Publicis Commerce, the commercial division of Publicis Groupe, yesterday presented its innovative artificial intelligence (AI) tool ALAN, marking a milestone in the eRetail and retail media landscape under the motto “The renaissance of e-retail. Alan, Publicis Commerce’s machine learning system, was developed using multiple AI models such as Open AI, Stable Diffusion, Bard, and Midjourney. Combining advanced visualization and analytics technologies such as PowerBI with the ability to collect, integrate and analyze large amounts of information from multiple sources, ALAN is a powerful tool at the service of Publicis Groupe’s clients’ eRetail strategy.
ALAN is the abbreviation for Autonomous Learning AI Network, plus the name matches Alan Turing, one of the most respected fathers of modern computer science and artificial intelligence. Capable of reading, understanding, storing, sorting and interpreting large amounts of information, this tool allows brands and the Publicis Commerce team to be more flexible and reduce their decision and implementation times. ALAN, working with the talent at Publicis Commerce, increases efficiency and short-term results for every brand on the leading e-commerce platform Amazon and expects to expand to numerous other sites in the near future.
“AI represents a competitive advantage we have never had before and represents a new “Day 1,” as Jeff Bezos has been fond of suggesting in his letter to shareholders since 1997. Today in Spain we are on the new day 1 of the ecosystem both for Amazon and for all e-commerce” Comment on the launch José Luis Ferrero, Managing Director of Publicis Commerce in Spain and Portugal.
A new era of possibilities in eRetail
The company combines human talent with the most advanced ad hoc artificial intelligence solutions in every e-commerce area that interests every customer. We challenge previous expectations and take productivity and sales results to new levels. In addition to always being accompanied by a Store Manager, ALAN is also surrounded by experts from other areas of Publicis Groupe: media, creativity, production, content or ad hoc data, depending on the needs of each client and project, in a true Power of First: With this tool you can also use all these integrated models intuitively and quickly and learn every day from Publicis Commerce experts in your own and secure environment under the best GDPR practices and within the framework of EU compliance. Publicis Commerce goes a step further by presenting this solution that integrates technology and talent and redefines possibilities in the world of retail media. ALAN not only optimizes operational efficiency, but also helps develop solid strategies and informed decisions that positively impact customer experience and business results.
Ferrero adds the following in a detailed comment to our portal: «Our Alan is always accompanied by a person, they work together, or rather, Alan helps to make what once seemed like a science fiction text come true: human work and artificial intelligence now go hand in hand, to increase the productivity of everything we do. ALAN is our machine learning system based on several models such as Open AI, Stable Diffusion, PowerBI, Bard or Midjourney, allowing you to use all these integrated models intuitively and quickly and is also combined with reading functions that capture the data we need. on the open Internet«. In this way, ALAN learns to develop specific tasks by reading the open Internet, training with Publicis and the background of the “cousin” AI models on the market.
With the development of our AI tool, our team of trading specialists can handle analysis and management tasks like we have never been able to before.
It would be difficult to find someone who is not familiar with ChatGPT, the famous OpenAI assistant, but it is not the only case of AI whose daily use is already fully internalized. We users are already applying them in our daily lives, now is the time for organizations. At Publicis Groupe we have a lot of experience since Marcel was founded in 2017 and now it is time to apply it to the day-to-day life of the commercial team in Spain.
Amazon began to better personalize recommendations to its customers and optimize logistics. In the USA they are testing that AI optimizes both graphical content and seller text… And we ask ourselves: Is AI only for “the Amazons” of retail? We have the answer…absolutely not! We have been testing the combination of open internet data collection solutions with AI for months and it works perfectly. Our team is already using it in its various projects and shows how we can improve the efficiency and short-term results of our work in the various active projects.
Apply use cases to all projects and do so successfully
What lessons can be learned from the example of Amazon and other blue chip companies? Firstly, the application of AI in retail goes much further as we can collect, store, sort and interpret large amounts of data with unprecedented efficiency. This makes it easier for the person to access much more information and speeds up their decision-making and implementation of improvements.
To give just one example, we learn from users using Natural Language Processing (NLP) techniques; Algorithms are also able to refine product descriptions and select the tone and segmentation that interests us most.
Not just “data,” but also driving insights and creativity in processes
There are numerous use cases in price optimization or inventory management. Although machines have long been considered “cold,” participants can now also demonstrate their ability to analyze and be creative.
When it comes to retail marketing, we are just beginning to discover what tasks they can help us with. Both in knowing the environment and in generating alternatives both for the strategy and in supporting its implementation.