- Industries
A/R backlog choking your business? Looking to free your cash flow?
Unearth massive revenue opportunities in your drug portfolio
Lack of scheduling at the machine level vs. work center level
Facing fuzzy and weak matches as you start to scale?
Fed up with manual processes and disconnected systems choking revenue
Fed up with manual processes and disconnected systems choking revenue
Fintech
Pharma
Manufacturing
Advertising
294
Clients
$491M
Client Revenue Generation
106
Countries where Products/Services deployed
13
Years
139
AI Experts
Suffering from low Product-Clients matching?
Before
- Poor Clients engagement
- Clogged selling opportunities
After
- Enhanced Engagement by 51%
- Strategic Timing for Outreach
Suffering from low Product-Clients matching?
Before
- Poor Clients engagement
- Clogged selling opportunities
After
- Enhanced Engagement by 51%
- Strategic Timing for Outreach
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
Solution
