Corporate Office:
Rupa Solitaire, 13th Floor, Bldg No. A1,
Unit - 1308, Sector 2, Millennium Business Park,
Mahape, Navi Mumbai 400 710.

Follow Us

Follow us on Social Network

Overview

Primark, a UK-based fast-fashion giant, sought to harness Artificial Intelligence (AI) and Machine Learning (ML) to address inefficiencies in inventory management, customer personalization, and operational optimization. With a sprawling retail network and growing e-commerce presence, Primark faced challenges in demand forecasting, real-time inventory tracking, and customer engagement. Digital Crown was engaged to deploy advanced AI/ML solutions to drive data-driven decision-making and enhance operational agility.

Challenges Faced

Primark’s legacy systems struggled with data silos, inefficient demand forecasting, and suboptimal inventory allocation. The absence of real-time analytics led to overstocking and stockouts, impacting revenue and customer satisfaction. Additionally, the lack of personalized customer experiences and inefficient in-store operations further compounded the challenges.

Digital Crown’s Solution

Digital Crown implemented a multi-layered AI/ML architecture to address Primark’s challenges:

Demand Forecasting: Deployed Amazon Forecast to analyze historical sales data, seasonality, and external factors (e.g., weather, trends) for predictive inventory optimization.

Inventory Tracking: Integrated computer vision with IoT sensors for real-time shelf monitoring, enabling automated restocking alerts and reducing stock discrepancies.

Customer Personalization: Built a recommendation engine using Amazon Personalize, leveraging collaborative filtering and deep learning to deliver hyper-personalized product suggestions.

Sentiment Analysis: Utilized NLP models to analyze customer reviews and social media sentiment, providing actionable insights for product improvement and targeted marketing.

Operational Efficiency: Implemented AI-driven workforce scheduling using Google Cloud AI Platform, optimizing staff allocation based on foot traffic analytics and sales patterns.

Queue Management: Deployed computer vision and real-time analytics to monitor customer flow, reducing wait times and improving in-store experience.

Results and Impact

30% reduction in inventory discrepancies and 20% increase in sales through AI-driven demand forecasting.

25% improvement in stock accuracy with real-time inventory tracking.

35% boost in online sales and 40% higher engagement via personalized recommendations.

15% reduction in labor costs and 20% shorter wait times through AI-optimized operations.

By leveraging Digital Crown’s AI/ML expertise, Primark transformed its retail operations, achieving scalability, efficiency, and customer-centricity. The partnership highlighted Digital Crown’s ability to deliver innovative, data-driven solutions that drive measurable business outcomes.

Step 01

Research

Step 02

Development

Step 03

Testing

Step 04

Deploy