CASE STUDY: Rossman Supermarkety Drogeryjne Polska Sp. z o.o.
Rossman Poland uses IBM retail solutions to understand shopping patterns and tailor promotions
Using predictive analytics that assign probability to buyer purchases, Rossman Poland is reaching a new level of customer engagement, understanding them better than ever and personalizing product promotions to best suit their unique preferences.
CASE STUDY: DLF Ltd.
DLF Ltd. partners with IBM Retail to better understand and influence customer behavior
One of India's largest commercial real estate developers develops a mobile app powered by cloud-based analytics to develop a higher conversion ratio of visitors to buyers at its DLF Promenade shopping mall.
"Cognitive analytics has transformed our understanding of customer behavior and our retail strategy."
Head of Product Development, Honest Café
Get to know your customers as groups, individuals, and through lifestyle changes, and effectively use that information to facilitate strong relationships with your brand.
How it works
By collecting as much available information on your customer as possible—including transactional data, personal data, and unstructured data like social media data and blog data—and then using that information to drive insight and power into customer interactions, you can foster customer engagement on a personal level.
How you benefit
By implementing a collection of these solutions, retailers can increase sales, increase margins, and improve customer satisfaction and loyalty.
Industry Point of View
Infuse Cognitive Capabilities to Engage and Differentiate
Learn how to combat the rising challenges in this changing retail industry.
Accurate Decision Making with Cognitive Computing
Explore how cognitive technology is different than other forms of advanced analytics and how it can help retailers make smarter decisions.
The IBM 2016 Global Customer Experience Index
See how you measure up to ever-increasing consumer expectations.