Discovery and Data Collection
Gathering relevant historical data.
Data Cleaning and Preparation
Cleaning and transforming data to ensure quality and consistency.
Artificial Intelligence
Business intelligence
We collect results and project them into the future.
Knowledge stays in the company and business start building results from data, by data and creating new data.
It’s as simple as a pick and choose.
Your company shifts from looking to past decisions and current result, into multidimensional scenarios with future actionable decision and measured results.
Inflation, wages, activity level, imports & exports, gas, power, etc.
Increase the accuracy and capability to build scenarios with divergence and correlation from external factors.
Global & seasonal production, Stocks, Consumer consumption trends, agricultural inputs actual and future prices, etc.
Capture trends by mapping them, and adding the data dimensions for a better and deeper understatement of potential markets shifts.
Yield, temperature, humidity, rains, radiation, micronutrients & macronutrients etc.
Add new layers off data, present and past to be able to create better and more accurate predictions for the market in which you compete, and in each ambient that you produce.
Find the correlation for each datapoint, and then use it to find the opportunity inside the cluster.
Build the capability to create and advantage by using all the data as one, present and past. And break it into clusters to find opportunities & trends.
Economy trends, potencial market size, product future demand, pricing scenarios, etc.
Customize and deliver your AI capabilities at the level of your strategic partners, make them growth and be able to manage the profit.
We combine our datasets and your, then fill the gaps.
And start the journey.
Discovery and Data Collection
Gathering relevant historical data.
Data Cleaning and Preparation
Cleaning and transforming data to ensure quality and consistency.
External Datasets
Gathering external data to add multidimensional sources to maximice accuracy and efficiencies.
Model Selection & training
Choosing the appropriate model type based on the problem and data characteristics. Fitting the model to the training data to learn patterns and relationships.
Feature Engineering
Creating new features or transforming existing ones to improve model performance.
Deployment
Integrating the model into business applications for real-time predictions.
Team Training
Practical workshops and tailored training sessions to address specific team needs and skill levels.
Optimization
Improving the model’s accuracy by using all data sources in past scenarios projections until we achieve the desired target.
Evolution
AI evolves every day, new tools, new capabilities, new costs, news opportunities. Our evolution approach to AI leverage the actual capabilities by adopting new technology, new tools and new solutions to keep you on the innovation lead.
AGROFERTIL
25 years
in Technology Companies
30 years
in Fertilab
Member:
BUSINESS
30 years
in Technology
international companies
System B Consultant
Member:
AI & DATA LEAD
13 years
in Bits0
10 years
in Syngenta
Member:
+40 years
+15 branches
+1.5MM
processed soil samples
+10.000
clients
17
countries
+300
retails
+294.000
sku