Sustaining conversion rates amid rising prices and evolving customer expectations.
High customer acquisition costs due to advertising on expensive platforms and heightened competition.
Establishing and retaining customer loyalty.
Quality of margin
Supply chain that is aligned with demands
Lack of intelligent tools for predicting changes in consumer behaviour and patterns.
Building brand equity and maintaining it.

Harnessing AI/ML for targeted customer segmentation and discovery.

Crafting a distinctive User Experience (UX) to enhance engagement and conversions.

Apply analytics to optimize business delivery models.

Utilize data analytics to comprehend customer buying behaviour and craft brand-reputation maintenance messages.

Leverage Machine Learning Algorithms to predict customer preferences, aiding in informed purchase decisions.

Enhance cross-selling and upselling strategies.

Integrate and automate forecast and supply chain processes.

Build rapid, high-quality storefronts through cloud platforms.

Highlights

Delivered individualized, data-driven web pages based on user history, including searches, comments, third party data and preferences.

Assessed, designed and implemented comprehensive multi-cloud Enterprise Security Architecture enhancing cyber security and compliance.

Developed automated infrastructure to consolidate and transform 20 years of buyer and purchasing data for integration into retail language models.

Automation of CICD across multi-cloud, improving coding to production deployment timeline and time to market cycle.

AI Engineering behind transforming Customer Experience and Front Stores