Case Study

13% GMV Growth & 20 Man-Hours Saved: A Data Transformation Case Study

The Results

By providing consolidated, actionable data insights, we empowered Clothing Brand A to leverage previously “lost” time and information effectively, resulting in a remarkable 13.6% increase in Gross Merchandise Value (GMV)

Our proprietary AI Signals instantly analyse, performance trends, enabling the brand to identify best-selling products and market opportunities. This intelligence provides AI-driven recommendations, allowing them to swiftly close sales gaps and maximise revenue.

Our platform offers real-time flagging of potential risks, allowing the brand to proactively mitigate issues before they impact performance. This ensures they remain on track with their goals and significantly reduces potential losses.

The automation of data consolidation eliminated up to 20 man-hours per week previously spent on manual spreadsheet compilation. This freed up valuable human resources, enabling respective business units to minimise their lead time in decision-making by up to 2 days , fostering a more agile and efficient operation.

The Challenge

Clothing Brand A, a multinational retailer operating across three countries and utilising four distinct sales channels (their brand .com and major marketplace platforms like Lazada, Shopee, and TikTok), faced significant hurdles in consolidating and generating timely business reports. Their existing manual process, requiring a full week to aggregate data from multiple sources, led to several critical issues:

Outdated Reports: Data became irrelevant by the time it was compiled.
Potential for Human Error: Manual data entry and consolidation introduced inaccuracies.
Missing Data Gaps: Incomplete information hindered a holistic view.
Delayed Reactions: Inability to react swiftly to rapidly changing purchasing behaviours, leading to lost sales opportunities.

The brand urgently sought a solution to centralise their fragmented data into a single source of truth, accessible in real-time to all stakeholders.

The Strategy

Our approach was systematic, focusing on understanding the client’s unique needs and delivering a tailored, intelligence-driven platform.

Deep Dive: Understanding the process and pain-points
We began with a comprehensive discovery phase, engaging directly with the client to understand their day-to-day data processes, the specific challenges they encountered when pulling reports from various platforms, and their key metrics. This crucial step allowed us to identify current reporting consolidation methods and pinpoint opportunities for automation.‚:
Seamless Integration: Consolidating Data Streams
With a clear understanding of the pain points, our team proceeded to integrate all of Clothing Brand A’s diverse data sources directly into our intelligence platform. This process ingested fragmented data points, transforming them into an all-in-one, AI-powered dashboard.‚:
Strategic Alignment: Actionable Insights for Business Goals
Beyond mere data consolidation, we aligned our efforts with Clothing Brand A’s specific business objectives and goals. This enabled us to create a “top-to-bottom” funnel view within our platform. Powered by our Intelligence Commerce capabilities, this allowed the business to seamlessly navigate from overall store performance down to granular individual product insights, providing clarity, speed, and accuracy in their decision-making.