Client Wanted to Upgrade Its Sales Tool with ‘News & Social Feed Aggregation’ Capabilities
Trantor team understood our requirements quickly and provided a solution that was much to our satisfaction.
Business problem
Provide Client users with easy access to the relevant information and key insights related to their customers and prospects.
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
Solution delivered
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
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
Results
10x improvement in the amount of news and social feeds being processed
70% manual efforts removed for content tagging
50% improvement in data relevancy
ML
Ruby on Rails
ROR
