Our Solutions

Pivotchain makes machine learning accessible to our customers. Our solutions are designed for every platform (cloud/on-premise) with self learning & interactive dashboard controls making it easier for our customers to create and maintain models.

Cognitive Chatbots

Entity extraction from unstructured data (images, videos, calls and raw text) and classifying them based on different taxonomy. These data points help build strong customer identity across all source and format of data.

Credit scorecards

Use of 5000+ features from Credit bureau, Loan portfolio performance, Demography & Social media to develop credit underwriting model built on both statistical approach and Machine learning approach.

Alternate Data Scorecards

Built Credit, Risk, Affluence and other scorecards based on Mobile Wallet transactions, SMS transactions & internal portfolio history.

Delinquency Prediction

Predicting potential defaulters among a large, geographically spread loan portfolio for Centralized collections team (comprising of Home, Vehicle, Education loans among others).

Cross-Sell / Up-Sell

Propensity modeling, identifying the right match between products and customers based on customer preferences, needs and attitudes leading to personalized recommendation of products, services, pricing, marketing, sales and communication to customer needs.

Fraud Risk Management

Implementation of a comprehensive program to detect and prevent Credit Card fraud that canceled to a faster and more effective detection, higher visibility of exposure across channels,improved customer retention, lower total cost of ownership, protection of reputation and reduced financial losses.

Churn Prediction

Machine learning based models for customer value and churn prediction to help identify high risk“real” churn targets for tailored treatments (e.g., special retention campaigns, VIP service,liberal fee-reversal policies) and eliminate the “other” churners such as bad payers.

Campaign Analytics

ML models to identify and validate campaign ROI/effectiveness Accurately measure and report different parameters to enrich insights and decision making. Tracking and reporting for online to online and offline to online interactions Setting up dashboards and custom report.

Customer Segmentation

Segmenting customers across multiple dimensions (income, risk, loyalty, service and propensity) to target the consumers & retailers with relevant offers.

Supply Chain Analytics

ML Models to Improve fill rates and deliver growth, Eliminate wastage’s and improve margins,Conduct root cause analysis for excess inventory or stock outs.

Feature & Entity Extraction

Entity extraction from unstructured data (images, videos, calls and raw text) and classifying them based on different taxonomy. These data points help build strong customer identity across all source and format of data.

Predictive Maintenance

Helps in improving asset productivity by using data to anticipate machine breakdown. Machine learning techniques examine the relationship between a data record and the labeled output(e.g., failures) and then create a data-driven model to predict those outcomes.

Demand Forecasting

Machine learning models to reduce perceived demand variability by capturing and modeling the attributes that actually shape demand while filtering out the “noise”— random and unpredictable demand fluctuations.

Operations/Logistics optimization in Real Time

Optimization is a major challenge in every industry. Machine learning models to optimize complex process in real time – determine where to dedicate resources to reduce bottlenecks and cycle time minimizing losses.

Discover New Trends/Anomalies

ML models for Identification of root causes for low product yield e.g. determining root causes for quality issues developed during or outside of manufacturing (during delivery, in supply chain etc.)