Predictive insights helps L’Oréal reach people most likely to purchase in stores
L’Oréal is the world’s largest beauty company. Although many consumers interact with the brand online, a majority of L’Oréal’s luxury product sales still occur in-store. The marketing team used machine learning to predict which visitors would go in-store to purchase. These audiences were shared with Google ad products to enhance marketing touch points.
Custom cloud native E-commerce app and enhanced E-commerce analytics to fit business objectives, and A/B experiments help CAA improve operational efficiency and customer experience
CAA is Canada’s most trusted name for roadside emergency assistance, auto and home insurance and more. Although CAA’s members could use its digital products and services, the speed and data silos made it difficult to meet members’ ever-changing needs.
Shifting the focus to creating differentiated customer experiences.
3.5x increase in new membership sign-up conversion rate optimization.
Preventing erroneous sing ups.
Serverless / Kubernetes App. Sophisticated CICD and Security shielded with AI.
Read the full CAA Case Study
Serverless Kubernetes helps LOWE'S serve customers through Black Fridays or every day with the same fast speed and helps customers accelerate their discovery and purchase journeys with a natural search experience.
Lowe’s is an American retail company specializing in home improvement. Store uptime and site reliability are most critical to their commitment to their customers. large-scale operation and dynamic inventory velocity make it difficult to consistently meet customers’ expectations.
100% uptime on Black Fridays / Cyber Mondays.
Modernize microservices architecture