Jared Shaffer

In this project, I addressed a critical pain point for online merchants managing numerous independent eCommerce sites catering to diverse groups, such as sports teams and corporate apparel for businesses. The challenge was the daily lump-sum deposit of income from these stores, causing significant headaches for accountants who constantly had to update invoices and purchase orders. Through comprehensive customer research, interactive prototyping, and rigorous beta testing, I spearheaded the development of a groundbreaking payment processing service.

This solution empowered accountants to take control of their cash flow by selecting precisely when they wanted to receive funds. The impact was remarkable—our users, on average, saved two hours every week, which allowed them to focus on more strategic tasks. Moreover, the success of this project was evident as we closed deals with 50 new accounts within the 1st week of launching, showcasing its immediate and tangible benefits for our clients.

I led the full software development cycle for an integrated shipping solution that enabled sellers to purchase and print shipping labels, offer real-time carrier-calculated shipping rates in the checkout, and send shipment notifications to shoppers. I vetted and integrated with a 3rd party to help my team work with multiple shipping carriers, and I designed the experience within our own custom application. Shipping can make or break an online business, so I created a solution for a low-tech industry that empowered merchants to ship profitably.

In response to the challenge of increasing the average order value for an online store, I led a high-impact project that resulted in a remarkable $3 million increase in gross merchandise value (GMV) within a single year. The task was to create an efficient product recommendation algorithm, and my team and I accomplished this feat in just two weeks.

Taking a pragmatic approach, I introduced a subtle yet effective "Customers Also Buy" feature during the checkout process for online shoppers. This feature recommends top-selling, budget-friendly products to enhance the shopping experience. To measure the impact of our solution, we implemented a comprehensive set of metrics, including click-through rate tracking, buy rate analysis, price point averages, recommended product abandonment rate, and more.

The results were outstanding—an additional $3 million in GMV was generated, and the average order value surged by $8, significantly exceeding our initial goals.

I led a cross-functional team to develop an AI-powered data duplication detection tool using OpenAI technology. Our goal was to achieve a 60% success rate, but we exceeded expectations with an impressive 75% success rate. This innovation saved our clients valuable hours each week by automating the identification and merging of duplicate data.

This project stemmed from recognizing a common pain point with our customers—the manual merging of duplicate feedback and ideas submitted by their users. Through user research and iterative design, I created a user-friendly feature that intelligently recommended groups of similar ideas for categorization. Users could easily accept or reject these suggestions, streamlining their data management process.

My success not only saved time for our clients but also provided a competitive edge in the industry. This project marked my entry into AI technology, accelerating future projects and showcasing our commitment to cutting-edge solutions. It demonstrates my ability to leverage advanced technology and deliver exceptional results.