Artificial intelligence is no longer a dream of the future in e-commerce and Amazon FBA, but is moving directly towards us with giant strides. Nevertheless, according to Nicklas Spelmeyer and Luca Igel from Stacvalley, only a small proportion of retailers are currently using the real possibilities of modern AI tools. In this article, you will find out how AI can already be used in your FBA business, which processes will benefit from it and how you can best prepare for the coming years. At the end, you will take away concrete use cases, practical tips and honest assessments from two real seller perspectives.
https://www.youtube.com/watch?v=seIYJgAOuI4
Many entrepreneurs believe they are already up to date with ChatGPT. However, tools like ChatGPT are only a small part of the big picture, just five percent of what is currently possible. Most people are still managing their business as they did ten years ago. But those who now understand how AI can really be used can scale their Amazon business like never before.
Instead of just building simple automation for recurring tasks, the aim is now to outsource real processes to artificial intelligence. AI is not used purely as a questioning tool, but as a real operator, like an employee who carries out tasks independently.
Examples of tasks that can already be usefully automated with AI today:
The aim is not just to automate 60 or 70 percent of the work, but to come as close as possible to 100 percent - and to achieve even better results than with human processing.
One of the first meaningful automations is the reordering of goods. Instead of the classic Excel spreadsheet or semi-automated tools, AI can handle the entire communication process today (and much better in the very near future), including:
For more complex cases, human control over important financial steps can still be built in to avoid unnecessary risk.
Many prediction tools in inventory management still use simple values from the previous year, supplemented by seasonal trends. However, AI can go further: it can not only take into account the company's own sales data, but also process external market data, social media trends or industry news and derive more accurate forecasts for order quantities.
Important difference to conventional tools:
An AI agent writes emails, checks offers, processes feedback and learns like a real employee, but faster, cheaper and (almost) error-free.
While many retailers still answer support tickets manually today, AI-based systems can already do much more than traditional chatbots. They recognize orders, check statuses, provide individually tailored answers and can even handle images of damaged products.
Typical use cases in customer service:
A clear added value here is that the AI can always be adapted so that it acts in the interests of your business, e.g. minimizes refunds, handles complaints in a friendly manner and resolves conflicts.
Especially at the beginning, it is worth looking at the processes that take a lot of time and have no direct impact on sales or costs. Think concretely:
This is where you should start now. AI can already relieve you of these tasks today. A checklist of possible areas:
| Process | Potential for AI automation | Tools/Methods |
|---|---|---|
| Reorder | Very high | AI-supported agents |
| Customer support | High (for standard cases) | Chatbots, agent systems |
| Inventory forecasts | High (with many data sources) | Prediction tools |
| Data transfer/reporting | High | Automation, API connection |
| Assistance tasks | Medium to high | Calendar and travel bots |
Over time, experience leads to increasingly targeted and individualized use cases.
The development is only just beginning. In the coming months and years, it will run like a snowball system: More and more sellers will recognize the advantages and build new automated systems on top of existing infrastructures. The playing field is changing rapidly and new tools are constantly being added.
It is important to set the course now and examine the possibilities for your business. Don't wait for the "perfect" tool, but try out what you can implement today. If you start early, you will build up a massive head start over the competition - and won't be overtaken by newcomers who use AI straight away.
The exchange with other retailers is worth its weight in gold, especially in such dynamic phases. Nicklas Spelmeyer and Luca Igel themselves rely on contact with colleagues to share experiences and learn from each other. If you want to network with other sellers, you can get inspiration directly from Stacvalley(use Stacvalley's Amazon FBA network) or Nicklas Spelmeyer(Nicklas Spelmeyer's YouTube channel), for example.
Artificial intelligence is here to stay. The most important insights from the interview:
It's time for Amazon sellers to get to grips with the new possibilities. The first steps often bring concrete relief straight away and will become standard in the future. If you don't try it out for yourself, you run the risk of being left behind.
Start now, try it out and exchange ideas with others. The next few months and years will completely change the rules of the game in the FBA business.
Links for exchange and further development:
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