The project has successfully advanced through multiple phases, from initial concept to development and implementation, resulting in the creation of a comprehensive web application. This application seamlessly integrates observation and action data tracking methodologies, providing a robust platform for understanding market dynamics and consumer behaviour in the retail sector.
At its core, the project focuses on combining observation and action data tracking (ADT) methodologies. A specialized team conducts meticulous observations at various shops, spending a minimum of two hours per visit to gather data on customer behaviour, preferences, and trends. Interaction is solely with shopkeepers to ensure focused data collection, structured around predefined questions aimed at extracting valuable insights.
In the ADT component, upon receiving client requests, the system swiftly assigns surveyors to designated shops. These surveyors spend two hours observing and engaging with shopkeepers, capturing essential data and images of products. Rigorous AI-based verification ensures data quality and relevance, with tasks reassigned for rectification if discrepancies arise, thereby streamlining the process while maintaining data integrity.
