Damian is the Design Lead at Ocula. He’s responsible for designing all aspects of Ocula’s products and is the voice of the user during the decision making process. In this feature, he challenges common assumptions about the true meaning of “design” in the product development process and shares some of his key experiences.

Can retailers use AI to get ahead of their competition? Isabel Scavetta is a Product Manager in our London office, whose main focus at Ocula is bridging the gap between the capabilities of our advanced analytics and the everyday business needs of our clients. In this feature, she reflects on her experiences building AI products and the importance of translating advanced analytics into actionable insights for business leaders.

It’s coming up to the busiest time of the year for eCommerce leaders. How do you win against the rest?

Ivan is a Product Lead for customer experience optimisation at Ocula, where here designs customer experience optimization products to give customers the best experience that makes them stay, and come back time and time again.

In this feature, Ivan talks us through his top 5 areas for retailers to keep in mind as we head into the peak retail season.

What can we learn from applying the advanced analytics methods used in Formula 1 to the world of eCommerce optimisation?

Alex Santos is a previous F1 engineer turned Ocula Data Scientist, who is inspired by the use of data to increase our confidence on the decisions we have to make every day: reducing stress and increasing our output.

In this feature, we explore about his transferable learnings from the motorsport world to Ocula’s eCommerce optimisation offering.

Prescriptive analytics offers specific actionable steps to solve the issues brought up by predictive analytics. Prescriptive analytics applies machine learning algorithms to suggest ways to take advantage of future opportunities or mitigate future risks; it optimises the process for a better future outcome.

The driving force of any business is the people behind it. But people, as we know, are prone to making mistakes. Even small inaccuracies like making a wrong order can be detrimental to a business, and small mistakes often result in huge consequences and economic loss.

Business managers have increasingly turned to smart technology in aiding company functions. Artificial Intelligence has long been a buzzword in many business sectors, however only recently started proving to bring real, tangible business benefits.

AI is everywhere - from image recognition tools to online recommendations, AI automates repetitive and monotonous tasks to augment our lives. But not always does this technology act in our favour.

Research shows that 60% of manufacturing companies are using AI technologies. Manufacturers often face various operational challenges such as unexpected machinery failure or defective product delivery.

AI applications can help companies reduce its environmental impact and get back on track in reaching the agreed objectives. Governments have signed the Paris Agreement to reduce carbon emissions by 2050, however the rate of growth is making this difficult.

The digital revolution of the retail sector has provided an unparalleled opportunity to change the way people shop for products. Artificial intelligence and machine learning provide solutions designed to personalise the shopping experience to each individual customer.