Case Study

MODERNISED DATA PLATFORM AND PERSONALISED RECOMMENDATION DRIVE E-COMMERCE SUCCESS

A leading global e-commerce clothing brand, partnered with BI:PROCSI to enhance its data infrastructure and customer engagement strategies. Facing challenges with fragmented data sources and limited visualisation capabilities, BI:PROCSI undertook two transformative initiatives. Firstly, the implementation of a modern data platform on Google Cloud Platform enabled efficient processing of vast datasets, providing comprehensive insights into customer behaviour. Secondly, the deployment of a sophisticated recommendations engine revolutionised the customer experience, driving engagement and boosting sales. These initiatives positioned the client as a trailblazer in the e-commerce fashion industry, enabling the delivery of exceptional customer experiences and fostering sustainable growth in a competitive market landscape.

Executive Summary

Our client, a leading global e-commerce clothing brand, partnered with BI:PROCSI to enhance its data infrastructure and customer engagement strategies. Facing challenges with fragmented data sources and limited visualisation capabilities, BI:PROCSI undertook two transformative initiatives.

irstly, the implementation of a modern data platform on Google Cloud Platform enabled efficient processing of vast datasets, providing comprehensive insights into customer behaviour.

Secondly, the deployment of a sophisticated recommendations engine revolutionised the customer experience, driving engagement and boosting sales. These initiatives positioned the client as a trailblazer in the e-commerce fashion industry, enabling the delivery of exceptional customer experiences and fostering sustainable growth in a competitive market landscape.

The Challenge

The client encountered hurdles while striving to optimise its data infrastructure and customer engagement strategies, including unifying diverse data sources, boosting data processing efficiency, and refining product recommendations to elevate customer engagement and sales.

Furthermore, existing reporting systems exhibited constraints in visualisation capabilities, scalability, as well as performance issues, impeding the client’s capacity to extract actionable insights from data.

The Situation

The client’s data infrastructure comprised fragmented data sources, posing challenges in deriving unified customer insights and delivering personalised experiences at scale.

Moreover, reliance on traditional reporting systems restricted the client’s capacity to visualise and analyse data effectively, thereby impeding decision-making processes. In response, the client aimed to modernise its data platform and deploy a robust recommendations engine to elevate the customer experience and boost sales.

The Solution

Project 1: Modern Data Platform on BigQuery GCP

In a bid to modernise the client’s data infrastructure, BI:PROCSI led the development of an advanced data platform on Google Cloud Platform (GCP), employing BigQuery, GCP Servers, and GCS buckets to facilitate efficient centralised processing of extensive datasets. Harnessing state-of-the-art cloud technologies, BI:PROCSI enabled the client to streamline data management processes, ensuring smooth integration and processing of large data volumes. This initiative empowered the client to attain comprehensive insights into customer behaviour and preferences, laying the groundwork for personalised targeting strategies and data-driven decision-making to enhance customer experiences and drive business growth.

Project 2: Recommendations Engine

BI:PROCSI engineered an advanced recommendations engine for the client, leveraging sophisticated algorithms to deliver personalised product suggestions tailored to individual preferences and behaviours. By analysing diverse criteria such as colour preferences, browsing history, and purchase behaviour, the engine generated highly relevant recommendations resonating with each customer. This personalised approach markedly enhanced the shopping experience, driving engagement and boosting conversion rates for the client’s customers. Through continuous refinement and optimisation of the algorithms, BI:PROCSI ensured that the recommendations remained accurate and effective, solidifying the client’s position as a leader in delivering personalised e-commerce experiences

The Result

The implementation of these projects yielded transformative outcomes for the client. The modern data platform facilitated efficient centralisation and processing of large data volumes, empowering the client with comprehensive insights into customer behaviour and preferences. Furthermore, the migration to Looker augmented visualisation capabilities, enabling real-time insights and data-driven decision-making.

The recommendations engine revolutionised the customer experience by providing personalised product suggestions, fostering engagement, and driving sales.

These initiatives positioned the client as a frontrunner in the e-commerce fashion industry, enabling the brand to deliver exceptional customer experiences and foster sustainable growth in a fiercely competitive market landscape.

CASE STUDY