A sustainable future with the power of data and AI

Ribbn is the first AI-powered e-commerce platform crafted to revolutionize resale. During the first phase of Ribbn, little effort was paid to the data infrastructure, with more focus on their SaaS platform. Having the right data and data platforms in place to realize and build their desired features was crucial.

Crowd Collective made sure that Machine Learning models for image recognition, a cost efficient company-wide dashboard with data and a Data Strategy were put in place. At the same time we made sure to advocate for AI in all aspects of the business.

Ribbn utilized the power of Crowds, getting ad-hoc support from not only the Data Crowd but other Crowds as well, with the result of not needing to add more people to the team. They gained a company wide data and AI understanding and different teams rallied with the common goal of really bringing AI and it's capabilities into every corner of the company and product.

Project highlights

• Enhanced image recognition performance through machine learning models.
• A company wide data and AI understanding, bringing AI and it's capabilities into every corner of the company and product.
• Implemented a Data strategy map (short and longer term) to make sure to focus on what brings value.
• Utilizing the power of Crowds to give Ribbn the support needed to elevate and develop their business.

Ribbn prepared their first official product launch in 2023. The focus lied on finalizing the main product and the backend system, only a little effort was paid to the data infrastructure. Ribbn quickly realized that this needed more attention, as their AI and ML features would highly contribute to their USP.

They needed help with their data-related development and implementations, but also with oversight and planning, understanding the company's different needs and communicating decisions among multiple stakeholders.

Putting the short and long term goals of Ribbn as the center focus, Crowd Collective drafted and built the strategic data roadmap for their upcoming platform's soft launch and beyond. This helped Ribbn to set priorities accordingly while not missing out of required work within the data area.

By optimizing and building smart workflows and using high quality in-house data, we helped Ribbn to start on top of the game within the area of AI and ML. Growing Google Cloud Platform (GCP) knowledge was a primary goal along the whole journey.

Since Ribbn's needs were broad, we decided to utilized the power of Crowds, getting ad-hoc support from not only the Data Crowd but other Crowds as well, with the result of not needing to add more people and cost to the Ribbn team.

After a couple of months, we had enhanced image recognition performance. This feature will help customers save time when uploading new products for sale as properties like brand, size, and product type will be detected automatically. The desire to have a company wide data and AI understanding and working interfaces between different teams with the common goal of really bringing AI and it's capabilities into every corner of the company and product was achieved. Also, we developed an improved company-wide dashboard and work on the analytical premium offerings for upcoming clients allowing them to visually see in detail how their own stores perform. Making it as cost-efficient as possible - while not loosing performance - was crucial an achieved.

"Crowd Collective has been an invaluable contributor to our AI and data product strategy and development. They possesses that rare combination of technical ability, rigorous product comprehension, an outstanding attitude, and stellar people skills. In just a matter of weeks, the consultant from Crowd Collective significantly influenced the direction of our product strategy, working in close collaboration with our other key stakeholders in developing important cost optimizations with Big Query and enhancing our image training procedure by building a custom app using Python."

"Going beyond the usual scope of data science, Crowd Collective also actively contributed to writing and editing product documentation, and was instrumental in consistently testing and providing feedback on our apps. Crowd Collectives efforts have been pivotal in guiding us towards the smartest ways to incorporate generative AI and traditional machine learning features into our suite of products."