We accompany your business’ digital transformation
Get to know our knowledge transfer methodology.
We adapt to the needs of each client, using different methodologies and turning advanced analytics into flexible, understandable, and actionable solutions.
We adapt to the needs of each client, using different methodologies and turning advanced analytics into flexible, understandable, and actionable solutions.
We’ve got millions of data
in experience
We make things happen!
maturity level
Cognitive
Analysis based on cognitive computing for real-time decision-making.
Example: A small number of customers at the point of sale has been detected. To the identified VIP customers, a 25% discount on products can be offered in order to increase the contribution and profitability of sales of the day by 100%.
Prescriptive
Recommend decisive courses of action to make the desired actions happen.
Example: To avoid a 1% drop in sales at the end of the year, it is recommended to increase sales incentives by 3.5% and thus achieve a 5% increase in sales for this fiscal year.
Predictive
Predict which events will occur in the future with set conditions.
Example: Based on current trends, macroeconomic market variables predict that sales will increase by 3% and then decline by 1% by the end of the fiscal year with no changes in the brand's planned promotional activities.
Diagnostic
Understanding the causes of the events that occurred.
Example: A peak in sales of 50% above the August forecast, corresponds to the filling of the channel sales, thus, anticipating an increase in demand caused by the new product launch, counteracting the promotion of the competition.
Descriptive
Information analysis to describe what has happened.
Example: 80% of our customers who have examined our promotional inserts are over the age of 25, and their average expenditure per point-of-sale visit is $27,500.
Descriptive
Information analysis to describe what has happened.
Example: 80% of our customers who have examined our promotional inserts are over the age of 25, and their average expenditure per point-of-sale visit is $27,500.
Diagnostic
Understanding the causes of the events that occurred.
Example: A peak in sales of 50% above the August forecast, corresponds to the filling of the channel sales, thus, anticipating an increase in demand caused by the new product launch, counteracting the promotion of the competition.
Predictive
Predict which events will occur in the future with set conditions.
Example: Based on current trends, macroeconomic market variables predict that sales will increase by 3% and then decline by 1% by the end of the fiscal year with no changes in the brand's planned promotional activities.
Prescriptive
Recommend decisive courses of action to make the desired actions happen.
Example: To avoid a 1% drop in sales at the end of the year, it is recommended to increase sales incentives by 3.5% and thus achieve a 5% increase in sales for this fiscal year.
Cognitive
Analysis based on cognitive computing for real-time decision-making.
Example: A small number of customers at the point of sale has been detected. To the identified VIP customers, a 25% discount on products can be offered in order to increase the contribution and profitability of sales of the day by 100%.
As the analytical maturity curve progresses, companies are progressively adding value to their businesses,
being able to anticipate competition and / or consumer behavior.
Farewell to the usual
Hello Infometrix!
Our actions are aimed towards moving your company from
traditional to extraordinary and up-to-date actions:
This is how we achieve it at Infometrix:
Very soon you will be able to experience WILDUCK,
our Commercial Analytics Platform that will allow you to:
- Organize information from multiple sources, monitor the execution of your business strategy and measure the impact of the results of the modeling mix marketing.
- Develop strategic plans to maximize investments in marketing and sales.
- Deliver information in real time in order to optimize management and enable relevant decision making.
Seeing data so clearly and in one single place has never been easier
By analyzing various databases, you will be able to identify variables and opportunities in compliance with your sector, allowing you to generate retention opportunities.
Determine which activities are most effective in the Modern Channel to generate higher sales and profitability by making efficient use of resources, since the investment can be used for different activities and the response in sales and profitability is not the same in all formats, regions, and brands.
Through preventive customer retention you will get:
- Understand why people leave, as well as insights about customers and segments.
Ver Dashboard - Maintain users’ interest and satisfaction. Ver Dashboard
Case studies
They believe in the power of data and thanks to Infometrix they achieved:
Alpina
- Investment efficiency
- Micro-segmentation of stores
- Knowledge of the behavior of the Sell Out demand of the distributor
Autogermana
- Identification of customer characteristics.
- Strategies focused by brand.
- Award for the best dealership in Latin America from the BMW Group.
Corona
- Inventory and billing maximization.
- Creation of a differentiated value offer.
- Reduction of logistics cost.
Bodytech
- Direction of marketing strategies.
- Increased profitability.
- Churn Prediction Models.
Altipal
- Prediction of the relationship between the requested quantity vs the allocated quantity.
- Reduction of out-of-stock figures or possible returns.
Telebucaramanga
- Reduce customer churn.
- Promote marketing investments and loyalty plans.
Alpina
- Investment efficiency
- Microsegmentación de Aliados
- Knowledge of the behavior of the Sell Out demand of the distributor
Autogermana
- Identification of customer characteristics.
- Strategies focused by brand.
- Award for the best dealership in Latin America from the BMW Group.
Corona
- Inventory and billing maximization.
- Creation of a differentiated value offer.
- Reduction of logistics cost.
Bodytech
- Direction of marketing strategies.
- Increased profitability.
- Leak prediction models.
Altipal
- Prediction of the relationship between the requested quantity vs the allocated quantity.
- Reduction of out-of-stock figures or possible returns.
Telebucaramanga
- Reduce customer churn.
- Promote marketing investments and loyalty plans.
Infometrix Blog / Press
Meet our CEO
Pedro Pablo Morcillo
CEO / Founder
Serial entrepreneur with previous success, creator of high performance teams, Artificial Intelligence, Data Analytics, Mentor Espíritu entrepreneur of CESA, Co-Founder and CEO of INFOMETRIX. He is currently working on the implementation of an Analytics program for retail, on an analytical platform for TELCOS and on the development of a Data Analytics program for CPG’s. He has led business productivity programs and implementation of business information systems with corporate reach, with over 18 years of experience in management positions in top-level companies such as Homecenter Sodimac, Pernod Ricard Colombia, Café OMA, and Grupo Mokambo Venezuela. He has also been responsible for the creation and development of commercial and operational strategies with emphasis on Analytics and Category Management, in his years of experience he has formed and led teams of more than 160 people, he has also managed budgets and investments of more than US $ 50mm. He is a CESA (1996) Business Manager with a specialization program in Business Analytics at Wharton School Online (2020) and Citizen Data Scientist.