Suffering from low Product-Clients matching?

Before

• 
  Poor Clients engagement
• 
  Clogged selling opportunities

After

• 
  Enhanced Engagement by 51%
• 
  Strategic Timing for Outreach

Book Meeting

Learn More

Suffering from low Product-Clients matching?

Before

• 
  Poor Clients engagement
• 
  Clogged selling opportunities

After

• 
  Enhanced Engagement by 51%
• 
  Strategic Timing for Outreach

Book Meeting

Learn More

About

• An Omni-Channel Clients Platform that uses Machine Learning for financial corporations to understand, anticipate and engage with their Clients.
• The client was a startup which was trying to get from the concept to the first Minimum Viable Product. This project was particularly complicated because there was a large aspect of machine learning involved.

About

Problem/Pain points

• Bloating Churn numbers
• Clogged selling opportunities
• Muted Clients engagement and NPS

Problem/Pain points

Context

• Many slipped sales opportunities & low Clients engagement?

• Hungry to Identify potential Product-Clients match based on behavior?
• Need reliable Early identification of churn and opportunities?
• Looking to group Clients based on similar behavior
• Grappling with blurry or regularly missed forecasting targets?

Context

Solution

• Created an AI solution that boosted Clients engagement > 50%,  sharper product-Clients fitment.

• Using Advanced ML and Data Science
• Recommended the right time to reach out to a Clients for upsell and cross-selling opportunities
• Improved NPS
• Boosted sales

Book Meeting

Solution