7 best e-commerce strategies to fully leverage Black Friday
Black Friday is fast approaching! On November 26, shopaholics will be able to hunt for the price reductions and discounts lurking in every corner!
Black Friday is fast approaching! On November 26, shopaholics will be able to hunt for the price reductions and discounts lurking in every corner!
Consumer electronics are the perfect showcase for everything marketing automation can do.
The hypercompetitive world of eCommerce offers customers more choices than they could ever take advantage of. There are basically infinite options for everything.
Returns are simply a fact of life in retailing generally and ecommerce in particular. In fact, a generous, customer-friendly return policy is a key element of a successful online sales operation.
Even a modest ecommerce operation involves lots of moving parts.
Every marketing team is faced with the same task — creating a never-ending list of topics for the various kinds of content they need to support their brand or product.
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These days, everything is about improving, changing, protecting, examining or reinventing the “customer experience”. No one was talking about this just a few years ago so where did it come from and what’s it all about?
Maintaining the modern SaaS system based on cloud operational 24/7 is definitely not a trivial thing. Especially if your product grows 100% year to year. Through the last 6 years we were figuring out the process which allows us to keep an eye on our system health, without building a dedicated team.
Artificial intelligence has entered the mainstream. We hear about it in the daily news, we use it every day on our devices. Have you ever wondered how it works? How do algorithms make decisions?
Not so long ago the edrone team had finally the opportunity to leave our virtual workspace behind and meet in the real world. We had an unbelievably good time, and that got me thinking about how it’s possible that a 110-person team, mainly created during lockdowns, is so close to each other.
Don’t just look at the benchmark figures when you evaluate your language model. A subjective judgement can also lead to interesting insights.
In real-life applications computational efficiency of ML models is as important as evaluation metrics
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