Our Services

We are Young, But Bold

AI CHATBOT

We have experience in creating closed domain bots for long conversations where a number of questions can be asked from the Chabot to reach a final conclusion to deliver proper recommendation results.

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Recommendation Engine

Developing personalized recommendation system based on a huge volume of data. Our algorithm running over sales data can be integrated into various online services and e-commerce websites

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VOICE BIOMETRICS

A world where voice-enabled devices could understand your language and interact with you in more human way.Technology that will capture a person's voice and compare it with the recorded voice pattern.

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AI CHATBOT

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Your Virtual Assistant

The invention of messaging apps had fueled the customer-business relationship for a very long period even if it had limitations. Companies were moving forward and started to provide customer services using these messaging apps by implementing on the website and other messaging apps. These human-powered messaging apps have many limitations that had to be resolved in order to deliver better customer-oriented services.
The recovery was possible by incorporating an artificial intelligence engine and letting the virtual intelligence to converse with the customers.


This idea brought the chatterbots commonly known as bots into the action. These are self-sustainable, self-learning intelligence with very low error rates and provide accurately crafted outputs in lesser time and works always.
Chatterbots are not just an app that converses with a person the way he expects, it is powerful enough to do lead generation, customer support, customer-business relationship building, up-selling and cross-selling etc.
The sublime part of chatbot is, it doesn't make anyone wait for the response for a long time. Human beings usually take 1 - 3 minutes to respond to a query and it may or may not contains errors like typos. Chatterbot processes user queries and provides solutions within seconds with no compromise on response quality. This increases the customer satisfaction level and loyalty because they don't have to spend their valuable time on your website for any sake that may or may not be happened because of you.


Chatterbots are cost effective than human resources. A one-time investment on these will provide benefits for a long time. A chatterbot is capable to handle multiple altitudes of tasks whether it is customer support or procuring process it works across without any complaints. Since it is a machine, it doesn't ask for paid leaves or a salary raise.
Two main chatbot development phases are Natural Language Understanding (User intent Detection & Entity Extraction) and Natural Language Generation. When a user raises a query, message processing begins and understands what the user is talking about. Natural Language Processing works on by relying on deep learning and machine learning algorithms. Response generation is the major challenge that should be overcome either through predefined repository or machine translation methods.

Our USP

Response Rate

Precision

Scalability

Usability

VOICE BIOMETRICS

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Did you ever imagine a world where voice-enabled devices could authenticate you from your voice, understand what you are speaking and interact with you in more human way? Just like the 'Jarvis' in Ironman. It's an amazing fact that we have already accomplished the task of identifying the speaker from the voice and understanding our natural language to a human-made machine. The voice of each individual is unique just like fingerprint, iris...etc. This makes voice to be used as a biometric to authenticate each person in a unique way. Voice Biometrics technology identifies and models unique patterns (voice prints) in voice that can be later used to verify the identity of speaker. Voice biometric technology offers an easy and hassle free way of authentication without compromising the security. It lowers the risks associated with traditional way of authentication that requires passwords or sharing of data. The people become more and more comfortable with biometric authentication, enterprises are using multi-modal biometrics to improve security while keeping customers happy. The popularity of voice based authentication has shown a significant growth over past few years. As per opus Research, the number of voice prints will be more than half million by 2020. At SysG Soft Solutions, our sophisticated AI powered voice biometrics technology can identify a person's identity using his voice with utmost accuracy even in the challenging conditions like noise, reverberation...etc. Even a minor sound variation due to the person's sickness will not affect its outcome as it is trained to overcome such glitches. Our voice biometric system assures consumers that there will be maximum protection against identity theft and fraud. Most surprisingly, we failed while trying to mimic the voice and get access using someone else identity during the testing phases. Our solution can be integrated into web based applications and mobile apps applications across iOS, Android and Windows platforms. Its Applicability is endless,

Mobile devices are more personal nowadays and even used for making payments and purchases. Voice biometrics enabled mobile phone will eliminate the difficulty of memorizing all password credentials which may get hacked by hackers. Since it's too risky nowadays, we should encompass more personalized security features to our gadgets.

Enable voice biometrics to give access to the web applications instead of conventional password identification method. The API is simple to add and will work seamlessly across all devices. This feature will be handy if you are a banking or E-commerce service provider.

The voice biometrics and voice enabled services can bring drastic changes to the healthcare industry in a way that it can automate the repeated procedures such as filling up of registration forms and writing prescriptions etc.

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COMPUTER VISION

Auto-recognition and description of images and video. Computer vision identifies people, places and things in images with utmost precision and accuracy with great speed and efficiency. Using computer vision, automation of information classification, extraction, analysis and understanding from a single image or sequence of images is obtainable. The image data can adopt many forms, such as exclusive images, video series, scenes from multiple cameras, or three-dimensional data. Its applications are limitless. For example identifying defects in high speed assembly lines, Autonomous robots. Analysis of medical images , Identifying products and people in social media.

AI Recommendation
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Recommend the Right

Developing personalized recommendation system based on a huge volume of data. Our algorithm running over sales data can be integrated into various online services and e-commerce websites. We develop personalized recommendation system considering various factors such as consumer’s age, gender, marital status, geolocation, etc.
A recommendation engine is a system that has ability to predict what customers may like to purchase next. As mobile apps and other advances in technology continue to change the way users choose and utilize information, the recommendation engine is becoming an integral part of applications and software products. Recommendation engines can be built using multiple approaches. One approach is that it uses the properties of the prouducts that a user likes, bought and views to identify what else the user may like. Other approach rely on the likes, views and purchase history of users, to calculate a similarity between users and then recommends items to them. More robust recommendation engine can be built by combining both of these approaches.


  • Our recommendation system guides the customers to purchase relevant products based on his tastes and preferences thereby helps to increase customer engagement.

  • Increases customer’s satisfaction by delivering relevant contents.

  • Helps to increase sales with cross sell options.

  • Our recommendation system guides the customers to purchase relevant products based on his tastes and preferences thereby helps to increase customer engagement.

  • Increases customer’s satisfaction by delivering relevant contents.

  • Helps to increase sales with cross sell options.


Developing personalized recommendation system based on a huge volume of data. Our algorithm running over sales data can be integrated into various online services and e-commerce websites. We develop personalized recommendation system considering various factors such as consumer’s age, gender, marital status, geolocation, etc.

TYPE OF RECOMMENDATIONS



  • Collaborative filtering

    This type of recommendation system is based on the taste of users. It assumes that if a person X likes Apple, and person Y likes Apple and Grapes, then person X might like Grapes as well.


  • Content based filtering

    This system focuses on the products themselves and recommends other products that have similar attributes. It depends on the characteristics of the products themselves, so it doesn’t rely on other users to interact with the products before making a recommendation.


  • Association or Market Basket Analysis

    Association and Market Basket Analysis might look similar. This sort of statistical analysis relies on simple calculations to find items that are frequently consumed. These Analyses are at the heart of e-commerce recommendations widely used in the label of “customer who bought this also considered these” or “items bought together” which is a staple at Amazon.


  • Clustering

    With this approach, the recommendation engine attempts to create recommendations based on the correlations between either the users or the items themselves.