"Despite the challenges, we were able to successfully create a functional MVP thanks to my team’s relentless effort and collaboration. This experience reaffirmed the idea that entrepreneurship is a marathon, not a sprint. With the MVP in place, AULI can now focus on fundraising and scaling, knowing their product is in good hands."
Orhan G. Yalcin
Founder & CEO
"Despite the challenges, we were able to successfully create a functional MVP thanks to my team’s relentless effort and collaboration. This experience reaffirmed the idea that entrepreneurship is a marathon, not a sprint. With the MVP in place, AULI can now focus on fundraising and scaling, knowing their product is in good hands."
Orhan G. Yalcin
Founder & CEO
The AULI AI project focused on creating a user-friendly AI solution for small e-commerce store owners who lack the resources to hire data analysts. The solution aimed to simplify data analysis, allowing business owners to make informed decisions based on key performance metrics. Through collaboration with AULI’s team, VIZIO delivered an MVP that is already used by over 1000 users, with growth continuing every day.
The AULI AI project focused on creating a user-friendly AI solution for small e-commerce store owners who lack the resources to hire data analysts. The solution aimed to simplify data analysis, allowing business owners to make informed decisions based on key performance metrics. Through collaboration with AULI’s team, VIZIO delivered an MVP that is already used by over 1000 users, with growth continuing every day.
Understanding the Client’s Pain Points
Many small e-commerce store owners struggle with interpreting data and identifying actionable insights due to limited data literacy. The challenge was to design an AI-driven system that could simplify this process, allowing business owners to effortlessly track key metrics like pricing, inventory, and profitability—without requiring deep knowledge of data analysis.
Through in-depth client interviews and market research, we identified the most critical KPIs AULI’s customers wanted to measure. This insight guided the development of a streamlined product, ensuring it met the specific needs of small business owners who need clear, accessible data.
Understanding the Client’s Pain Points
Many small e-commerce store owners struggle with interpreting data and identifying actionable insights due to limited data literacy. The challenge was to design an AI-driven system that could simplify this process, allowing business owners to effortlessly track key metrics like pricing, inventory, and profitability—without requiring deep knowledge of data analysis.
Through in-depth client interviews and market research, we identified the most critical KPIs AULI’s customers wanted to measure. This insight guided the development of a streamlined product, ensuring it met the specific needs of small business owners who need clear, accessible data.
Technical and Development Challenges in Building AI Solutions
A major technical challenge was using large language models (LLMs) to analyze structured data—pioneering a new approach in the e-commerce space. Additionally, building a multi-agent system capable of effectively processing merchant data added complexity. Speed was also a critical factor—delivering the MVP on time while ensuring high quality and functionality.
VIZIO’s development team ran rigorous experiments to optimize performance and process. Through careful iteration, the solution was made both effective and scalable to meet the demands of AULI’s customers, while balancing speed with quality.
Technical and Development Challenges in Building AI Solutions
A major technical challenge was using large language models (LLMs) to analyze structured data—pioneering a new approach in the e-commerce space. Additionally, building a multi-agent system capable of effectively processing merchant data added complexity. Speed was also a critical factor—delivering the MVP on time while ensuring high quality and functionality.
VIZIO’s development team ran rigorous experiments to optimize performance and process. Through careful iteration, the solution was made both effective and scalable to meet the demands of AULI’s customers, while balancing speed with quality.
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Latest projects
Development
Growth
Branding
Found Factory – Co-Founder Matching Platform
The Found Factory project aimed to help students and alumni find the right co-founders by combining personality and skills matching. The result: an intuitive, scalable MVP that empowers entrepreneurs to build strong teams.
Fantasy Hudl – Data-Driven Football Management Venture Building
Fantasy Hudl offers a user-friendly dashboard for fantasy football enthusiasts, enabling them to visualize match results, compare player performance, and manage leagues. The platform provides multi-season tracking, player comparisons, and role-based league management.
