Google searches, voice assistants and millennials. Uncover how the latest trends are revolutionizing online shopping!
It’s becoming increasingly difficult for business managers and marketers to understand each person’s behaviors and preferences. Staying competitive requires dedicated attention to market trends, behavior patterns and sector analyses. 90% of millennials made a purchase on Amazon and Gen Z shoppers prefer to make purchases on Snapchat and Instagram. So how can brick and mortar stores compete? We’ve selected the six latest trends impacting online shopping and their implications.
Why do tourism destinations find it difficult to be guided by big data?
Antonio Pezzano, expert in destination marketing, reveals the two greatest limitations for the growth of data-driven DMOs. The first is bureaucratic, the second is linked to marketing and to the need to invest strategically, keeping the limited budgets in mind. To succeed, Pezzano propositions a bold challenge to tour operators.
How can small businesses keep up with the high retail demand?
Customers are no longer patient when it comes to shopping thanks to Apple Pay, two-day shipping and mobile shopping. So how can small businesses keep up? Now more than ever, it’s critical for small businesses to increase the efficiency of stocking, manufacturing and ordering. By automating the inventory management process, “you can track your inventory in real time across multiple locations [and] be notified instantly when you are running low on merchandise”. Demand forecasting is another benefit of automation by analyzing “historical sales figures, market trends, predicted growth, promotions, marketing efforts and more”. Small businesses can rely on automation to reduce costs, prevent shortages and excess stock and optimize organization.
How to overcome the most common challenges that prevent companies from fully exploiting big data
If companies don’t soon embrace big data, there’s a risk they’ll fall behind. Virtually all companies want to exploit big data, but few have actually taken the first steps. TechRepublic highlights the most common reasons why companies shy away from big data. The top reason is the difficulty of understanding the data and interpreting reports, which are oftentimes user-unfriendly. However, there’s a way to overcome these obstacles. One is to invest in software designed to make the data more accessible and interpretable.