Data Analytics & AI for All

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AI and its transformative interventions are no longer limited to likes of global tech giants and blue-chip companies. AI is ultimately going to transform every business, in every industry. The obvious applications lie in improving products and services. This can be as simple as automatically recommending a related product to every customer who bought a particular product, based on the preferences of other customers. Or it can be as complicated as fully automating an entire production line.

Quadratyx offers a spectrum of solutions that range from simple-yet-intensive analytics with existing data collection mechanisms to complex, holistic plant management solutions.

AI IN ACTION

OUR SELECTED CUSTOMER SUCCESS STORIES

Converted from 12hrs 5days to

24/7

Customer Support

Engage citizens with

Personalized Recommendation

Single effort for Multilingual Support

Languages

Operating Help Desk Center for New-age Governance

Industry: Government

With exponential rise in digital device usage, GoI is pushing for a new master citizen-centric app, a single platform, to access multiple citizen centric services ranging from Central to Local Government services and other citizen centric services for all Indian citizens.

Current Unified Mobile App has the many limitations like – feature phone users cannot leverage the service, limited reach, support available only for 12hrs*5days/week. Quadratyx deployed SRIA – an end-to-end voice bot solution that can be accessed from smartphones, feature phones & landlines.

AI for Voice Transcription – Voice to Text Software

Industry: Knowledge Platform

Voice to text transcription has long been an important job in medical, legal and media businesses. Our client, Hongkong based knowledge-sharing platform company, is manually recognizing errors in the outputs produced by an automatic speech-to-text (ASR) solutions provider.

To improve the accuracy and TAT, our client switched to Quadratyx AI – powered speech cognitive services hosted on cloud:

Automate error recognition & improve accuracy
Review workflow & UI for human analysts for QA
Learn common mistakes & improve quality of ASR

Provides completed transcripts in

<5 min

Average time to save Final Document Reduced from

3 to 1 day

Up to

95%

Word Accuracy

Data-driven Accurate Forecasting

Improved Data Quality

Visualization Dashboard

Productivity Prediction For Product Demand Estimation

Industry: Agricultural

Fertilizer companies depends on many natural & market factors in a region, such as rain fall (before/after sowing), extent of area sown, etc. While all this data has a direct impact on the demand, sales and consumption of fertilizer products. Today, especially in developing countries, at the government level as well as some companies, most of the forecasting is heavy relied on team judgment.

Quadratyx built a fertilizer demand forecasting model in two phases using predictive analytics and big data technologies:

Phase 1: Built over 600 predictive models district wise, crop wise, accurate demand forecasting models

Phase 2: Similar models at the mandal level. Also, move from demand forecasting to sales forecasting.

Other opportunities to enhance business intelligence using AI and analytics.

Fashion & Accessories

Enhance product development processes – by augmenting designer skills.
Enhancing demand forecasting accuracy – based on real-time sales, weather and other factors.
Product pricing plan – depending on external elements like discounts, stock, and contenders’ out-of-stock circumstances.
Context-based recommendation engine – improve cross-sell and reduce customer churn by showcasing most relevant and personalized assortment dynamically.

Railways

Track Defect Detection – through image analysis
Data Management and simple to complex analytics
Optimized processes – including booking, asset allotment, resources though automated recommendation systems
Reduced downtime for maintenance of assets – through predictive analytics

Social Development

Evidence-based policy making at the government level.
Scientific breakthroughs – by analyzing vast quantities of healthcare data.
Predictive analytics – for budget allocation and bid optimization to achieve government goals.
Pattern recognition – to promote public safety and reduce crime.

Agriculture

Predictive Analytics for Crop Yield – Machine learning models to track and predict environmental impacts on crop yield.
Detect Image Recognition – To identify defects/diseases/pests in plant, soil, etc.
Recommendation Engine- ML models that provide treatment options for most common diagnosis of soil and yield defects.
Crop Analysis – Drone monitoring and image analysis for detecting crop yield, pest invasion, diseases and weeds.

Renewable Energy

Real Time Demand-Response Prediction – using game theory algorithms and blockchains to protect data.
Predictive Maintenance – Analytics drive maintenance scheduling and reduced down-times
Optimized distributions systems – through routing models
Improved Customer Experience – through IVR and extreme personalization

Government

Cognitive computing – to better understand citizen needs and build smarter cities.
Automate repetitive tasks – no matter how complex – save money and time.
Support national defense – predictive maintenance to ensure mission readiness.
Link local authorities – collaborate with other organizations with data.