Using our Powerful Minsky AI Engine, we completed the following sample projects:

 

Sales Forecasting:

 

The objective of this project was to predict the weekly sales for a Retail corporation by store type, store location based on past data and future economic parameters like CPI, fuel price, unemployment. This helped the client to improve cash flow and manage the Supply/ demand for the products sold. The future economic forecast data is collected from external sites and databases using Robotic Process Automation (RPA).

 

Energy Forecast:

 

Allocation of power (to meet real time demand) between traditional power and alternate power has become a challenge worldwide. The aim of this project was to predict how much power is available from alternative energy based on geo location, temperature etc. This helped the client to make better decisions on utilization of other sources of energy. 

 

Customer Churn:

 

Customer churn has created huge concerns in the highly competitive service sectors and especially in the telecom sector. The aim of this project was to build a customer churn model using AI (Artificial Intelligence) to predict whether certain customers would leave in the future. This helped the client to retain customers for the long run which improved revenues and business continuity.

​

Employee Retention:

 

Typically, employee attrition is a major challenge for companies worldwide. The objective of this project was to predict employee attrition for a multinational software-based company on parameters like Supervisor, wages, distance from home, tenure with company, travelling, overtime etc. This helped the client to make better decisions to curtail employee attrition rate. Current employee related data is collected from company’s internal databases / HR systems using Robotic Process Automation (RPA).

​

Insurance Fraud:

 

Globally, workers compensation Insurance fraud has become a major concern for all the insurance companies which is continuously increasing year by year. The aim of this project was to build an AI model in order to rate the claims so that the SIU teams can process the cases according to the risk levels. This could lead to significant savings by eliminating fraudulent claims. This led to improved revenues and business continuity in the long term.

 

Predictive Maintenance:

 

The Client was a large Water Utility that needed to predict failure for their water pumps. AI Modes were generated for the equipment using historical data parameters for the pumps along with the past equipment downtime instances. Then, real-time equipment data was gathered from the remote equipment using IoT sensors and uploaded to our secure cloud. 

 

RPA for Payroll Processing:

 

The Client is a large innovative, knowledge-based energy and utility enterprise serving the Power, Water and Environmental sectors and provides IT solutions for Energy/Hydro industry. With offices in multiple countries, the HR Department handles various processes such as talent acquisition payroll processing etc. Each of these processes comprise of several activities that are repetitive and time consuming but critical for employee satisfaction.

​

RPA for Application Support:

 

The Client is a large Power Distribution Company based in Europe where we provide 24/7 Software Maintenance Support from our remote engineering centers. We provide support for several applications such as SAP, MS Azure, Oracle, Primavera, eWay, IBM Integration Bus (IIB), Microsoft Business Intelligence, Websphere, Weblogic, Alfresco, etc. by Class of Service required (platinum, Gold 24X7, Gold 12X5, Silver, Bronze). Incident management is handled by ServiceNow (SNOW).

 

RPA for HR Automation:

 

The Client is a large innovative, knowledge-based energy and utility enterprise serving the Power, Water and Environmental sectors and provides IT solutions for Energy/Hydro industry. With offices in multiple countries, the HR Department handles various activities such as on-boarding, termination, off-boarding etc. Each of these processes comprise of several activities that are repetitive and time consuming but critical for employee satisfaction.