Vijaya Bank Case Study


Vijaya Bank was a public sector bank with its corporate office in Bengaluru, Karnataka, India. Vijaya Bank was one of the nationalised banks in India. Vijaya Bank offered a wide range of financial products and services to customers through its various delivery channels. Vijaya Bank had a network of 2031 branches (as of March 2017) throughout the country and over 4000 customer touch points including 2001 ATMs.

The bank’s total business is over ₹2,29,000 crore comprising deposits of ₹1,33,012 crore and advances of ₹96,821 crore as at 31 March 2017. Basically being a retail bank, its topline growth owes quite a lot to the retail segments. Retail advances of the bank constitute 30% of the gross credit.

As on 31 March 2017, Vijaya Bank had a wide branch network of 2031 branches. Improving the presence and performance under alternative delivery channels, especially internet and mobile banking channel are key focus areas of the bank. The bank has 2001 ATMs as on 31 March 2017. Vijaya Bank provides access to over 2.21 lakh ATMs connected under National Financial Switch across the country.

Vijaya Bank has provided sanitation facilities to 56 govt. schools mostly in rural areas. Vijaya Bank has established 32 rural health centres where patients are provided primary healthcare and medicine free of cost. It has also has devised a unique programme to adopt girl children. The policy of Girl Child Adoption was introduced by Vijaya Bank in 2011 under which the bank adopts girl children from SC/ ST/ OBC/ economically weaker sections / backward areas/ poor families from the age of 5 years onwards to promote girl child education, mostly from rural and backward areas. Vijaya Bank has adopted 1163 girl children all over the country.

The Challenge

As Vijaya Bank is growing at huge rate, say it in terms of retail business, data & information, scripted knowledge, tasks etc. Increasing in scale also increase entropy in system, demanding huge number of tasks to be automated, and centralized. So Vijaya Bank was planning for Artificial Intelligence for implementing in machines. Artificial Intelligence can surely process all trivial tasks at huge pace compared to humans.

Vijaya Bank wanted to understand Artificial Intelligence features such as Supervised, Unsupervised and Reinforcement learning, Algorithms used for Learning: Linear Regression, Logistic Regression, KNN, SVM, Decision tree Classifier etc. Initial Projects: Sales Prediction based upon expense analysis, Species Classification of flowers Artificial Neural Networks (ANNs): Concept, Feed Forward Neural Networks and Back Propagation , Computer Vision & Image Recognition Techniques: – Feature Extraction using Open-CV


Machine Learning is one of the widely used algorithms of Artificial Intelligence thru which most of the tasks would be automated. iFuture Technologies training topics included the learning process involving the enhancement of new declarative knowledge, the advancement of cognitive and motor skills through practice or instruction.

The smooth operation of the banking world that is done through computers and networks is possible only because banks use Artificial intelligence. Research associated with artificial intelligence is highly technical and specialized. The core problems of artificial intelligence include programming computers for certain traits such as:- Knowledge , Reasoning , Problem solving, Perception, Learning, Planning, Ability to manipulate and move objects.

Artificial Intelligence would have a low error rate compared to humans, if coded properly. They would have incredible precision, accuracy, and speed. Replace humans in repetitive, tedious tasks and in many laborious places of work. Can also detect fraud in card-based systems, and possibly other systems in the future.

Business Impact

Artificial intelligence should help Vijaya Bank in increasing revenue, faster decision making and having a good customer relationship. Artificial Intelligence has enormous ability to detect and minimize banking fraud. The tool that is used for Artificial Intelligence gets smarter and smarter day by day.

Artificial Intelligence helped in the movement of large cash inflow and outflow in Vijaya Bank. Artificial Intelligence helped in dealing with cashless transactions from any place and at any time. The ultimate aim of Artificial Intelligence was to provide personalized and high quality customer satisfaction along with efficient and time saving services .