eCommerce customers usually don’t get excited about search engines in online stores. They treat them as something wholly finished, complete. This is a shame, as they are in constant development, yet consumers alienated by them years ago have much higher expectations.

Smart recommendations are an evergreen trend and a must-have for eCommerce operations looking for an edge over competitors. But is this essential in all industries where choices are made based on unmeasurable factors, like fashion?

Your marketing strategy might be focused on email, social media, blogs, influencers, etc.; however, your number one “window” to show the real identity of your eCommerce and so engage your visitors, turning them into loyal customers, is closer than you think: your website (your eCommerce’s home).

People understand words with ease (usually). It’s a bit harder for computers, but we can represent words with numbers to make them comprehensive. Not just any numbers, but vectors. Surprisingly, it’s a common language for us, and that can lead to quite impressive things.

Word2Vec is a Machine Learning method of building a language model based on Deep Learning ideas; however, a neural network that is used here is rather shallow (consists of only one hidden layer).

As companies operating in the digital world, we need to collect and process the customer’s data while making sure he/she is aware of what pieces of data are being used, as well as how, why, and when they are being used.

The virtual shopping assistant provided by AVA will conduct natural, unscripted conversations — using natural language, with all colloquialism and meaning understandable only by humans — with eCommerce customers.

A Poland-based marketing technology company just announced a U$ 5.3 million investment to fuel their ambitions of building a marketing one-stop-shop for e-commerce.

In the previous part, we’ve briefly described the idea behind edrone AVA: a virtual assistant speaking the same way as a biological one. To speak – so simple, right? Looking at Siri clumsiness, we might get quite another impression.

While trying to overleap competition, there is usually no point in desperate trials of doing something the same way but faster, better because it’s at least problematic, especially when you are developing your product in many directions.

National Centre of Research and Development announced verdicts of the “quick path” competition. edrone as one of the winners will receive a grant for the R & D project worth 12 591 156.25 PLN aiming towards research NLU technology, with particular emphasis on e-commerce and Voice Commerce.

Exclusive and renowned Brand. More than 70 salons in Poland, hundreds of thousands of clients registered in CRM, six hundred hairdressers. Operational booking system ready for scheduling all clients, but there is a catch. All of the saloons are closed because of COVID. What we gonna do now?