Pivotree Introduces its Novel MAachine Learning Platform DIVE
The DIVE Platform can now use image data and context to complement the text-based inferences that DIVE might provide for autoclassification, normalization, prediction, and other data quality and enrichment functions, thanks to its launch Image Recognition capabilities.
FREMONT, CA: Pivotree, a pioneer in frictionless commerce solutions, revealed its DIVE Machine Learning platform now includes an Image Recognition solution. Pivotree has been combining machine learning with master data management (MDM) and product information management (PIM) to automate time-consuming and inefficient manual data processes since the release of DIVE in 2019. The DIVE Platform can now use image data and context to complement the text-based inferences that DIVE might provide for autoclassification, normalization, prediction, and other data quality and enrichment functions, thanks to its launch Image Recognition capabilities. The new DIVE Image Recognition features also enable you to search for related and similar items based on an image.
“Often, retailers and distributors struggle with obtaining go-to-market information from product suppliers. The process is time-consuming, and they don’t always get the level of quality or completeness they need,” said Peter Lui-Hing, Chief Innovation Officer, Pivotree. “By innovating to bring image recognition to our machine learning solution, we can help our clients save time and slash costs associated with onboarding new products and growing product assortment, even to the level of endless aisle.”
The process of gathering and standardizing product data from various sources can take days, weeks, or even months for many businesses, and it often involves outsourcing. Retailers and distributors can accomplish the same mission in a fraction of the time with DIVE, and with Image Recognition, they can do so with greater consistency and reliability. This is particularly beneficial for businesses that have implemented PIM or MDM but are still experiencing process issues that are limiting their Return on Investment (ROI).
“While PIM makes a significant impact on storing and moving data, the tool doesn’t necessarily solve the process challenge of gathering the necessary product content,” added Lui-Hing. “Now, DIVE with Image Recognition can sit right on top of a company’s PIM platform, unlocking the ability to get rapid, reliable product details out to the market. The supplier provides whatever data they have AND an image, and we do the rest.”
Companies selling through omnichannel put a greater emphasis on enhancing product searchability with reliable, full data as more commerce shifts online. Having the ability to derive meaning and detail from photographs to enrich and validate product details allows businesses to concentrate on the consumer experience while streamlining internal processes.
“At Pivotree, we are uniquely positioned to deliver value-added applications and microservices that address the challenges found in complex enterprise commerce environments. This new solution helps eliminate friction across the board” for the retailer, distributor, supplier, and customer,” said Mike Leibovitz, Vice President of Product Management, Pivotree. “By extracting and providing such rich content from a single image, it alleviates friction across the value chain, helping you shift your time and focus from ‘tasks’ to value-added activities. Ultimately, that allows you to deliver a more frictionless, exceptional experience on the front end to your customers.”