We have designed the first agri-food artificial intelligence platform capable of managing different future scenarios, describing how they will impact your corporate strategy and showing you the best decision for each business objective.
Margaret has a processing engine that analyses authentic agri-food Big Data using algorithms and AI models to develop apps adapted to the needs of each producer, aggregator or complementary industry.
REQUEST A DEMOMargaret provides decision intelligence to people and automated systems in every agri-business process.
Data and algorithms
Margaret structures and relates the available data sources. It relates the company’s operations history with sensors, weather prediction, legal sources or market studies.
Margaret’s algorithms will use that data to answer the key questions for your agri-food organization.
Data-driven decisions
Margaret describes what really happens in your agri-food company, what the variables that influence your objectives are and what the future scenarios are. In this way, the organization’s decision-making is based on objective data in a way that is both convenient and useful for the management team.
For people and machines
Check your applications for the result generated in real time by Margaret or integrate it directly into your company’s connected devices to automate the operation under your supervision.
Margaret integrates with your company’s management tools (ERP, CRM, etc.).
Prescriptive intelligence. Margaret proposes fertigation recommendations based on the specific conditions of each plot: cultivation, weather predictions, sensors, satellite images. The recommendation can be viewed in an application and run directly with connected heads.
Predictive intelligence. Our customers receive crop forecasts from Margaret in the short, medium or long term to speed up their decision-making on objective data.
Companies and knowledge centers make their algorithms available in Margaret for other organizations. Margaret incorporates external data sources to run the algorithms.
Diagnostic intelligence. Margaret lets you know the real impact of each action, treatment or task performed on your crop. You'll be able to make data-driven decisions and optimize production.
Margaret generates the reports and presentations each organization needs to be more competitive and sustainable in all agri-business processes.
We have an integral ecosystem of solutions for you to centralize all your business data.
All Margaret's intelligence from the best agricultural ERP
Margaret generates maximum value for your company with the data from its operations and any external information source and integrates advanced intelligence reports in ERPagro itself.
More about ERPagroOne single platform for all logistics processes
It ensures the quality of your product at destination, reduces complaints and processes all documentation in a transparent way.
More about Hispatec TrackPredicting production and harvest volume based on historical data and in real time of the crops of the Cooperativa Costa de Huelva SCA was the objective of this Advanced Analytics project that we carried out.
The challenge that Mabe posed to us was to develop a system that would facilitate access to its facilities in the fastest and most reliable way possible. We opted for a facial recognition development assisted by Artificial Intelligence.
From Hispatec we have improved one of the tools that we consider key in agricultural management: Warehouse Production Cost Control.
Trops, with more than 3,000 farming partners and the Spanish leader in the marketing of Mango and Avocado, is one of the best examples of Agribusiness 4.0.
It is not an exaggeration.
It is rigorously true: Carlos Flores, central IT manager of Camposol, the main Peruvian exporter; told the attendees at DATAGRI 2020.
We are available at any time. Contact us now.
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