AI has gradually become part of many aspects of our personal and professional lives. We are increasingly exposed to AI through our search engines, computers, phones, TVs, news, purchasing decisions, customer analysis, vehicles, watches, and more. Every activity is being monitored and analyzed based on our digital footprint, turning us into statistics that define or categorize many aspects of our lives.
There is an ongoing passionate debate about the mass use of AI and the ethics surrounding it. In many cases, this large-scale use is controversial. But AI is here to stay—and avoiding it means falling behind the technological curve of the modern world.
Rather than rejecting it due to controversy, we should take responsible steps to integrate AI into our ERPs:
- Don’t implement AI just to have it, but only when it provides clear benefits.
- Avoid unnecessary AI processing, which adds costs, due to tech consumerism.
- Define the right tools for the specific AI application.
- Use data responsibly, ensuring required privacy levels.
- Don’t make AI use mandatory by default— let it be an optional feature for our clients.
We invite you to reflect on how AI could be responsibly integrated into our products—whether to gather data, automate processes, perform statistical analyses, or make forecasts.
Examples of this reflection include:
- Using AI to generate product pricing.
- Using AI to generate sales offers.
- Using AI to load item information (description, size, photos).
- Recommending products to clients based on sales analysis with AI, using customer categories and buying patterns.
- Forecasting inventory restocking based on past sales and seasonal trends.
- Generating management reports.
- Using AI to upload supplier invoices—since electronic invoicing already defines invoice data clearly.
