Case Study: FLO achieves 50% lower inspection workload and 60% more accurate customer responses with SAP HANA Cloud

Improving the Customer Experience with Innovations Powered by Machine Learning

FLO Mağazacılık Ve Marketing Inc. (FLO) is a leading Turkish footwear manufacturer and retailer operating over 600 stores and selling more than 50 million pairs annually. Facing slow, manual return inspections that drove customer dissatisfaction and higher costs, FLO sought a partner to help automate and accelerate how return reasons were evaluated.

Working with SAP Advisory Services, FLO implemented a machine-learning application on SAP Business Technology Platform with SAP HANA Cloud and SAP Analytics Cloud to predict defective returns from attributes like supplier, product family, customer behavior, and season. The solution delivered real‑time processing, halved inspection workload, increased the accuracy of customer‑favorable responses by 60% (and reduced human errors by about 35%), and sped up responses to improve customer experience.

Flo

Derya Yeliz Coşar Soğukkuyu

SAP Project Manager