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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.
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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 –Â 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.
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:
Provides completed transcripts in
Average time to save Final Document Reduced from
Up to
Word Accuracy
Data-driven Accurate Forecasting
Improved Data Quality
Visualization Dashboard
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.
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