Analytical management is amongst the most popular solutions from Hispatec Analytics
The company has only been up and running for around a year, but in recent months Hispatec Analytics has grown both in client volume and in talent. Its team is made up of expert ‘data farmers’ (agronomists and data engineers), who form a numerous multicultural group of specialists of six different nationalities, bringing their own particular view of the sector. In total, almost 20 high qualified people, including several PhDs.
Amongst clients’ most popular solutions there are two parts within the discipline of Artificial Intelligence. The first one is harvest prediction or field analysis (it provides valuable information such as which dates are best for harvesting, estimated qualities…). It is being applied to different crops ranging from avocados, olives, asparagus, table grapes, tomatoes and berries. In the last case, the creation of Harvest Prediction Models for strawberries, blueberries, blackberries and raspberries should be mentioned, which have already been implemented on the Costa de Huelva.
The second line, which is where the demand is greatest, is preparation/operations analysis. A segment that generates a great deal of interest on the national and international market; in fact, already over 50% of its work is outside Spain. Gonzalo Martín, manager of Hispatec Analytics, explains that “we help intelligent decisions to be made related to the management of the orders received by the companies from the point of view of management, preparation or packaging, negotiation of the sale prices… Through the data that we compile, it is possible to estimate the orders that the market is going to request.” Key information that offers a very high degree of improvement for clients because it means direct savings and a competitive advantage over other companies.
In order to understand it better, here is a practical example: a preparation plant normally works with closed orders, but often the preparation process has to be performed again due to delays or new orders, which involves costs. Changes that can be foreseen with short term artificial intelligence analysis, drawing up probability scenarios in such a way that the preparations that are carried out without the order being closed are as reliable as possible. To do this, the market, its timings, etc. all need to be known very well… Hispatec Analytics does this by using high frequency modelling or algorithms. “It is the most operational part and the sector is responding very well.”
Amongst the Hispatec Group’s milestones is its partnership with Agrifood Cooperatives to promote the digital transformation of farming. An agreement with which both parties want to consolidate the “data cooperatives” concept as a germ of the collaboration between several different agents in the sector to generate plentiful, quality information.
