There is almost an unlimited potential for data products to increase efficiency in retail, whether it’s in marketing, logistics, or at the point of sale. Predicting customer behavior, reacting quickly to market fluctuations, or sensing long-term trends are just a few examples where AI-assisted products can have a positive impact.
Comprehensive data analysis has become a basic requirement for success in retail. Data-driven retail companies have higher profit margins than their competitors, they adapt their products more quickly to market needs, and work more purposefully on innovations. This all sounds good, but how can you get a complete picture of your customers, markets, and business processes? The answer: Data quality makes the difference.