Services

The need of the hour is to keep pace with the ever-changing dynamics of the revolutionising market.
NeuDatics understands these competitive demands and works to create customised solutions that meet your business ambitions.

Industry Verticals

Steering in to make a mark by spreading the analytical effect of Data across the various domains.

Manufacturing

Operations: Preventive fault detection to improve operational efficiency, leading to fewer quality rejections. Thus, streamlining operational workflows ensures better workforce management.

Logistics: Predicting supply chain lead times leads to better inventory management, reducing costs and managing delays due to uncertainties.

Sales: Making an impact by improving the sales revenue and pricing pressures through product portfolio rationalisation, up-sell and cross-sell strategies and pricing optimisation.

Retail

Customer: Understanding customers’ buying patterns to retain the customer base. Strategic planning to create a personalised customer experience to upscale revenues and increase customer footfall.

Logistics: Forecasting the demand and managing the stocks while dealing with rising procurement costs, resulting in better inventory management.

Sales: Identifying newer channels to increase sales and define correct test markets.

Telecom

Customer: New customer acquisition while focusing on customer retention through predictive analysis techniques.

Channel: Addressing product sensitivity and optimising market shares through optimising product-channel mix.

Operations: Improve service quality by reducing call drops and service reliability using simulation techniques and trend analysis.

Agritech

Farmers: Affecting factors such as climate variations and weather conditions, soil dilapidation/ fertility decline, and determining time series data for crops are areas of concern.

MQTT Broker: We develop Crop Yield Prediction Models by combining the observations using environmental sensors, soil sensors, and weather station data. Create a primary admin console to monitor & review model performance to channelise strategies based on real-time insights.

Operations: Better prediction based on classification models and a REST API interface demonstrating newer prospects for innovation, efficiency, and sustainability.

Manufacturing

Operations: Preventive fault detection to improve operational efficiency, leading to fewer quality rejections. Thus, streamlining operational workflows ensures better workforce management.

Logistics: Predicting supply chain lead times leads to better inventory management, reducing costs and managing delays due to uncertainties.

Sales: Making an impact by improving the sales revenue and pricing pressures through product portfolio rationalisation, up-sell and cross-sell strategies and pricing optimisation.

Retail

Logistics: Forecasting the demand and managing the stocks while dealing with rising procurement costs, resulting in better inventory management.

Sales: Identifying newer channels to increase sales and define correct test markets.

Telecom

Customer: New customer acquisition while focusing on customer retention through predictive analysis techniques.

Channel: Addressing product sensitivity and optimising market shares through optimising product-channel mix.

Operations: Improve service quality by reducing call drops and service reliability using simulation techniques and trend analysis.

Agritech

Farmers: Affecting factors such as climate variations and weather conditions, soil dilapidation/ fertility decline, and determining time series data for crops are areas of concern.

MQTT Broker: We develop Crop Yield Prediction Models by combining the observations using environmental sensors, soil sensors, and weather station data. Create a primary admin console to monitor & review model performance to channelise strategies based on real-time insights.

Solution Offered:
- Crop quality assessment tools to improve revenue
- Tracking & monitoring of produce to optimize monetization
- Yield Prediction

Capabilities

Data sourced from heterogenous data sources with inconsistent formats, and data redundancy are more of a liability than an asset. Neudatics, with its deep expertise in data engineering, helps organise the data reporting units (Data Warehouse/Data Lake, Data Marts) to streamline and structure the Analytics process. Further to harvest insights, we offer solutions across data visualisation, Dashboarding, Machine Learning, Deep Learning, AI, decision modelling, and data simulation.

Problem Discovery

The realm of AI is ever evolving which presents many challenges in understanding the art of the possible while limiting the enthusiasm of venturing into the world of innovation. At Neudatics we feel it is our responsibility to help our customers demystify the jargons and help arrive at meaningful solutions that deliver true value. We define the short medium term roadmap with a comprehensive solution architecture and where possible a MVP to help customers assess our solution.

Artificial Intelligence

With AI being the new age revolution of the transforming world, we intend to capitalize our expertise in this trending arena. Storytelling being our USP - we visualize data in an engaging narration stating its context and implications while deriving our predictive analysis /prediction statement through Machine Language/ Deep Learning and AI with an insightful perspective for our esteemed clients.

Data Engineering

We oversee all aspects of data engineering from collecting data, storing data, processing data and integrating data to conducting a quality check along with its scalability and performance analysis. Data Engineering is a crucial aspect for every organization to leverage their data in a productive, resourceful and innovative manner. Neudatics works to enterprise data to deliver strategies that encapsulate success solutions.

Utilizing advanced data analytics, machine learning and AI to drive business growth by leveraging valuable insights and optimizing operations for enhanced efficiency and profitability.

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