Client Wanted to Upgrade Its Sales Tool with ‘News & Social Feed Aggregation’ Capabilities
A Saas tool that connects sales and business development professionals to their customers and prospect.
A Saas tool that connects sales and business development professionals to their customers and prospect.
Provide Client users with easy access to the relevant information and key insights related to their customers and prospects.
Using a mix of ML algorithms and NLP, the Trantor team upgraded the tool with ‘BDG (Big Data Grinder) – news and social feeds aggregation’ capabilities to provide its users with relevant prospect insights, faster
Curate relevant information about users’ customers and prospects
Classification and analysis of the curated data based on company, person, and location
Seamless distribution of key insights & information to users
The existing version of LinkYogi was good enough for users (sales professionals and business analysts) to connect with their customers and prospects. But it didn’t provide them many details, which can be relevant to establish a strong connection with them.
Identify social media and news mentions of customers and prospects over the web & filter out the relevant information
Classify the data based on company, person, and location and allow users easy access to the information relevant to them
Embedded BDG (Big Data Grinder) capability to aggregate news and social feeds from multiple sources using Machine Learning from multiple resources
NLP-backed analysis filters the curated content based on company, person, and location
Developed client interfacing system in Ruby on Rails for sending scheduled data feeds to registered tenants
Automated distribution and alert system for users to have seamless access to the information relevant to them
10x improvement in the amount of news and social feeds being processed
70% manual efforts removed for content tagging
50% improvement in data relevancy
Tech Stack Used:
ML
Ruby on Rails
ROR