A STRANGE TITLE YOU MIGHT THINK FOR AN ARTICLE, BUT IT’LL BECOME CLEAR LATER…
Many households during the last few months have seen an increase in the amount of home baking going on and ours has been no different. The shouts of “Can I do some baking?” have been coming regularly from my kids, and thankfully a local bakery has been able to keep us well supplied with flour, and a local pub has supplied us with yeast.
The fresh bread and cakes have been a welcome addition to the tea breaks, but a recent broken electric whisk has limited some of the recipes unfortunately, and my search for a new one has in in turn led me to write this piece….
Doubling of online grocery sales. 33% increase in ecommerce. As much as quadrupling of online sales in home entertainment, from streaming services to wine, beer and liquor.
Over the past 8 weeks, RichRelevance has witnessed a spike in traffic that mirrors the holiday shopping week around Thanksgiving. Said another way, it seems that now every day is Black Friday.
But can your real-time personalization provider handle this?
RichRelevance couples sophisticated Deep Learning with Natural Language Processing technology, with Real-time Shopper intent to realise true 1:1 personalisation
LONDON 8th MARCH 2019 – RichRelevance, the global leader in Experience Personalisation, today announced the Winter ’19 Release of enhancements to its Personalization Cloud, which harnesses new Deep Learning AI technology to help retailers and brands achieve long-lasting engagement and attention from customers, through Hyper-Personalization.
RichRelevance announced new features that allow digital leaders to apply Deep Learning (DL) and Natural Language Processing (NLP) to create a memorable, relevant shopping experiences at scale. These latest enhancements to the Personalization Cloud, Hyper-Personalization, advance the industry beyond basic segment-based personalization to engage every customer as an individual with inspiring content, offers and promotions in real-time and at scale. The result is that digital marketing leaders understand each shopper’s unique goals throughout the customer lifecycle, and can deliver consistent, branded experiences across all channels to drive digital growth.
In this Q&A, Raj Badarinath, VP Ecosystems at RichRelevance, explores natural language processing: what it is and what the future holds for this technology.
What is the technology behind natural language processing?
Simply put, NLP, or natural language processing, is the technology that allows for real-world data to be understood and processed by computers.
RichRelevance, a provider of personalization technologies, has released the Winter ’19 version of Personalization Cloud, enhanced with deep learning and natural language processing (NLP) to help marketers engage every customer as an individual with inspiring content, offers, and promotions in real time and at scale.
New NLP for Recommend™ extracts textual insights to help promote new and long tail products immediately, and learns from in-session signals to increase relevance in real-time
Xen AI auto-discovers meaningful customer segments and affinities to rapidly identify under-performing and hidden segments and detect opportunities for increased revenue
Shoptalk 2019 – Las Vegas, NV – March 6, 2019 – RichRelevance, the leader in Experience Personalization, today announced innovations that allow digital leaders to apply Deep Learning (DL) and Natural Language Processing (NLP) to create the industry’s most memorable, relevant shopping experiences at scale. These latest enhancements to the Personalization Cloud, Hyper-Personalization, advance the industry beyond basic segment-based personalization to engage every customer as an individual with inspiring content, offers and promotions in real-time and at scale. The result is that digital marketing leaders understand each shopper’s unique goals throughout the customer lifecycle, and can deliver consistent, branded experiences across all channels to drive digital growth.
Interactive search experience adapts and learns throughout each shopper’s journey to surface products they want to purchase