CASE STUDY February 10, 2023

Top clothing brand boosts CRM efficiency by 25% with AI/ML


A premier US Clothing and Lifestyle brand, reliant on e-commerce and mail orders, aimed to shift from legacy SAS to a cloud-based setup. Focused on Customer Relationship Management (CRM) activities, the client sought improved automation, superior model performance, and process optimization for enhanced customer engagement.


Our AI and ML-driven Customer Data Garden amplified the client’s CRM, elevating efficiency by 25% and accuracy by 6-8%. Optimizing SAS code, our solution mapped a seamless transition, enhancing reusability. The ML pipeline delivered a 6-8% performance boost and 25% productivity gain, reallocating analytics talent for greater business impact. Overall, internal coding efficiency improved significantly.

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