DIGITAL SOLUTIONS
OMNI CHANNEL SOLUTIONS
The need for omni-channel UX has arisen because connected consumers are now interacting in evermore varied and unpredictable ways, often transitioning between channels throughout a single transaction and throughout the service lifecycle relationship. Excellent customer engagement requires the right omni-channel strategy, partner ecosystem, and technology infrastructure to meet customer expectations.
WE help business leaders identify, plan, and launch those omnichannel services that are right for their customers, measure their impact on customer retention and the bottom line, and optimize offerings over time. We ensure providing business solutions that are entirely worth the investment, ensuring satisfied, returning customers and that can create the potential to transform customers into brand ambassadors.
BOTS / ARTIFICIAL INTELLIGENCE
Bots are quickly turning in to good and easy way to keep in touch with your customers. By the end this year, an estimated two thirds of consumers in developed markets will use bots daily - be it script bots, smart bots or cutting edge bots. Customers welcomed Virtual (Digital) Assistants on their mobile devices and have now started quick adoption of "Conversational UI" themed bots - thus leading to what some call "Conversational Banking". WE assist our customers in developing bots that can help users answer business queries quicker and more easily. Bots, for example can act as an investment advisor, help trading Bitcoins, or even managing expenses.
ROBOTIZATION
Institutions cannot enhance digital maturity by just servicing customer needs through fancy UX and digital channels alone - and not evolve internally. The need of today is to eliminate manual/repetitive processes and make way for automation and quickly jump to deployment of maximum "Virtual Workers" through artificial intelligence. Designed right, Virtual Workers can perform FO, MO & BO tasks very efficiently and can be designed for short term goals (stop-gap solutions) as well as long term solutions.
Banking & Insurance sectors have been the highest adopters of robotized techniques due to the major cost reduction pressures. WE have deep experience supporting some of the largest and most sophisticated businesses in the world. Examples of uses include card management for issuing replacements for lost or stolen cards, and reversal of charges, predominantly from customer-facing websites; credit check and instant approvals; moving data for claims processing, mortgage processing etc.
MACHINE LEARNING
Machine learning is based on algorithms that can learn from data without relying on rules-based programming. Big data has increased the potential of machine learning - and the need for it.
Financial processing and decision-making could be enhanced by machine learning technologies that allow automated data processing and decision making (such as credit-related) quicker and efficient. Fraud detection techniques can also be made extremely efficient and effective with the help of machine learning. Machine learning can also be used in developing algorithms that can assist in trading decisions or detecting patterns from massive amounts of data that capture the underlying stock market dynamics.
WE are helping our customers develop solutions that can analyse historical transaction data and build a model that can assist with detection of fraudulent patterns; automatically perform sentimental analysis based on end customer reviews and help decide their churn and loyalty.
AUGMENTED REALITY
Augmented Reality (AR) is a method of enhancing and improving one's view of the real world by transforming the physical environment with computer-generated sensory inputs such as graphics, sound, video or GPS data.
Mobiles/Tablets are being used for 3D content display of whatever point or location a user points it towards in real time. Augmented Reality Solution is thus a new way of interacting with dynamic media content.
Delivering an extra layer of digital information through scanning specified images, converting into augmented reality display in the application is adding a new dimension to user experience.
WE have been assisting banks in enrich user experience by implementing several AR centric use cases such as:
- Help their customers locate nearest branch or ATM
- View offers and deals as a customer walks into a mall or a retail outlet
- Show users recent transactions by just pointing at the user's debit/credit card
ANALYTICS
With enormous amount of data, the questions posing businesses have changed from “what happened and how did it happen” to “what will happen next”. Not stopping there, market leaders are asking “what is the best that can happen and what is the worst we can withstand”.
To be able to answer such questions, companies need to mature in their capability encompassing people, process, technology, skills etc. for them to be able to have a formidable solution that can help realize higher value from their business and market data. InfrasoftTech with its most evolved algorithms linked to KPI based solutions help enterprises irrespective of their as-is state - from being completely unaware, Inconsistent but opportunistic, to standard based but working in Silos to extending the same at an enterprise level and then eventually help emerge a leader with transformative solutions.
InfrasoftTech uses several Big data technologies to efficiently process large quantities of data within business mandated elapsed times. We suggest suitable technologies include association rule learning, classification, cluster analysis, crowd sourcing, data fusion and integration, genetic algorithms, machine learning, natural language processing, pattern recognition, predictive modelling, sentiment analysis, supervised and unsupervised learning. We also leverage Massively Parallel Processing (MPP) databases, search-based applications, data mining grids, distributed file systems, distributed databases, cloud computing platforms, the Internet, and scalable storage systems as required to meet your analytics demands.
INTERNET OF THINGS (IoT)
There are now more smart "things" than people today, collecting and connecting valuable data designed to facilitate the way we work. Based on a recent Forrester survey, Decision Makers acknowledge IoT has become a top business priority and they are assessing solution feasibility and, in some cases, already investing in it.
InfrasoftTech believes collaborative approach between business and technology groups is a prerequisite for organizations to succeed with their IoT solutions since these solutions will be disruptive, to the very least, and hence will force a change to current processes, require different skills, and most importantly – evolve mind sets to adopt the changes.