A cross-border eCommerce platforms enable businesses to sell in international markets by connecting sellers and buyers from different countries or regions. To do so, these platforms provide a variety of features that facilitate cross-border transactions, such as global market access, payment processing, logistics and shipping support, compliance assistance, and multi-language support. In addition, these platforms are scalable, reliable and user friendly which helps businesses to reach global customers seamlessly and grow sales. These platforms are leveraged across various industries, including supply chain, logistics, health and beauty, automotive, and retail consumer goods.

Cross Border eCommerce Platforms

3D Print Service Bureaus

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4G and 5G Private Mobile Network Services

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Active Metadata Management

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BigCommerce

Shopify Markets

There is a need for cross-functional and enterprise-wide automation with integrations across so many of these sectors. I hesitate to choose one, even though I am coming from the legal side.

I see a lot of use cases for Automation in the Operations space (Commerce/ Marketing), where organizations are using some RPA (Robotic Process Automation) products to help

We've done a lot of automation in our AP processes and will start translating those benefits into AR as well.  However I think the area where we have the largest opportunity is in our order processing - there are so many touchpoints today, and so many different models, that we likely need to do some process re-engineering first... but then will have a large opportunity to automate.

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It depends a lot on how much automation you have already completed.  We automated a lot of HR, IT, Procurement, Accounts Payable and Receivables already.  They could be more done there but the obvious and easy projects are done so my vote was for Sales.

Automation of an organization&#39;s business operations, such as manufacturing, distribution, or specialized product development like drug discovery, can do the most to provide a competitive edge.


With myriad datasets, and ever changing needs, HR has a lot of potential to optimize, streamline and automate data processes.

The one with the highest cost per resource. 

Interesting that marketing is ranking so highly in this...


I would say with the advent of Generative AI that marketing is becoming easier to automate, but that&#39;s not to say that everything should be.


The opportunity for companies to really go against the grain and ramp up the &#39;human&#39; side of their marketing is big right now. 


Podcasts, video, thought leadership, community building, all of the stuff the bots can&#39;t do.


From a finance perspective. All low level mundane data entry activities should be automated, to free up time for more strategic pursuits. 


AP in the form of invoice capture, and AP automation in the form of direct bank links are quick wins.


AR in the form of debt collection automation, dunning, reminders etc is also fertile ground for automation.


Gives the machines the stuff that they&#39;re good at, so we can focus on the stuff that we&#39;re good at as humans.

They all should use automation properly to become more efficient. Sales should use it so they can spend more time doing what matters most, having conversations with people who can buy from them. 

I&#39;d define automation as many functions have also suffered from automation for the sake of automation solutions.
Even to date I can give any day a handful of supply chain and ops processes at any given company that were wrongly automated or not automated for no reason.
Any business function can do well with automation that&#39;s defined on what value it brings and not just money and efficiency, but also how it contributes to the overall strategy.
In marketing or sales, one can automate for efficiency and lose customers at the same time.
So this topic is really much deeper and I wish company leaders would take this more seriously when they discuss to evaluate real impact and not just the cost side.

There is a need for cross-functional and enterprise-wide automation with integrations across so many of these sectors. I hesitate to choose one, even though I am coming from the legal side.

I see a lot of use cases for Automation in the Operations space (Commerce/ Marketing), where organizations are using some RPA (Robotic Process Automation) products to help

Interesting how the Marking dropped suddenly in the last quarter

We've done a lot of automation in our AP processes and will start translating those benefits into AR as well.  However I think the area where we have the largest opportunity is in our order processing - there are so many touchpoints today, and so many different models, that we likely need to do some process re-engineering first... but then will have a large opportunity to automate.  

Which business function do you see the most need for automation?

There is no doubt that AI and Machine Learning have had a tremendous impact on business. It fact, it is being applied to almost every industry there is.&nbsp;Here are some quick examples of how AI/ ML have created business value across several industries:Financial Services (My industry) – The Financial services industry relies heavily on AI/ ML algorithms to help detect fraud in real time, saving companies millions in losses. They also use these algorithms to give their customers (e.g. merchants/ SMBs) access to online business trends and peer benchmarking – adding real value to these businesses every day.Retail – This is an industry that has been on the forefront of this tech in order to improve customer experiences. They use AI/ML to create a seamless experience between online interactions and in-store purchases. Think about Walmart and their experiments with facial recognition technology to determine if their customers are happy or sad at their point of purchase.Farming – Yes AI/ ML has also reached farming. John Deere has actually invested in building robots that make decisions to treat plants with pesticide based on immediate visual data – taking weather and infestations into account! Manufacturing – Auto manufacturers have done a good job with collecting data from cars to predict when parts would fail or when they need servicing. This not only allows them to uphold their safety records but also allows them to create products to improve driver and passenger needs.&nbsp;

For any online advertisers, particularly ecommerce, using AI/ML to monitor and optimize digital advertising campaign effectiveness. Understanding how/where to best spend that money to maximize ROI. 


It's applying the same thinking as you noted Anil within financial services fraud of finding irregularities in the data, but just applied in the context of ad spending.

Understanding your customers’ collective and individual preferences in order to present better products and effectively price discriminate.

Here are five examples of how AI/ML is creating value for business:

1. Improving customer service: AI-powered chatbots are now commonplace on many business websites, providing 24/7 customer support and answering questions quickly and accurately. AI is also being used to personalize the customer experience, such as by recommending products or services based on a customer's past purchase history and browsing behavior.


2. Automating tasks: AI can automate a wide range of tasks, from simple data entry to complex decision-making processes. This can free up employees to focus on more strategic and creative work, leading to significant cost savings for businesses.


3. Optimizing operations: AI can be used to optimize all aspects of a business's operations, from supply chain management to manufacturing to marketing. For example, AI can be used to predict demand for products and services, optimize inventory levels, and identify and address bottlenecks in production.


4. Developing new products and services: AI is being used to develop new products and services that would not be possible without it. For example, AI is used to develop self-driving cars, medical diagnostic tools, and personalized educational platforms.


5. Making better decisions: AI can help businesses make better decisions by analyzing large amounts of data and identifying patterns and insights that would be difficult or impossible for humans to spot on their own. For example, AI is being used to predict fraud, identify high-risk customers, and optimize marketing campaigns.

Here are some specific examples of how large companies are using AI to improve their business:

Netflix: Netflix uses AI to recommend movies and TV shows to its users based on their viewing history and preferences. This has helped Netflix to increase customer engagement and reduce churn.


Amazon: Amazon uses AI to personalize its product recommendations, optimize its supply chain, and detect fraud. This has helped Amazon to become one of the most successful companies in the world.


Walmart: Walmart uses AI to automate inventory management, pricing, and forecasting tasks. This has helped Walmart to reduce costs and improve efficiency.


Google: Google uses AI to improve its search results, develop new products and services, and personalize the user experience. This has helped Google to become one of the most valuable companies in the world.


BTW, Fred used AI to create the outline for this answer because it is efficient. AI is an accessible tool that can drive efficiency in text-based responses when the author prompts leveraging personal experience, and fact checks/edits the outcome based on expertise and human understanding.

If 2023 was the year when AI truly captivated everyone's attention, 2024 is when AI will start chipping away at every aspect of business value creation in industries such as e-commerce and marketplaces in 2024, including:

- Productivity - AI will automate repetitive tasks and software development, freeing up employees to focus on higher value work. For example, AI could generate reports, process returns, or handle simple customer inquiries. This will boost productivity.

- Infrastructure - Behind the scenes, AI will help optimize infrastructure like cloud costs, server loads, and delivery routes. This "AI infrastructure" will reduce costs and delays.

- Applications - AI-enabled apps will transform experiences. Product recommendations, search, personalized promotions, and chatbots will all become smarter and more intuitive through AI.

- Content - AI tools will help generate product descriptions, blog posts, emails, ad copy and more. They'll allow faster iteration to find top performing content. Humans will still oversee for quality.

- Automated Communication - More communication between software systems will happen automatically through AI APIs rather than human setup. This includes order information, inventory updates, analytics reports and more being shared seamlessly.

AI/ML Learning - will be foremost - reduce response time and overall inclusion environment /services for all multi culture  customers.  It will provide better quality services at front staff with prompt (cross-language)  to explore new knowledge responses.

AI-powered chatbots and virtual assistants enhance customer service by providing instant responses to inquiries, resolving issues, and on the other hand, Financial institutions use machine learning algorithms to assess credit risk by analyzing various data points, improving the accuracy of credit scoring models.

What are some examples of business value creation through AI/Machine Learning?

Best Cross Border eCommerce Platforms Reviews 2024 | Gartner Peer Insights

As a Shopify Markets user, I'd say the experience has had its ups and downs but has been mostly positive. It is an innovative platform that allows for easy online store management and provides opportunities for small and even medium size businesses. 

1. Unify cross-border e-commerce platform, which enables sellers to sell across multiple countries in a short time
2. Support multiple local e-payment channels to easy the collection for sellers
3. Quick & easy setup & integration
4. Good support both direct & indirect (from the 3rd party partners)
5. Good brandname to create the trust for the buyers, which is quite a key thing to improve the sellers' brands as well

Shopify is best solution for ecommerce and dropshipping business. Our company started dropshipping and we found the overall best solution is Shopify. In terms of store management, no other CRM is even come closer to Shopify. We have great experience with this platform.

Shopify

FedEx Logistics

BigCommerce is a fantastic composable ecommerce platform that we replatformed onto and have been using for the last 18 months. The ability to leverage partner apps and customisations allows it to be the perfect platform to cater for the unique aspects of our business. 

A simple to use ecomm platform with a few limitations that are discovered after you have reached a turning point.

Finally a high-performance, customizable amd scalable product

My overall experience about FedEx Internation Connect is they deliver worldwide internationally with single label process which helps the retailers to avoid the barriers of global trade.

Cross Border eCommerce Platforms Reviews and Ratings

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Shopify Markets

Shopify Markets

BigCommerce

BigCommerce

FedEx International Connect

FedEx International Connect

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