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Agriculture
Human-driven data in agriculture can also involve the use of predictive analytics and machine learning algorithms to analyze large datasets and predict future outcomes. This can help farmers make more informed decisions about crop management and resource allocation. By combining human expertise with data-driven insights, farmers can make more informed decisions and improve their overall efficiency and profitability.
Our Agriculture based solution is directed to capture important data points in the agriculture value chain on on-going basis and deliver real time analytics and intelligence around these data points. Our solution agri-based solutions intend to serve various stakeholders such as seed companies, fertilizer companies, agri-retailers, farmers, credit institutions, crop consultants, aggregators, processors, distributors, logistic players, warehousing and refrigeration players.
Seed Demand Analytics
Our primary objective is get seed companies the demand side data as per geolocation that is currently reaching to them as lagging indicator or as post sale cycle data. So they can channel their marketing and distribution strategy in accordance to the forecast. Our accuracy tools allow us to understand data points in best way and remove potential biasedness from the data to attain best accuracy of forecast.
Fertilizer Demand Analytics
Parallel to demand forecast for seed, our agriculture experts plots the regional demand of fertilizers and pesticides in the respective geo-location or region. This forecast can help in logistics , inventory and production planning for the fertilizer companies.
Farmer Crop Forecast Analytics
A detailed forecast can help specifically farmers from a lot many perspectives whether it is expected pricing , credit requirements, choosing the right crop insurance schemes, or expected warehousing space and logistics requirement. The long term forecast can also help them to undergo long term supply agreements.
Credit Institution Analytics
Our predictive models can provide a leading forecast indicator that can provide a wider range of data on the pricing of the produce and thus the credit quality of the loans, also regional data and also guide them to rely on the forecasted data to strategies their regional penetration.
Crop Consultancy
Our predictive forecast model can provide a reference benchmark for crop consultant to expect which crop will grown in which region, their expected volume, farming techniques that should be employed, consult farmers on climatic factors and soil conditions. Crop consultant can leverage the collective data for agriculture based research with agricultural universities.
Logistics and Warehousing Demand Analytics
Logistics and warehousing are two important cost contributors and if planned ahead of time then it can provide a huge savings for all the stakeholders in the agriculture value chain. The commercial value of data analytics is enormous at it provide the cost effective head start to the planning.
Our agriculture solutions can generate most accurate results through data capturing, data transformation and its analysis. In addition to agri value chain stakeholder it can serve researchers, market analyst, institutional and governmental entities for decision making from otherwise delayed or not available information.
We have capabilities to develop our own AI based prediction models based on data and variables obtained at various levels in the value chain.
For AI based predictive models Please feel free to connect with us on