Sales and Operation (S&OP)

AI in Business Planning

It is well known that a key for optimization is automation: eliminating process steps that involve people’s dedication to repetitive tasks. This releases human energy to perform more strategic tasks and develop system improvements. Artificial Intelligence and data-based management are a differential element, translating into a competitive advantage.

Icono Sales and Operation (S&OP)


Every movement of people and cargo on a global scale generates an enormous amount of data. If any business area is able to take advantage of artificial intelligence, that is the supply chain. Innovations led by machine learning in these areas have made businesses more agile and dynamic, allowing Uber or Amazon, among many others, to offer an excellent customer experience. Better capacity planning, optimal routing, dynamic loading, accurate and fast resource and vehicle allocation to reduce customer waiting times are just a few examples.

Supply chain optimization affects all industries. Machine learning and artificial intelligence provide additional opportunities to fine-tune supply chain logistics using new data sources and new techniques. This leads to a radical improvement in operations, allowing professionals to spend more time applying critical thinking based on their knowledge of the business.



  • Demand forecasts considering multiple internal and external variables
  • Route optimizations
  • Stock planning
  • Delivery time prediction


New customer requirements such as time slot deliveries, customized package pick-ups or 24-hour or same-day shipments are complicating last mile transportation. There is less and less time to organize routes and more and more factors to consider. Machine Learning brings different advantages in this area. For example, it assists in the calculation of estimates of arrival times by improving the traceability of packages. It can also process a greater number of third-party data flows in order to find the fastest route in real time or prevent delays and interruptions.

AI-based Demand Forecasting applications are seamlessly incorporated into the workflow of operational and commercial departments. The utilization of Machine Learning algorithms provides a degree of flexibility, customization and accuracy that surpasses traditional ERP tools.


With the Agile methodology as an internal standard, we always adapt to the requirements and availability of the Client.

Since the services offered are customized, we consider frequent and close communication and contact as essential conditions to maximize the efficiency and continuity of the projects. That is why the feedback and progress presentation meetings have an average frequency of one week.


How can I incorporate AI into my processes?

Answer All of our collaborations are based on support from the conceptualization phase to the production of the solutions. The first step is to contact us and, without any commitment, find the optimal way to apply the tools that best suit your business.

Do I need a Data Scientists team and a special data architecture?

Answer Not necessary, since we have a complete team of experts and the necessary computer resources for the development of practically any type of solution based on data and Machine Learning. Flexibility in the nature of the data source is complete (unstructured data, SQL databases, Excel data, …)

How can I measure the value you bring to my business?

Answer The calculation of profitability can be obtained in a quantitative way as in traditional projects. In addition, the support of success stories and the strong investment made by companies all around the world is a true reflection of the reality about these projects and how the risk associated with them is, year by year, decreasing.

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Data is the answer

We apply Data Science in business to address current needs and predict future outcomes.

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