by cost-per-impression (CPI) modeling. Ad verification is performed using image recognition and GPS validation protocols. Identified challenges are handled through asynchronous caching, TLS-encrypted API endpoints, and heuristic-based anomaly detection algorithms, which counter GPS signal reliability issues, latency in real-time ad validation, and large-scale data synchronization problems, thus preserving data integrity and further enhancing the network's resilience under high-density urban conditions.