Case study: AI Product Matching in Big Retail
Boosting efficiency in the retail industry: how AI is saving more than 300 hours a week
The silent cost trap in your business? Manual processes. Read how one global retailer faced down the data overload – and won.
Data is key in retail – but many retailers struggle with the volume of price and product information across multiple platforms. Manual processes take time and resources and often produce inaccurate results. One global retailer faced exactly this problem - and achieved a breakthrough with an AI solution from XPLN.
Automated data analysis and intelligent product matching not only saved the company over 300 hours per week, but also significantly improved the quality of its data. Category managers were relieved, decisions could be made faster and with better data, and the market position was strengthened.
What exactly is behind this solution? How does the use of AI work in detail? And most importantly, how can it benefit your business?
Download the PDF to find out how multimodal AI product matching is changing e-commerce – and how you can benefit.
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