Metz Digital Consulting

The MIT study shows: only 5% of AI projects deliver real value – and in e-commerce, the success rate is hardly better. The reasons are rarely technical but rather unrealistic expectations, poor data quality, and a lack of integration into existing systems. In online retail, consistent product data, smooth checkout processes, and personalized recommendations are critical to driving conversions and customer loyalty. Using practical examples, I will highlight the five most common pitfalls of AI initiatives in e-commerce and how companies can overcome them. The focus is on building reliable data structures, automating critical processes, and setting clear goals so that AI doesn’t remain hype but generates measurable revenue growth.