Agriculture Analytics

Drive smart agriculture.

Monitor, analyze and predict the cattle or crop conditions while optimizing the workflows and increase operational efficiencies through agricultural IOT and AI/ML.

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With increasing food production in the following decades, farmers need to be prepared to deliver their best. Smart farming needs to monitor and analyze the cattle or crop conditions. Also, the smart farming industry need to optimize the workflows and increase operational efficiencies.

Examples for smart farming capabilities includes tracking cattle, managing herds, directing farm personnel, measuring soil conditions, detecting growth, registering rainfall, tracking equipment, planning tasks, monitoring refrigeration, connecting warehouses, etc.


Agriculture Analytics
Use Cases


Business Intelligence for Farming

Realtime monitoring of farming operation, anomaly detection, performance dashboards, report generation, business dashboards


Customer Insights

Customer Insights. Know exactly what your customers want, when they want it. And make sure they get it.


Branches and location performance Insights


Customer Value Management




Customer Touchpoints analytics


Smart IOT Farming

Soil moisture

Tank filling

Valve positioning


Water quality


Asset tracking ​

Machine monitoring

Cattle tracking

Weather station

Air quality

Motion detection

Fence open/close


Customer Intelligence & Next Best Offer

Determine customer loyalty state, next best action, customer lifetime value using AI.

Churn Prediction

Next Best Offer

Automation of Real-time Customer Experience, contextual, digital engagement and customer value.


Geospatial Analysis for Farming

Public Data and Internal Data combination. Hyper-target your campaigns at a deeper granularity


Geomarketing campaigns for B2C solar panel installations, as well as creating solar calculators to measure propensity and profitability.


Geo-Marketing for Agricultural Produce

Public Data and Internal Data combination. Hyper-target your campaigns at a deeper granularity


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Advanced Data Analytics

Cloud, On-Prem or Hybrid - helping our agricultural customers in digital operation, digital customer experience, digital business and digital security and fraud. 

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AI & Machine Learning

Unlock new possibilities and amplify our impact for society and agricultural businesses with AI/ML

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Geospatial Data Science

Analysing spatial data combined with analytics and AI/ML for positive agricultural business impact.

Image by Shahadat Rahman

Internet of Things (IOT)

With our expertise in data analytics and AI/ML, we will also enable agricultural enterprises to create sustainable IOT initiatives - edge, cloud and hybrid.

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Security analytics

Helping our agricultural customers in automating SOC, using many supporting tools like data analytics, SIEM, Threat Intelligence, SOAR and Endpoint security.