During the pandemic, we took a fresh look into generational shopping habits, surveying 2,000 UK and 2,000 US consumers to find out if and how Covid-19 and the measures taken to fight it had permanently altered shopping behavior. These findings reveal that shopping behaviors are converging across generations.
We are anticipating monumental online sales volume for brands with the approaching holiday season. To capitalize on this transition to online shopping, DTC (direct-to-consumer) brands must take back control of their sales channels. DTC brands can’t control whether big-box retailers open their storefronts or the number of consumers they allow inside. They also can’t manage the customer experience with the brand, especially given the many variables Covid-19 has thrown at brick-and-mortar retail.
The one thing brands can control is their online sales channel.
Ecommerce has suddenly become the primary sales channel as a result of Covid-19, and retailers are having to find creative solutions to meet consumer demand for both essential and non-essential goods. With Amazon announcing delays in shipments of non-essential goods in the US and limits on the quantity of goods retailers can ship, the task of getting products to end users becomes even more difficult.
Supply chain issues also resulting from Covid-19 complicate things further, but merchants are still tasked with fulfilling orders on time. This means looking into non-traditional fulfillment methods that can provide flexible and cost-effective solutions to the issue at hand. For retailers struggling to find ways to cope with over-forecasted demand, below are some viable options.
The answer to solving the personalization dilemma lies in data. Retailers that are able to both harness and analyze data will be able to make the calculated decisions to improve their customer experience and give shoppers the personalized process they desire. However, only 27% of global retail and wholesale purchase influencers say that improving the use of data insights is currently a top priority. Artificial intelligence and machine learning tools can help dissect the data retailers receive, but it starts with the desire and capability of getting smarter about customer experience.