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.
The ability to identify and understand hidden patterns and correlations in large volumes of data and use them to make business decisions is becoming a strategic competition for companies for the future.
Machine learning and statistical analysis are some of the most popular techniques used today in artificial intelligence (AI) applications. Automatic learning is the AI technique for identifying hidden patterns and correlations in a large amount of data that humans cannot identify on their own, explains Brian Ka Chan, technology strategist and researcher at Smart City.
Charging tariffs consistent with the positioning of the brand and communicating its differentials with respect to the competition, is essential to stop competing for price and redirect the strategy according to the value of the product.
Ariel Baños, specialist in price management and founder of Fijaciondeprecios.com, explains three strategies to avoid competing only for the price factor, because in these struggles there are no winners and only attract the least loyal customers.
Knowing the exact location of customers and their characteristics, and in parallel analyzing the potential geographic location of each sales point, is essential for companies to take full advantage of their business strategies.
Geomarketing is a tool whose relevance has been increasing in the decision making of companies, because to define and implement strategic plans, it is necessary to have access to accurate information of the areas of influence of investments.
Convincing the sales team that the increase in the price of the product is necessary, and that they are able to convey the message to customers correctly, is essential when it comes to increasing prices when production costs rise.
Ariel Banos, specialist in price management and founder of Fijaciondeprecios.com, explains five strategies to increase product prices successfully, maintaining profitability and ensuring the viability of the company in the face of rising costs.
The business models operating under the concept of a subscription, such as Netflix, Amazon or even PriceSmart, can have great advantages over their competitors if they manage to properly manage the large volumes of data they handle.
The payment of subscriptions is not only for modern online services, as retail companies apply it in the region, as is the case of the supermarket chain PriceSmart.
In a context in which the creation of digital records is increasing, investment in data analysis, technology and personnel becomes fundamental and essential to ensure the best possible performance in companies.
Advanced Analytics (AA), which can be executed from data from digital platforms, wireless sensors and millions of mobile phones, is transforming competition across multiple sectors by generating opportunities to capture value from improved decision making and comprehensive business transformation.
Anticipating the effects of climate on crops and mitigating their impact is one of the benefits of using techniques to manage large volumes of information.
The agricultural industry is no stranger to the new reality focused on the analysis of large volumes of information and making business decisions based on data.
Just as in the industrial sector the analysis of large volumes of information can minimize costs and improve the performance of a production process, in agriculture the use of these tools allows, among other things, know exactly when a crop has reached its maximum level of hydration.
The new government agency will focus on investigating trade flows and identifying market opportunities for importers and exporters in the country.
The new office will focus primarily on the identification of export business opportunities, within the accesses to markets that have been achieved in the negotiation of different trade agreements signed by Panama, informed MICI.
If brands want to take advantage of the 6 hours a day that Central American consumers connect to their cell phones through the creation of apps, it is recommended that they have clear objectives that are agile and quickly updated.
The study "Engagement República 2020", carried out by the social networking company Ilifebelt, reveals interesting data on consumer behavior when they connect to the Internet.
Identifying the best areas to invest in, knowing what type of property is in demand in each area, whether you are looking for more rentals or sales, homes or offices, or in which segments of the population there is more demand for each type of property, is part of what can now be analyzed using modern Big Data techniques.
The real estate market is not alien to the new reality focused on analyzing large volumes of information and making business decisions based on data.
Through geolocation tools and techniques for analyzing large volumes of information, the fashion firm H&M studied what users in a specific city were looking for on the Internet, in order to design a collection tailored to their preferences.
Although some think that the tools and techniques of Big Data, Artificial Intelligence and Machine Learning are only for some industries, the bet recently made by the famous fashion house H&M refutes those who use that argument, confirming that there are multiple markets and industries that are increasingly taking advantage of the great value that these tools have in optimizing processes and generating more and better business.
Through the implementation of data mining and machine learning techniques, companies can improve their efficiency and optimize their production processes.
EDITORIAL
Analyzing large volumes of data to make decisions that result in better results for a company applies not only to the commercial and sales field, but also to other areas of the same or even more sensitive companies: the production process.
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