Case study
Predictive Analytics System
Nitor Infotech helped a leading PVC Pipe Manufacturer develop an AI/ML Model that predicts their payment defaulters, enabling recovery efforts to be channelized.
This case study discusses how this Cognitive Engineering based solution reduced accounts receivable by 75% and lowered the average delay of payment to 20 days within 24 weeks of implementation.
Case study Highlights:
Their challenge: Difficulty in managing the accounts receivable (A/R) from a majority of the customer’s distributors and a considerable backlog of overdue payments
Our Solution: A solution that could create a data warehouse with all historical sales data and generate a data pipeline
The Impact: The system helped the customer assess payment history, offer incentive-based programs, and reduce outstanding receivable amount by 75% in 24 weeks
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- Our customer
- Business challenges
- Nitor Infotech approach
- Nitor Infotech solution
- Technology stack
- Benefits achieved
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