Our notification system is designed to trigger event-based notifications to users of different hierarchies in real-time. The system is highly configurable and can be adjusted to meet specific business needs.In addition, our recommend- er systems and business rules generate recommendations to help companies make informed decisions.

Our artificial intelligence-powered deal insight generation service provides businesses with real-timeevent-based in- sights into their deals. These insights help sales reps to take necessary actions and increase the winning probability of their deals.

Our AI-powered recommendation system provides businesses with up-sell and cross-sell opportunities by recommending critical actions such as price adjust- ments, follow-ups, and next-step recommendations. This helps companies to maximize their sales potential and improve their bottom line.

Our conversation analysis service leverages the latest NLP techniques to analyze client calls and generate re-ports. The reports uncover insights and pinpoint the topics or discussions that felt weak or negative to the client. This information can then used to improve the overall customer experience and strenthen customer relationship

Our solutions leverage statistical modelling and machine learning to provide robust and accurate assessments of credit risk. On top of FICO and Vantage Scores, our models develop use case based Scores for the customer. Our Credit Risk Solutions include credit scoring, credit card default prediction, determining credit limits, per- sonalized interest rates, and up/downgrading of custom- er profiles – to name a few.

Customer Churn Prediction and Retention: Most of the Retail banks report Churn rate between 20% - 25%. Our AI solutions help financial institutions predict customer churn before it would actually happen, thereby trigger- ing a signal to prevent avoidable churns and design ef- fective retention strategies to improve customer loyalty and reduce attrition.

Our solutions use machine learning to automate a wide range of back-end processes, including loan processing, claims management, and more, freeing up time and re- sources for financial institutions to focus on core business activities.

Many regulatory compliance practices in banking are new and evolving, with stringent implementation time- lines that put greater pressure on banks. These institu- tions, both small and large, face challenges keeping up with the growth of regulations when using legacy ap- proaches that lead them to risks. BFSI organizations can adopt our AI Solutions to streamline compliance process- es and improve productivity. Thanks to the Algorithms’ ability to process massive data logs and deliver meaning- ful insights, our AI solution can give financial institutions a competitive advantage with real-time updates for simpler compliance management.

Advanced NLP in Customer Support: Our solutions lever- age NLP (natural language processing) to deliver context-based chatbots and ticket-raising systems for customer support, improving response times and resolv- ing customer issues more effectively

Our AI solutions automate overall digitise the customer onboarding process, reducing manual effort, time of completion and errors. This includes intelligent docu- ment processing, which enables automatic extraction of data from customer documents, automatic and error free AI driven check and faster completion.

Recommendation Techniques: Our recommendation engine uses machine learning algorithms to analyze customer data and behaviour to deliver a highly personalized user experience for each site visitor – this can be catered to particular need of the Ecommerce vendor in real time. We do most of the high end Deep Neural computation backend so the user can get his/her tailor made recommendation extremely fast

Recommendation Techniques: Our recommendation engine uses machine learning algorithms to analyze customer data and behaviour to deliver a highly personalized user experience for each site visitor – this can be catered to particular need of the Ecommerce vendor in real time. We do most of the high end Deep Neural computation backend so the user can get his/her tailor made recommendation extremely fast

Optimal Pricing: Machine learning in e-commerce helps you determine the best and most optimal price for each product thereby maximizing sales and optimizing inven- tory. Our Dynamic Pricing models consider not current demand and profit margin, but also competitor factors into account keeping the Ecommerce company’s pricing advantage on the forefront. Overall, Our in built models allow you to choose the optimal price and display re- al-time discounts based on demand trends and the state of your warehouse.

Customer Retention: For an Ecommerce organization, Customer churn can be defined as the rate at which cus- tomers leave a platform or service. Our state of the art Machine Learning algorithms analyze customer data to find patterns that indicate when a customer is about to churn – both voluntarily (caused by better deals some- where else) and involuntarily (caused by payment related issues). With this information, you can tailor marketing campaigns to keep them on board and improve customer retention.

Secure Transactions: While Ecom Sales were estimated $ 630 B in 2020, approximately $ 16 B were lost due to fraud. With machine learning, our algorithms process vast amounts of customer data to detect genuine transactions and flag potential fraud – Data Breach, Denial of Service, Malware, Spoofing, Ransomware etc. This helps ensure that your e-commerce transactions are secure and protected from any potential threats.

Visual Search: Our investment in AI and image recogni- tion systems helps influence customer behavior and au- tomates processes. Our computer vision technology with visual search capabilities can match customers' photos with similar products sold online, based on their prefer- ences and social media data.

Boosting: Our machine learning algorithms help you de- liver seamless and personalized omnichannel marketing experiences to your customers, resulting in increased conversions and customer engagement.

The quality of manufactured products can be improved through the use of our advanced technologies such as neural networks,high-resolution cameras, and powerful GPUs. Our real-time video processing combined with machine learning and computer vision facilitates the elimination of unusable productsand ensures the correct operation of the factory in a box. IoT sensors and algorithms provide non-invasive testing of products, enabling the detection of potential defects.

The identification of hardware or software behaviors that cause defects can be facilitated through the use of our IoT sensors and machine learning capabilities. Solutions to prevent such defects in the future can also be developed,reducing the margin of error in the factory in a box scenario

Virtual recreations of production processes can be created through the utilization of our digital twin solutions, based on real-time data and IoT sensors. These provide a sandbox for experimentation, allowing for optimization of the environment through machine learning. Layout optimization and quality assurance efforts can also be facilitated through the use of digital twins.

Materials can be evaluated for stability and integrity without causing damage through the utilization of our NDT solutions. Data analysis through ultrasound machines and machine learning algorithms allows for the detection of anomalies such as cracks in materials with greater speed and accuracy.

The improvement of warehouse inventory control through the prediction of demand, reduction of waste, and increase in efficiency can be achieved through the utilization of our machine learning algorithms.