Introduction

A global retail corporation managing over 4 million tons of products and generating over €80 billion in annual revenue sought to enhance its mobile app by offering loyalty program members instant access to digital receipts and e-tickets.

• Lack of product personalization

• Delayed transaction updates

• No quick access to receipts

• Develop a machine learning (ML) engine to predict fabric design success for upcoming seasons, enhancing data-driven decision-making and optimizing fabric choices

• Machine Learning algorithms for predictive analysis

• Real-time dashboard for displaying success rates

• Image and text retrieval systems for historical design comparison

• Ensuring scalability for future cognitive analytics and BI solutions

• Enabling real-time push notifications on mobile devices

• Integrating data across customer service, CRM, and accounting systems

• Customized Fabric Success KPI: Combined two business-relevant KPIs, ROS (Return on Sales) and GP per NSV (Gross Profit per Net Sales Value)

• Predictive Algorithm: Provided insights into fabric design success before production

• Real-Time Dashboard: Displayed predicted success rates, streamlining decision-making

• Image and Text Retrieval: Allowed users to search historical designs by fabric attributes and visuals, comparing new designs with similar past fabrics to assess performance

Technological Framework

Why these Setup?

A combined image and text retrieval system enables buyers to instantly benchmark new designs against historical performance data — replacing weeks of manual trend analysis with seconds of ML-powered insight.

Why this Setup?

Real-time push notifications give loyalty program members instant access to digital receipts and e-tickets, while a scalable BI architecture ensures the platform can support future cognitive analytics requirements.

Why this Setup?

Integrating CRM, customer service, and accounting systems ensures that ML predictions are grounded in real commercial outcomes and that loyalty members receive a seamless, connected experience across all touchpoints.

Takeaway

Zapcom enhanced a global retail corporation's mobile app and built an ML-powered fabric selection engine delivering personalised loyalty experiences, real-time push notifications, and data-driven design decisions.