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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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As food production is expected to increase in the coming decades, farmers must be prepared to deliver their best. Smart farming practices play a crucial role in monitoring and analyzing cattle or crop conditions. Additionally, the smart farming industry needs to focus on optimizing workflows and increasing operational efficiencies to meet the growing demands.

Examples of smart farming capabilities include tracking cattle, managing herds, directing farm personnel, measuring soil conditions, detecting growth, registering rainfall, tracking equipment, planning tasks, monitoring refrigeration, connecting warehouses, and more.


Agriculture Analytics
Use Cases


Business Intelligence for Farming

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

Image by FLY:D

Security analytics

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

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