Category: technology
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Cross-Border E-Commerce Is Booming—Does Your Website Get It Right?
By Rafael Lourenco
Consumer attitudes are changing about ordering online from overseas, and global e-commerce market forecasts reflect that shift. Analysts predict 25% compound annual global e-commerce growth through 2028, when the market will be worth more than $3 billion, up from $794 million in 2021, per Vantage Market Research.
This growth represents an opportunity for brands and retailers to grow their customer base and insulate themselves from economic fluctuations in their home markets. To build a thriving cross-border presence, brands and retailers must understand why consumers shop across borders and how to adapt their customer experience (CX) for different markets.
In our
2022 Consumer Attitudes Survey on Ecommerce, Fraud & CX—which included more than 5,000 online shoppers evenly distributed among the United States, Canada, Mexico, Australia, and the UK—6% of respondents said they prefer to buy from overseas retailers. That was an increase from 4% in 2021, and among that 6%, more than half said their preference for shopping internationally had increased over the past 12 months.
Also 40% said they preferred shopping with overseas and local retailers equally, and 18% of those consumers said they increasingly preferred buying from a mix of local and cross-border sites. At the same time, consumers are discovering more offshore brands and retailers through social media, with 75% of consumers saying they have purchased from a brand because they engaged with it on social media.
Cross-border growth opportunities for retailers and brands
Turning international followers into loyal customers requires strategic planning. Here are some of the key best practices for e-commerce sites seeking to succeed in cross-border commerce.
Identify your first cross-border market
Start with one international market or region that shares some attributes—language, payment methods, or customer demographics—with your domestic market. For example, a French clothing store might opt to expand into another EU market because of the common payment options before expanding outside the EU.
Go beyond basic language localization
Update your site to ensure that all customer touchpoints are provided in your target market’s language, including product descriptions, shipping and return policies, and customer service chatbots. As tempting as it might be to control costs by relying on an automated translation of your site content, a translation by a professional in your target market is a wise investment, especially if the target market uses a language with many regional variations, such as Spanish, Portuguese, or English.
Provide preferred local payment options
The popularity of payment methods varies by market, but digital wallets appeal to consumers in multiple regions because of their convenience and security. In the same report, 70% of respondents said that having the option to pay using alternative methods like digital wallets makes them feel “more secure when placing an online order.”
In addition to digital wallets, it’s wise to offer a buy now, pay later option, as well as any other local payment methods that are popular. For example, debit, bank transfer, and cash payments through convenience store kiosks are preferred by many Mexican online shoppers. Consider also how you’ll handle multicurrency payments, sales tax, and value-added tax collection for overseas markets.
Set shipping expectations for cross-border customers
Shopping across borders opens a whole world of products to consumers. The trade-off is often slower delivery times and higher costs. Communicate that information clearly, so there are no surprises at checkout. More than one-third (39%) of respondents in the survey said they’d abandoned at least one purchase at checkout in the previous year because “shipping was expensive or would take too long.”
Welcome cross-border customers in your loyalty program
One way to compensate for higher shipping costs and longer delivery times is to invite cross-border shoppers to join your loyalty program as soon as they arrive at your website. Allowing new customers to start earning points toward future purchases, bonus items, or shipping discounts appeals to virtually all customers, including the
49% of Gen Z and Millennial shoppers who already belong to at least one retail loyalty program.
Add cross-border holidays to your marketing calendar
Boxing Day, Singles Day, and El Buen Fin aren’t online shopping events in the United States, but they’re major e-commerce events in other countries (the U.K., China, and Mexico, respectively). Virtually every market has a unique sales event or national holiday that your store can leverage through social campaigns, seasonal promotions, and products selected specifically for these events.
Align your fraud prevention with local consumer behavior
By now, it should be clear that customers in other markets won’t behave exactly like those in your domestic market. That means your fraud screening rules and practices need to adapt, so you can approve as many good orders as possible in your cross-border markets.
For example, if you’re expanding into a country with a developing e-commerce market, many of your customers may have a limited history of online purchases—or perhaps none—before their first order in your store. In this scenario, the order history parameters that work well for identifying fraud in developed e-commerce markets may be counterproductive. Know what good customer behavior looks like in your new cross-border market and adjust your fraud controls as needed.
Building the foundation for future cross-border growth
Finally, choose the KPIs for your first cross-border initiative so you can track your progress and make CX improvements over time. Once you have the process down and have a track record of successfully selling into one international market, it becomes easier to deliver an excellent customer experience as you expand your online business even further beyond your own borders.
About the Author
Post by:
Rafael Lourenco
Rafael Lourenco is executive vice president and partner at ClearSale, and holds more than two decades of experience providing e-commerce fraud detection and prevention services in major international markets.
Company: ClearSale
Website:
www.clear.sale
Connect with me on
LinkedIn, Facebook, Twitter, and Instagram.
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Thinking of Bringing AI Into Your Workplace? Here’s How to Do It Successfully
By Arkady Sandler
Utilizing artificial intelligence (AI) in business operations is a reliable way to boost the speed, efficiency and overall quality of work, and 81% of employees already believe that AI has improved their job performance. In fact, according to
SnapLogic, 68% are ready for their employers to deploy more AI-based tools.
The global AI market is currently worth
over $136 billion, and its value is projected to skyrocket over 13 times this number over the next seven years, which means we are only seeing the beginning of what it can do for companies. However, while AI has enormous potential and widespread acceptance by those in the workforce, it still has limitations that prevent humans from relying on it entirely.
Here are a few tips to help your organization avoid three of the most common pitfalls that arise when using AI technology in business operations.
How to successfully incorporate AI in the workplace
1. Make sure your results are unique and relevant
Remember that AI relies on the inputs it is given and the data it is trained on to produce results. Because of this, it is always possible that the results generated are too generic to be effective without further refinement.
Currently, AI has been implemented by at least 35% of businesses in their operations, according to the IBM Global AI Adoption Index, while 42% of companies say they are actively exploring AI integration. The primary applications identified by these participants include chatbots and automated email chains. Consequently, emphasizing personalization and delivering unique outcomes has become increasingly vital, as the customer experience now wields a direct influence on your brand’s long-term success.
For instance, if your marketing team uses GPT to generate text without finalizing the outputs or maintaining a focus on tailoring the message to your target audience, not only will your customers be unhappy with a generic experience, but you will be more likely to see a decline in business because your voice will no longer stand out from your competitors.
2. Beware of inaccurate, incomplete, or unintentionally biased outputs
AI’s ability to contextualize information is much more rudimentary than a trained human mind. It is also important to remember that an undertrained predictive model becomes a “self-fulfilling prophecy” of deteriorating results becoming worse over time. For instance, if your own previous predictions cause the data stream to change, AI must be able to account for this, or its outputs will become increasingly less useful. This means that it is more likely to return an inaccurate, irrelevant, or incomplete result if a query is not carefully or explicitly worded.
Universal AI literacy is something the global community must embrace in order to fully realize the potential of AI, but this is especially important for businesses. Teaching employees and users the importance of high-quality data and how to navigate the blind spots artificial intelligence might have is the best way to reduce the likelihood of problems stemming from inaccurate results.
A possible instance of this would be using virtual assistants in a healthcare setting to help streamline the diagnostic process for basic urgent care needs. Imagine telling an AI diagnostic tool that you are experiencing kidney pain. Based on that input, the AI would be likely to prescribe kidney-specific treatments. However, if you were to simply complain of pain in your lower left side, it would likely recommend additional diagnostic tests to help pinpoint the source of the pain, which might not be the kidneys at all.
To help mitigate this, it’s essential to educate everyone potentially using your AI about its limitations. Understanding how to ask the best questions to get optimal, helpful answers is a skill that can be learned, and acknowledging that there may be biased or inaccurate results opens the door for critical thinking and overall improvements in how your business uses artificial intelligence.
3. Remember that AI is constantly evolving and needs upkeep
It is natural and expected for artificial intelligence systems to degrade over time. In the same way that you must upgrade company software on a schedule or purchase new office furniture periodically, your business needs to plan for regular maintenance of its AI tools.
Regular system updates help keep your AI system performing at its peak effectiveness and reduce the likelihood of poor or erroneous outputs. For example, using a prediction system to manage resources based on a particular data stream is an excellent way to boost efficiency.
However, without consistent updates and pretraining, it is possible that the system would not account for its own impact on the current data, such as mentioned earlier with an under-trained predictive model getting stuck in a cycle of deteriorating outputs. This would lead to increasingly less accurate information as the system degrades until the whole thing becomes nearly unusable.
Finally, it is important to bear in mind that, in many cases, artificial intelligence needs further training specific to an organization before it can be truly effective. Routinely examining the data it has been trained on and ensuring it’s as complete, clean, and neutral as possible will make upkeep a much simpler, more efficient task.
Your people are your best tool for better AI incorporation
Ultimately, the companies that can find the ideal balance of human and robot collaboration are the ones most likely to see success. The truth is that while artificial intelligence has grown by leaps and bounds, it is nowhere near ready to replace humans who can think creatively and provide valuable context to make AI outputs useful, relevant, and unique to your brand.
Sci-fi movies have embedded a fantasy in our minds that the goal is to have everything automated or done by completely autonomous robots. This blind spot on our part has been responsible for plenty of failed attempts at integrating AI into society. Instead, we need to recognize the strengths and weaknesses of the tech and take time to build up autonomy in the right way. This is the only path we have to a future where humans, robots, and AI coexist successfully.
FAQs about incorporating AI in the workplace
What are the problems with AI in the workplace?
It can give rise to issues such as inaccurate results, dull information, outdated data, and more. It is crucial to bear in mind that a hybrid approach, combining human expertise with AI capabilities, is necessary instead of solely relying on AI.
What is an example of AI in the workplace?
AI can be utilized for minor tasks like composing emails, distributing letters, or running advertising campaigns. Additionally, AI can serve as the core concept of a business, powering devices that address market challenges through intelligent solutions.
How does AI positively impact the workplace?
Tasks that were previously time-consuming can now be completed more quickly, freeing up valuable time for individuals. Moreover, this collaboration opens new possibilities for the creation of additional job roles and the optimization of workplace organization. It’s clear that AI will have a profound impact on all business processes related to information and document management.
About the Author
Post by: Arkady Sandler
Arkady Sandler is a serial entrepreneur and technology executive with over 20 years of experience. He founded five startups, successfully exiting three of them. He is an expert in AI, product innovation, effective product management, and technology development, and can talk about the current state of AI and its future, automation and digitalization, product innovation, and robotics.
Company: Docet TI
Website:
www.docet.ai
Connect with me on
LinkedIn.