More AI Protection in E-Commerce
AI has the potential to help e-commerce businesses address many security challenges the business currently faces. There will be more of these challenges, the reason there will be more AI-powered smart tools in deployment. There will be more email security tools that can identify AI-enabled phishing scams better than many security experts. Machine learning models can be highly effective at detecting e-commerce payment fraud, especially with contextual review to aid in continuous algorithm updates. Since fraud will be more sophisticated and harder to detect accurately particularly in new markets, the use of AI models can help to identify good customer behavior and fraud strategies to get the most value from business expansion and or investments. Automated AI scanning solutions if deployed can help watch the internet 24/7 for brand impersonation attempts. This will make it easier for brands to document, report and follow up on impostor/impersonation ads, pitches, websites, social media accounts and emails. Going forward, AI will even be handier to help e-commerce business owners to build stronger security around their businesses.
More Accelerated Growth in Some Markets
Well established e-commerce markets worldwide presently offer lots of opportunities to connect with customers, but also lots of competition as well. What is trending is that businesses looking for faster sales growth now focus on the fastest growing markets. That is where e-commerce is still gaining users because the online retail field is less crowded. If you want to capitalize on e-commerce growth trends, it’s necessary to understand customer preferences in each new market. You can then create a customized plan for each expansion. The trend has shown that it may be easiest to win customers by selling through the marketplaces they trust the most even though this may not necessarily be the same marketplace.
More AI Assisted Customer Decisions
Going forward, AI will still have the most potential to impact e-commerce customer experience just as it is now. This is because of its machine learning and automation capabilities. If well deployed, AI can manage and improve complex processes such as personalization, product search, customer service and more. Some businesses have discovered that AI-driven product education is a great way to help consumers learn in real time whether a product is the right option to meet their needs. Consumer education options like virtual try-ons, product videos, and chatbots are already helping consumers make decisions but going forward AI has the potential to unify and enrich these resources for better customer decision-making.
Continued Growth in Social Media Commerce
In the years ahead, making purchases on social media is likely to become more of a habit and less of a novelty. This means more and more online shoppers will be shopping on social media. Significantly, more consumers in emerging markets are more likely to make social commerce purchases in the near future. For this reason, businesses that want to grow their social commerce channels would do well to encourage their existing social customers to spend more. This will help to make new customer acquisition assume a secondary role in their growth strategy.
Increased Need for AI Data Protection and Fraud Prevention
Technically, all trends come with challenges. Using AI for data protection and fraud prevention definitely brings with it specific challenges even though it offers many potential business benefits. Ironically, fraudsters will also rely on AI to expand, accelerate and improve their attacks on businesses and even individuals accounts. This is one huge challenge facing businesses going forward because of their sophistication. Many of these criminals can now use AI-enabled spear phishing campaigns to impersonate trusted brands well enough to fool even savvy consumers and employees into sharing credentials. The data harvested from such schemes can be used to take over customer accounts, synthesize new identities to open accounts, or access retailers’ databases to steal large amounts of customer data. Going forward, it is therefore imperative for AI models that leverage customer data to personalize recommendations and shopping experiences to put solid guardrails in place that prevent them from exposing vital data. For most businesses however, protecting customers from social commerce fraud will also be critical for avoiding customer churn and brand damage. In the short term however, e-commerce merchants really need to diligently monitor their brands for impersonation scams across all channels, from the web and marketplaces to social media, SMS, and email.
