Artificial Intelligence applied to business intelligence: utilities and benefits

AI 09/07/2024
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Artificial Intelligence (AI) is here to stay. This is undoubtedly. However, companies from all sectors and markets are now competing in a tight race to be the first to find applications that truly add value and are useful to their customers.

Professionals from the heterogeneous world of e-commerce, who fight their battle almost exclusively in the digital field, are probably among the most in need in this sense, and those who most hope to find in this new technology an important ally that will allow them to differentiate themselves from their peers. competitors. We are talking about brands, manufacturers, retailers, and/or marketplaces, among others, accustomed to interacting and working with tools that process enormous amounts of data. Business intelligence, immersed in a constant search for formulas with which to optimize processes and maintain a permanent competitive advantage, has not stopped reinventing itself over recent years. Now, with the help of AI, everything seems to indicate that it is destined to experience a new and great revolution.

And, in such a dynamic and changing environment, the ability to make informed decisions is a priority objective for any current company. A board in which AI has already come into play and is moving at a dizzying pace, radically transforming the way we interact with data to extract only the most relevant and significant information from it.

DIP Insights becomes stronger and friendlier thanks to Artificial Intelligence

Our DIP Insights tool, Data Seekers ' 360º digital intelligence platform, designed to offer a complete overview of the market thanks to the extraction, monitoring and organization of data in real time, has evolved significantly with the implementation of new AI functionalities.

The use of AI gives its users greater freedom and autonomy, reducing dependence on developers as much as possible, while offering viewing options that are even more tailored to their interests and preferences. In short, it is a new way of relating to data, through which the interpretation of information becomes increasingly simpler, intuitive, efficient and agile, and in which the precision of the results obtained is not subject to technical knowledge.

The key is to have been able to ensure that the users of our platform, to which we have previously trained and given context, can use natural language to obtain different indicators, generate new graphs and tables and/or build custom dashboards. A system that also learns from the feedback it receives from the users themselves, with the aim of gradually offering a hyper-personalized experience.

Main applications of AI in DIP Insights

  • Queries in natural language: Users can launch requests in natural language, which are subsequently processed by the AI that translates them into queries in the database.

  • Adaptation of the results to the type of data: The results of the queries are processed by the AI and displayed to the user in the format that best fits the type of data (if the data best fits a line graph, it will display it as line graph, doing the same for bars, foot, table, etc.)

  • Learning based on feedback: Your ability to adapt and learn is what really makes the difference. For example, the graph generator has a feedback system for the user to submit their feedback. Based on the positive or negative ratings it obtains, the AI can decide to adjust the graphs, improving in terms of accuracy and relevance, and learning, along the way, to better process and interpret the natural language used by our clients.

  • Custom Dashboard: It is possible to create a customizable dashboard in which users can put the graphs and indicators they want and give them size and shape, all with natural language.

Main advantages associated with AI in DIP Insights

  • Autonomy and independence: Users do not depend so much on technicians to add new display formats to their dashboards, they simply ask the AI for the desired indicator and it adds it.

  • Lack of technical knowledge: Users do not have to have technical knowledge about how to launch queries in databases, or their current schema.

  • Hyper-personalization: Users decide what new indicators they need, what they should look like, where to place them, etc., thus building an interface tailored to their interests and needs.

  • Machine learning: Users will train the AI with their queries and it will progressively learn to better understand the requests and respond to them with greater precision.

Improve the performance and productivity of your e-commerce by relying on DIP Insights and AI

Artificial Intelligence joins DIP Insights to enhance many of the benefits that it had already been offering to its users to boost efficiency and competitiveness within the digital market. We remind you that DIP Insights can help you identify business opportunities and correct weaknesses:

  • Control of stock and demand to avoid product shortages.

  • Improvement of inventory and catalog management.

  • Identification of sales opportunities and analysis of products available from other sellers, to improve your competitiveness.

  • Control of all authorized sellers and identification of unauthorized sellers and counterfeit products on the different online sales platforms.

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