WHO

Bossa Nova is a Pittsburgh-based company delivering AI superpowers to accelerate the future of shopping. Their retail AI engine provides customers with the fastest, most accurate image-based analytics available. With the help of Bossa Nova, retail organizations can increase sales and reduce costs by gaining critical insights about what shoppers are seeing in stores.

With a mixture of computer vision, Machine Learning, and big data analytics, Bossa Nova automates a myriad of customer operations, keeping each shopper and vendor happy.

And what does that solution run on? You guessed it – data. Over the years, Bossa Nova has amassed a library of labeled data – 134 million labeled images to be exact – each containing many products now recognizable by their AI engine. This has enabled them to build a solution capable of recognizing over 300,000 unique products in various positions, orientations, and lighting conditions in stores all over the world.

bossanova and innotescus image annotation

THE PROBLEM

         That’s a lot of data! And Bossa Nova has no plans to slow down. New products are introduced to the market every day; stores in London don’t contain the same products as stores in Dallas; and their technology has applications beyond retail. All of those factors point in one direction – Bossa Nova has much more data to collect, label, and manage, and that’s no small task.

         Before turning to Innotescus, Bossa Nova used their own modified instance of a popular open-source platform to manage and annotate their data. But their initial solution wasn’t up to the task. It was such a burden to maintain, and difficult to teach new users, that only a few team members used it. Having scaled up their team on Innotescus, Bossa Nova has seen a 3x improvement in their productivity, resulting from efficiency gains in their entire operation. They report a 650% ROI from their initial subscription to the Innotescus platform.

 

Read the full case study here to see how Innotescus’ Class Search, Metadata, and Review features  radically improved Bossa Nova’s workflow.

“I am consistently surprised by the flexibility and the care provided by the team at Innotescus. When we began testing their product, our major concern was this: there were several features that we desired and had enjoyed at various annotation platforms but none that had them all. And though Innotescus did not immediately have those features, they have worked hand-in-hand with us to develop those useful tools to have a one-stop-shop of annotation data. Tools like an in-depth review process, analytics on the annotations themselves, adjustments to hotkeys during annotation, and other time-saving critical features that help alleviate the heavy lifting of machine learning. Their work is high quality and their care is top-notch.” ~ Jacob Wells

Class Search Innotescus

KEY TAKEAWAYS

There is a huge potential for machine learning to make our lives easier, and Bossa Nova’s work in smart retail shows us how. Their novel, high performing product recognition technology will solve countless problems for retailers, who will be able to more efficiently and effectively improve customer experiences across the globe. But before that could happen, Bossa Nova needed to upgrade their tooling to prepare for a continuous and large volume of data to collect, label and process to ensure an up-to-date solution. That’s where Innotescus came in. Before switching to Innotescus, Bossa Nova’s team experienced countless inconveniences and workarounds that amounted to a serious hit to their ability to organize and scale their work; after migrating their operations to Innotescus, Bossa Nova saw a 3x improvement in their productivity, and realized a 650% ROI in a matter of weeks. With Innotescus, Bossa Nova’s team has the tools and freedom to execute on their core mission – helping bring powerful machine learning solutions to retailers across the world.