Analyzing satellite photos to estimate the production capacity of an area or evaluating images of a product being sold on the streets to calculate its market-share are some of the business solutions that arise from the transformation of images into data.
Traditionally, when teachers or businessmen wanted data, they requested surveys. Data would be ordered, in the form of numbers or boxes checked on questionnaires.
The use of predictive models based on artificial intelligence processes and automated collections are some of the changes that companies are already applying in this new reality to reduce operating, management and risk costs.
The spread of covid-19 changed the rules in almost all markets and business models, a situation that has affected the collections departments of companies, whose work teams are currently facing complex challenges.
The use of unique codes that can be scanned with a mobile device, so that consumers know all the product information and companies interact with their customers, are part of the innovations that some packages already have.
Currently, consumer interest in products that are manufactured with environmental and social responsibility has grown.
"If we overcome the mental barrier of commoditization, identifying and communicating those added values going beyond our basic proposal, we will have the opportunity to take our profitability to another level."
Ariel Banos, founder of Fijaciondeprecios.com explains that when a proposal is a commodity, in other words, it lacks differentiation with respect to others offered in the market, the only alternative is to align itself with the prices charged by competitors. There are no magic solutions.
Does it make sense to keep doing surveys to evaluate, for example, the ranking of a brand, when all the real, honest, and unbiased information can be inferred from people's behavior on the Internet?
"... Traditionally, when teachers or business people needed data, they commissioned surveys. They obtained data in an orderly fashion, either in figures or in boxes marked on questionnaires.
Based on records derived from the digital behavior of consumers, it is estimated that in the countries of the region more than 450 thousand people show interest in paints, and most of them are between 19 and 35 years old.
A study of the interests and preferences of consumers in Central America, prepared by the Trade Intelligence Unit of CentralAmericaData, gives interesting results on the preferences and tastes of people in various products, services and activities.
Discounts and offers, increase in the price level generally and the rise in operating costs due to new health and safety protocols are the main threats to the profitability of companies in this new commercial reality.
Given this context of economic and health crisis, which derives from the outbreak of covid-19 at the global level, Ariel Baños, a specialist in price management and founder of Fijaciondeprecios.com, explains what are the main threats that could affect the profitability levels of companies, and details some strategies that could be applied to mitigate the adverse effects.
Measuring sales performance, observing trends and anticipating the impact that the crisis will have on the market in which each company operates has never been more important, and in this context, accurate data management and analysis becomes essential.
"... Twelve years ago, in the midst of the economic downturn in 2008, British Airways (BA) was cutting costs across the organization.
Yoga practice, interest in buying cloud storage space and a taste for Greek cuisine are some of the characteristics of the high-powered consumer in Guatemala.
A study of consumer interests and preferences in Guatemala, carried out by the Trade Intelligence Unit of CentralAmericaData, provides interesting results on the preferences and tastes of people who express interest in different types of products or activities.
Having general ideas of how a computer can look at an image and identify a stop sign, a pedestrian or a car, is fundamental for business leaders to be able to empower humans with the help of artificial intelligence.
The development of artificial intelligence tools suggests that human work will be abolished, something that could be far away, since these technological applications are for now used for the execution of specific business tasks and not for problem solving.
Applying artificial intelligence tools and complementing it with increasing the technological capabilities of employees is essential to significantly improve the performance of companies.
According to reports by Harvard Business Review, companies have been found to achieve the most significant performance improvements when humans and machines work together.
To effectively apply data analysis tools on a large scale, the proper structuring of the information is essential, otherwise the cost that the company will have to incur to reverse the errors will be very high.
Data governance, which encompasses the set of processes, functions, policies, standards and measurements that ensure the effective and efficient use of information, becomes relevant to enterprises, which increasingly benefit from the use of machine learning tools and statistical analysis.
Generating comprehensive information on consumer tastes and preferences using artificial intelligence systems is the main challenge faced by companies, which must increasingly make faster and better decisions.
No company or industry seeking to continue operating in these new times can avoid these challenges. An example of this is the entertainment sector, a market that with the arrival of new platforms such as Netflix, Amazon Prime and Spotify, has become increasingly competitive. Companies like Warner Bros. have reported that they are beginning to use advanced technological systems to decide which films to produce.
For companies, it is increasingly essential to support their strategies with artificial intelligence (AI) and "machine learning" tools, since these systems have the ability to suggest the best combinations of offers to ensure sales success.
For sales software used by companies, artificial intelligence (AI) and machine learning have become essential, because only in this way is it possible to successfully analyze the large volumes of information generated from information systems that record customer data.
Technology and tools for analyzing large volumes of information used by large corporations to make business decisions are also available to businessmen and small companies.
Finding the best location for a new sales point, finding the areas where potential customers move and analyzing their purchasing power and their behavior as consumers are just some of the things that can be done today with the help of new technologies.
Recognized Brazilian company of backhoe loaders, telescopic, articulated and other types of cranes looking for companies interested in representing the brand and distributing their machinery in Central America and Mexico. The company manufactures and sells telescopic,...
O4Bi is a system that allows to control and manage what a company needs: the complete process of development of works, accounts receivable, treasury, banks, sales and accounting.
O4Bi is a very robust system that allows to control and...
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