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Watch out for these 3 common SEO pitfalls when optimising product content for Ecommerce – and find out how our AI Copywriter Tool can help you avoid them.

Damian is the Design Lead at 51���ϱ�����. He’s responsible for designing all aspects of 51���ϱ�����’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.

We love sharing our expertise in advanced data science and fostering upcoming talent. Our internship program is a key part of 51���ϱ�����; here, we hear from one of our winter 2022 Data Science interns Nathan Wooster to hear about his experience with us and his journey into data science.

Can retailers use AI to get ahead of their competition? Isabel Scavetta is a Product Manager in our London office, whose main focus at 51���ϱ����� 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.

We’re always looking for new ways to challenge our ways of thinking, and to share our expertise in advanced data science and engineering. A huge part of this discovery and learning journey is our internship program. Here, we hear from one of our summer 2022 Data Science interns Thea Barnes to hear about her experience with us, and her advice for students looking to break into careers in data science.

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 51���ϱ�����, 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 51���ϱ����� 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 51���ϱ�����’s eCommerce optimisation offering.

As a team, we’re incredibly people-focused. We love developing and building our talent, whilst giving members opportunities to stretch and challenge themselves in new areas. In this feature, we spend some time with one of our summer 2022 Data Science interns Nadira Mason to hear about her experience with us, and her advice for students looking to break into careers in data science.

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.

AI is one of the most powerful technologies developed to date. Not only does it transform how businesses operate, but also enhances the services and products offered to customers to increase their relevancy and resulting customer retention.

Our study of 187 participants found that information about the sustainability of a product, in the form of a sustainability score, can have a significant impact on consumers’ buying behaviour. This research project sought to examine the potential effectiveness of providing consumers with a product-level sustainability score during their buying journey.

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.

Recommender systems continue to evolve as new methods and algorithms are discovered, and more data is available, both in terms of volume and variety. In this paper we present an overview of the history of recommender systems, starting from precursors of recommendation engines, all the way to modern deep learning systems.

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.