Machine Learning / Deep Learning

Machine Learning and Deep Learning allow us to develop predictions, classifications or detect characteristics that will help us to drive business decisions based on knowledge supported by data.

Price / Product Optimisation

It allows not only to set prices practically in real time, but also to set possible discounts and define the company’s portfolio.
  • We analyse competitors’ prices in order to position your company in the best Quality / Acceptance / Price ratio according to supply and demand.
  • We predict the possible acceptance of customers, even personalised, to the prices proposed by the company, defining the optimum price.

Predictive and Prescriptive Maintenance

It allows a reduction in maintenance costs and unwanted stoppages and an increase in the efficiency of operations and production.
  • We predict failure patterns or anomalies before they occur.
  • We prescribe the decisions to be made, based not only on the condition of the equipment but also on economic conditions, production, etc.

Predictive/Risk Analytics

Allows for improved efficiency and better decision making.
  • We obtain conclusions on how a certain person or activity will develop or how much their behaviour will change in the future.
  • We apply it to people and their behaviour, machines, markets, new products or new businesses, demand for products or services, possible risks and fraud, diseases or pandemics, … in such a way that it allows us to adapt, prevent and programme the future.

Anomaly Detection

Allows early decisions to be taken in the event of possible incidents.
  • We detect abnormal behaviour or irregular patterns in any context.
  • We proactively and preventively detect risk situations, allowing early detection and solution to the problem.

Resource allocation

It allows us to make the best decisions, almost in real time, to allocate resources in hospitals, industries, hotels, services, energy, … and which is the best option to make the necessary adjustments.
  • We obtain conclusions about how a certain person or activity is going to evolve or how much their behaviour is going to change in the future.
  • We apply it to people and their behaviour, to machines, to markets, to new products or new businesses, to the demand for products or services, to possible risks and fraud, to diseases or pandemics, … so that we can adapt, prevent and programme the future.

Personalisation

Enables companies to improve their sales by accessing their customers in a more personalised and cost-effective way.
  • We personalise the offer to customers and consumers in real time according to their emotional state, their physical situation and their needs.
  • We analyse users’ consumption behaviour.

Process/Supply Chain Optimisation

Improve quality, increase production and sales, and reduce costs.
  • We optimise the processes of the company’s value chain to be more efficient and effective, purchasing, logistics/supply chain, production/services, sales, marketing, finance, HR, …
  • We integrate the value chain, through Artificial Intelligence, to manage and make global decisions, not partial ones. We combine machines with people so that the latter can contribute greater value to operations, leaving tedious and repetitive work in the hands of the former.