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.

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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!

We are your organization’s strategic partner, we provide actionable solutions with artificial intelligence, machine learning, in company of our multidisciplinary group with experience in implementation in advanced analysis projects in the mass consumption and the retail sector. Our vision is centered on the customer, we cross data from multiple sources to determine the probability of leakage, the Life Time Value of customers, as well as the Next Best Offer, the Cross Selling, and Up Selling models. We also have the support of large companies in the consumer packaged goods, retail, and telecommunications sectors, those companies have entrusted us with their most important asset: information, we have transformed this asset into actionable solutions and wise decisions.
Analytical
maturity level
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Analytical maturity level
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Business value
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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%.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

5 Home

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.

1 Home

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%.

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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:

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From autopsy reports of what has already happened
To Co-create growth opportunities under a strategic vision of the future.
From a data analysis in Excel
To having Business Analytics tools with continuous and predictive analysis of the business.
From efforts in generating information and insights that are duplicated or concentrated in silos within companies.
To knowledge and insights that travel through the divisions of the company.
Search for information about: Sell In, Sell Out, inventories, Electronic Data Interchange, activations, etc.
Measure the traceability of the business process and the continuous performance evaluation of sales teams.

This is how we achieve it at Infometrix:

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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

Follow up on different characteristics of your customers, identifying leakage patterns and generating strategies for their retention.

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. flecha-dashboard Home Ver Dashboard
  • Maintain users’ interest and satisfaction. flecha-dashboard Home Ver Dashboard
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Case studies

They believe in the power of data and thanks to Infometrix they achieved:

Infometrix Blog / Press

Meet our CEO

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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.