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

Advancements in artificial intelligence, coupled with the rise of messaging apps, are fueling the development of chatbots - a virtual companion that integrates into websites or instant messengers and helps entrepreneurs to get closer to customers. Chatbots  have been a trending point of discussion for the last couple of years. Many businesses have put them to use for customer support, acquiring new customers, up-selling and cross-selling their products and services. Imagine a world with chatbots. Where there is no long wait for the response from customer care executive. Where there is no wait to get connected with service provider. Wouldn't it be amazing as those those unproductive hours of the day browsing the internet or trying to get in touch with someone can be transmuted into something useful. Dont you feel that having chatbot for your business will lead to an improved customer satisfaction and engagement?


Using chatbots is more cost-effective for companies than hiring human resources. Like humans, different chatbots can execute a wide range of tasks from simple consulting to accomplishing purchases and bookings for customers.In doing all this, chatbots never get tired or ill. They don’t ask for paid vacations or extra money for working night shifts, unlike employees. Chatbots deliver fast and direct replies. They need less than a second to match requested information with a knowledge database and produce an output. They don’t spend time on guessing, searching, and opening lots of browser tabs like humans do. Chatbots allow companies to constantly remain in touch with their users and not lose the chance to convert them into loyal clients. There are no lunch breaks and non-working hours for chatbots. Users are also glad when they can get help from customer service at any time of the day, week and year exactly when they need it.


Two major phases in a chatbot development is Natural Language Understanding(User Intent Detection & Entity Extraction) and Natural Language Generation(Response Generation). Message processing begins from understanding what the user is talking about. NLU Module relies on different machine learning and deeplearning based algorithms for intent classification & entity recognition. Response generation is the challenging task that is done either based on a predefined repository or by some machine translation techniques.

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 take many forms, such as single images, video sequences, views 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 person X likes Apple, and person Y likes Apple and Grapes, then person X might like Grapes as well.


  • Content based filtering

    TThis 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 Analysis and Market Basket Analysis looks almost exclusively at content. This type of statistical analysis relies on only the simplest of calculations to find items that are frequently consumed together. Association and Market Basket Analysis are at the core of ecommerce recommendations under the heading “customer who bought this also considered these” or “items bought together” which is a staple at Amazon.


  • Clustering

    With this approach, the recommendation engine tries to build recommendations based on the similarities between either the users or the items themselves.


08

June, 2018

How you build a basic ChatBot.

A basic chatbot isn’t that hard to build. In JavaScript, write a public REST endpoint to connect a Facebook page to some chat logic (botly is a popular option) and deploy the whole thing to run on a cloud platform.

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