The buzz around AI and its myriad applications seems ceaseless. Among the diverse array of possibilities, Computer Vision stands out as a potentially disruptive force in the realm of retail,…
According to the 2023 annual survey by Waitwhile, waiting in lines remains a significant aspect of the retail experience. Ninety percent of consumers report encountering queues multiple times a month,…
To remain competitive in a world where efficiency and adaptability are increasing, it actually is a strategic objective for many companies. In this context, Artificial Intelligence (AI) has become the…
The traveling salesman's problem In previous blogs we have already introduced this problem and some of the typical ways to solve it. This time we are going to introduce new resolution methods…
The pharmaceutical industry continually faces challenges to discover and develop new medicines and treatments that improve people's health and well-being. Research and development (R&D) plays a crucial role in the…
The pharmaceutical industry is a highly specialized and demanding sector that faces unique challenges in its logistics and distribution operations. The task of bringing medications and treatments to patients safely,…
Pharmaceutical industry is a fundamental pillar in modern society, as it plays a vital role in caring for people's health and well-being. However, this industry brings to the table challenges…
Digitalization is a key factor and a prerequisite for the use of artificial intelligence in the pharmaceutical industry. Digitization allows the collection and analysis of large amounts of data, being…
The pharmaceutical industry has always been a pioneer in the adoption of new technologies, and artificial intelligence (AI) is no exception. In recent years, AI has revolutionized the production of…
One of the most significant sales moments of the year is coming up. Everyone is preparing for this moment by loading warehouses, reinforcing teams in physical shops, reviewing e-commerce, data management, pricing, and picking or lead time to meet the expected demand. But are we doing it correctly?