Beyond the NPS:
Sales Growth Prediction
As a metric, the Net Promoter Score (NPS) is highly positioned in the minds of managers
around the world.
MlOps: FindMatches and machine learning in data integration with
Glue
When we talk about MlOps, we mean a set of practices
for developing, putting into production, and maintaining machine learning models
with relative reliability.
Toxic optimism and machine learning from social data
In both Colombia and Mexico, there is
an increase in positive narratives in
"social...
We are a Scientific Ecosystem
In which DATA SCIENCE and SOCIAL AND ECONOMIC SCIENCES come together to:
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Market research based on data science to discover new trends and insights before others can detect them. |
Optimize and adapt We have designed 8 algorithms to help you reduce profitless investment in marketing and create productive systems for trade, customer experience, e-commerce and digital marketing.
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Predict the future |
Address the market |
Consumer psychology, behavioral economics, applied neuroscience, consumer anthropology.
Data analytics, Big Data, Artificial intelligence.
In Mexico since 2014
Investment in
R&D + i: 42%
of net revenue
NPS 92%
Certificated ISO 9001:2015 Certifications since 2020
Scientific papers published: 12
Big data and data analytics, from placement up to collection.
Demand forecasting, inventory optimization, supply analytics and analytical adaptation to e-commerce.
FMCG & CGP
Analytical integration of information from multiple sources, marketing mix model, price management, promotion, pack and inventory.
Positioning of care and protection products for crops, seeds and services to improve agricultural competitiveness thanks to research on farmer behavior.
Increase of ARPU, predictive control of attrition, Next Best Action to manage voluntary and involuntary churn.
Predictive models for collection, natural language processing in chatbots and WhatsApp and operations optimization.
Monitoring of the competition, development of social innovation, social offers and social return on investment.
Use of machine learning to improve the citizen experience when interacting with institutions via chat, social media, contact center, procedures, etc.
Artificial intelligence to improve competitiveness of e-commerce and digital sales.
Optimization of routes, urban development and space management thanks to georeferencing and spatial analytics.
Finding the best way to optimize the sales force, the medical visit, the continuous medical education and generating strategies to mobilize the demand in ethical and open markets.
