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Understanding where each customer is in their purchasing journey and where they are getting stuck or abandoning the experience is a huge benefit to retailers.
While there are a multitude of applications for generative AI, marketing is one of the areas that has made the greatest inroads while still being susceptible to the greatest risks.
Information and communications technology alone will comprise almost 14 percent of the world’s total carbon emissions by 2040 – up from just 1.5 percent in 2007.
Rather than looking top down to start with brand visibility, Tesla and Airbnb looked bottom up to start with consumers.
The demand for a more adventurous, deluxe lifestyle is driving baby boomers –150 million in Europe and America, according to recent census data – to look abroad for second or third homes.
In the United States, there is essentially no limit to the amount of data companies can collect, and few limits on how they can use it.
As the hospitality industry continues to evolve, technology plays a vital role in enhancing guest experiences, optimizing operations and improving overall efficiency.
Most ecommerce users often enter queries consisting of three words or less, leading to potential ambiguities and suboptimal search outcomes.
There are several legal intricacies related to an employer’s workplace flexibility that are now gaining more serious attention.
Bad customer interactions are putting more than $4.7 trillion in sales at risk every year.
The usual approach – clearance sales – are not going to help retailers get out of their current inventory-glut jam and build the runway they need to hit their longer-term goals.
For brands, advertisers and media publishers ready to harness it strategically, generative AI offers a unique, scalable, symbiotic answer to the engagement challenge.
Despite some lingering pessimism, the overall inclination reflects promising growth in optimism and belief in China’s trajectory.
Amazon is seeking to increase foot traffic in its stores and gather customer behavior data for strategic planning and network design.
Millennial and Gen Z consumers, who form a significant portion of Asia’s luxury market, have redefined the very meaning of luxury.
Bain & Company projects that the luxury goods market will continue to experience positive growth, rising by 60 percent in value by the end of the decade.
The luxury world is dominated by mega brands and luxury groups such as LVMH, Chanel or high-end car marques who have the marketing might and mass-market appeal to launch multiple products across many price points to the widest audience. But there is a whole universe of brands that only service a handful of customers.
AI-powered chatbots can help provide better product discovery and recommendations, improved customer satisfaction, decreased return rates and better conversion and retention.
Tech-savvy consumers currently expect the same kind of first-class experience when shopping online for high-end jewelry that was once only available by going to a bricks-and-mortar location.
Brands have been slow to adopt a GA4 strategy despite the risk of losing their year-over-year data once the switch becomes permanent.
Even the goods or services brands that deliver cheap commodities, suboptimal products and poor service can tell a story that may bring a customer to tears.