Solution to have an advanced city observatory that analyzes more than 1000 indicators to perform benchmarking and propose different scenarios. The aim is to automatically capture the necessary data to create an indicator and semantically process it.

It automatically gathers relevant information from the sector and highlights trends, leaders, values, and reputation. Through a virtual assistant, It can ask questions like: 'In which areas do I have more reputation issues coinciding with the activity of my competitor?

Global Market Monitoring for the Lighting and Energy Efficiency sector to provide context to members of Business Associations. Economic activity data from different countries are collected, as well as import and export data for various tariff items. This allows obtaining a context of the different markets.

An artificial intelligence-based information system designed to extract relevant information from communications on digital media and social networks. It's a solution to identify what is being discussed, who is doing it, and to allow analysis of how this can help in our strategy.

We gather daily job offers published on various specialized portals and analyze those that are of interest. We are able to have a real-time view of how the market is moving according to the KPIs that interest us.

Automatically retrieve prices and products from different websites where competitors are listed. Allows associating these products with equivalents in our own catalog. Have an evaluation and visualization system that allows knowing the status of product competition at a given moment and establish pricing strategies dynamically.

Predictive forecasting of future breakdowns for the various components of the public lighting system. Future atmospheric context of the installations and predictions of public space usage where they are located are taken into account.

Additionally to observing the main variables of a territory, the solution allows you to predict the evolution of different variables, as well as forecast the effect that a variation in one specific variable will produce on another variable.

Modeling our customers based on enriched historical data to make predictions of behavior according to each circumstance. From estimating how much revenue we'll generate from the customer in the next campaign to determining churn.

Based on contextual predictions (weather, hours of sunlight, fog, activities in public spaces, energy prices), it recommends the appropriate volume of lighting for a specific public space in the city through scenarios.

Based on modeling of my products or services and my clients, I am able to recommend the best matching between them. Additionally, the matching will depend on the strategies at each moment.

Based on clustering of different clients, it recommends the suitable clusters to contact according to the type of campaign to be carried out

From a document, the most relevant information of interest to the business is extracted, facilitating the interpretation and understanding of the information.

Using multiple sources of structured and unstructured data and following an orchestrated set of questions, a report is filled out and sent via Connect@Hub or to the respective recipients.

Dynamic dashboards are generated on demand based on a prompt, as well as periodic or on-demand reports on the evolution of the Ticketing service.

Virtual Assistant to streamline the query of information from an extensive database of company procedure documents.

Virtual Assistant to assist users in creating and resolving tickets. Additionally, it aids technicians in managing and resolving tickets. Tickets are classified and assigned according to categories (technical support, sales, logistics, etc.).

Virtual Assistant to streamline the query of information from an extensive and dynamic database of technical documents including references to regulations and standards.