In today's retail landscape, shoppers expect to find exactly what they want — fast. When they don't, they leave. But here's the challenge: without properly labeled product data and customer signals, even the most sophisticated search tools struggle to deliver what your customers are looking for.
ML auto-labelling technologies are making it possible to label your product data automatically, but they’re not always accurate. This could lead to poor user experiences and missed revenue opportunities. However, manually
labelling large amounts of data is neither cost-effective nor scalable.
By striking the right balance between automation and human expertise, you can efficiently scale data labelling while maintaining the quality standards required to deliver exceptional search and recommendation experiences—driving more conversions and building loyalty in the process.
In this quick guide, you’ll learn.
Sama provides ML Professionals and AI team Leads with an indispensable solution for Computer Vision data labeling.
