How Data-Entry-India.com
helped tackle counterfeits and brand abuse with advanced data support
In what has been one of the fastest-scaling projects for us - with a team that grew from six to over a hundred people within half a year - we helped a digital revenue recovery company save hundreds of millions for its clients.
An AI solution to combat counterfeits flooding the market
Counterfeiting, web spoofing, fake listings, and product copies have witnessed a huge spike in recent years, impacting sales & growth of big brands in the global market. Identifying such online scammers from lakes of websites, marketplaces, and web portals is equivalent to finding a needle in a haystack.
Our client is one of the leading revenue recovery companies with proprietary AI-based software. This tool crawls the web on behalf of businesses to detect IP (intellectual property) infringements. This platform allows our client to support its clientele by identifying copyright violations, product or brand impersonation, product or content piracy, counterfeits, and distribution abuse. With this unique proposition, our client currently assists over a thousand online brands in monitoring fraud and enables them to take necessary legal action backed by evidence to recover their revenue.
Data-Entry-India.com helped discover and bridge the gaps in the client's AI brand protection platform through multiple types of data support solutions.
Addressing data management obstacles for an AI-driven brand protection software
Handling the avalanche of data being scraped by their AI system for all these brands had become overwhelming. So, the client decided to outsource a few data-specific operations.
During our discussions, we identified a few issues that needed immediate attention.
Data cleaning
To enable the AI platform to function effectively, it needed to be fed with a continuous stream of high-quality data, thus creating a need for consistent data cleaning and data hygiene monitoring.
Data validation
The scraped data (primarily containing links to counterfeit products) needed regular verification.
Data appending
The data collected by their AI contained incomplete information (in certain cases where data crawling & extraction methods failed to extract all the information), so it needed manual data appending.
Web research
In cases where automated scraping failed to produce results, we needed to detect the online scammers through manual web research.
Dedicated team for the entire data management process
We proposed a dedicated team of data researchers to build on the knowledge to perfect the process.
We suspected most of the issues that came up during our discussion with the team. But, seeing the final scope after our initial talks, we were shocked and frustrated at how much of our time was going towards managing the aftermath of things that we weren't even viewing as a problem.
- ClientVerifying influx of extracted data and performing manual research where automated scraping techniques failed
This project ran in phases. We started out with a few basic tasks (mainly data validation) and moved on to data cleaning and web research.
After evaluating their initial work, we became confident that this was a reliable partner. Their team was open to changes, actively sought feedback, followed radical transparency, and enforced a quick TAT that enabled us to place trust in them and take the project forward.
- Said the clientThe achievements we acquired on the way
The client extends its services to over a thousand brands. Initially, we were assigned only a few of them.
By the end of the first month, the brands assigned to us were doubled. Our dedicated team significantly reduced client involvement (for feedback and quality analysis) by nearly 70%. We also improved our accuracy rates from 72% to 95%.
Adopting a proactive approach for this multi-tier data support project helped enhance the client's operational efficiency
For this particular project, our team showcased admirable resilience. We experimented with approaches, evaluated and reframed processes, and established quality analysis systems while evolving with the client's needs and workload.
Initially, when we started the project, we divided our teams based on the brands we were assigned. For example, from the entire manual data detection team, each resource was assigned a few brands to work on. When this approach resulted in quality issues and higher errors, we divided our teams based on processes for simplified management.
With continuous process refinement, resource upskilling, and uncompromised data compliance to their standards, we built confidence and became the client's ‘Vendor of Choice,’ which resulted in the following:
- The client recorded a 30% reduced delivery timeline for its clientele.
- The client signed a long-term contract with us for continued partnership.
- We acquired over 50% of the client’s work. (As of now, we are working for nearly half of all the brands who use this client's AI system).
- The project team scaled from 6 resources to 101 resources (and counting) in a span of six months.
While there is more to do, we have helped the client achieve the most important thing- increasing the accuracy rate of their AI platform and improving on the promised deliverables to their clientele.
- Project ManagerHumans-in-the-Loop approach
The goal of any AI-based tech platform is to be as close to precision as possible. Achieving this goal across sites is difficult since websites usually have distinct unique underlying patterns. Further, website structures change with time, so these AI-based solutions must be robust enough to adapt. The automated crawling methods, howsoever trained, cannot work unsupervised - they need to work in tandem with a human-in-the-loop approach to deliver the most optimal results.
Data-Entry-India.com understands this man-plus-machine approach very well and continues to effectively serve several AI-based tech platforms for their varied data management needs.
As a back-office data support vendor, Data-Entry-India.com continues to be a wonderful partner. With immense support from the team and collective efforts, we were able to improve the efficiency of our AI-based brand protection software and save millions in revenue for our customers. Moreover, with dedicated resources, and quick data support, we were able to reduce our delivery timeline by 30% for our customers. We are definitely looking forward to a long term association with their team.
- CEO, Client CompanyHave a Project to Discuss?
Share your requirements, request a free sample, or ask for a service quotation by writing to us at info@data-entry-india.com