Machine Learning, zCase Study

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.

Business Need Addressed

Provide Client users with easy access to the relevant information and key insights related to their customers and prospects.

Trantor Solution

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

Project Goals

  • 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 Problem

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

  • 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

The Benefits

  • 10x improvement in the amount of news and social feeds being processed
  • 70% manual efforts removed for content tagging
  • 50% improvement in data relevancy

Next Steps

If you want to discover more about Trantor Inc. Services, Please Contact sales@trantorinc.com.

The Client

  • Trantor team understood our requirements quickly and provided a solution that was much to our satisfaction.
    CTO

Project Highlights

Tech Stack Used:

  • ML
  • Ruby on Rails
  • ROR

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