English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

In this paper, we design a real-time question-answering system specificallytargeted for helping sellers get relevant material/documentation they can sharelive with their customers or refer to during a call. Taking the Seismic contentrepository as a relatively large scale example of a diverse dataset of salesmaterial, we demonstrate how LLM embeddings of sellers' queries can be matchedwith the relevant content. We achieve this by engineering prompts in anelaborate fashion that makes use of the rich set of meta-features available fordocuments and sellers. Using a bi-encoder with cross-encoder re-rankerarchitecture, we show how the solution returns the most relevant contentrecommendations in just a few seconds even for large datasets. Our recommendersystem is deployed as an AML endpoint for real-time inferencing and has beenintegrated into a Copilot interface that is now deployed in the productionversion of the Dynamics CRM, known as MSX, used daily by Microsoft sellers.

A case study of Generative AI in MSX Sales Copilot: Improving seller  productivity with a real-time question-answering system for content  recommendation