Leveraging Intelligent Process Automation for Brand Protection
Intelligent Process Automation simplifies operations - identification, cataloging and reporting of brand counterfeits - for a global brand protection services company
SIPI had set a team working on a variety of procedures to identify counterfeiting and brand infringements. While they had a large team to handle all their clients, their existing system was being inefficient because:
Srijan conducted various inter-departmental interactions at SIPI to study project execution processes and analyzed the feasibility of introducing Robotic Process Automation (RPA) to reduce efforts and mitigate errors. The team identified several key processes that could be automated for faster turnaround, solving scalability challenges and time-critical needs. Based on this and SIPI’s business needs, here’s what Srijan delivered:
One of the key parts of the solution consisted of creating an algorithm for searching web pages from various search engines, online marketplaces, and social media to identify counterfeit products. Search and comparison accounts for 60% of the project execution procedures for the client. Srijan evaluated available crawling engines on the basis of the scope for configuration, customization, execution capabilities, and interactivity.
The algorithm conducted searches through diverse websites to compare properties of original product with keywords brought through permutations and combinations. The algorithm is customizable to continuously run searches in the background, and populate suspects, non-suspects for further processing.
Srijan automated the data transformation and storage processes for logging all information on counterfeits in a single repository. So data from dissimilar websites with varying categories, languages, currencies, and compliances were automatically transformed into uniform format for storage.
Srijan simplified the reporting format into a web-based interactive dashboard which, unlike the conventional PDF, was responsive to be viewed on different devices, and allowed users to generate custom insights.
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