Walmart Labs

Led the engineering team at Walmart Labs, implementing data-driven solutions that reduced content ingestion times by 60% and improved catalog search performance by 80%.
Join newsletter
Stay up to date with new case studies. We promise no spam, just goodf content
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Walmart Labs: Transforming the Future of Retail

About

Walmart Labs is the technology and innovation arm of Walmart, the world’s largest retailer. With over 10,000 stores and a rapidly growing e-commerce platform, Walmart depends on advanced technology to maintain its competitive edge and improve the shopping experience for millions of customers worldwide.

The Problem

As online retail grew exponentially, Walmart faced intense competition from Amazon, particularly in terms of speed, convenience, and customer experience. Walmart needed a way to modernize its legacy systems to remain competitive and meet rising customer expectations. The existing e-commerce infrastructure was monolithic, slowing down the agility Walmart needed to innovate and scale its digital operations.

Key challenges included:

  • Data Overload: Walmart's systems were burdened by vast amounts of product, inventory, and customer data, making it difficult to maintain real-time accuracy.
  • Slow Development Cycles: The monolithic structure limited flexibility, making it time-consuming to implement new features and respond to customer demands.
  • Lack of Real-Time Analytics: Walmart’s systems struggled to process and analyze data in real-time, which was essential for tracking inventory, managing orders, and providing personalized customer experiences.

The Solution

Intellus AI’s team, with Haamid Ali at the helm, worked closely with Walmart Labs to transition Walmart’s systems to a more modern, scalable architecture. By breaking down the monolithic application into a microservices-based model and optimizing data handling processes, the Intellus AI team implemented a solution that was fast, flexible, and scalable.

  1. Transition to Microservices Architecture: Intellus AI helped Walmart decompose its monolithic system into independent, service-oriented modules, allowing different parts of the platform to be updated and scaled independently. This architectural shift enabled faster development cycles and made it easier to introduce new features across Walmart’s digital platforms.
  2. Advanced Data and Catalog Management: Recognizing the massive volume of data Walmart managed, Haamid’s team optimized Walmart’s backend with a highly efficient catalog management system. This system enabled real-time updates to product availability, pricing, and inventory, helping Walmart to respond to customer demand instantaneously.
  3. Real-Time Data Analytics Implementation: To give Walmart an edge in data-driven decision-making, Intellus AI integrated real-time analytics capabilities. By implementing machine learning models and robust data pipelines, we empowered Walmart to predict inventory needs, identify purchasing trends, and optimize order fulfillment strategies.
  4. Cloud-Enabled Scalability and Agility: Intellus AI assisted Walmart in implementing a scalable cloud infrastructure, allowing the company to manage fluctuations in data and traffic effectively. This cloud-based approach ensured that Walmart could handle peak shopping seasons, such as Black Friday, without any performance lags or interruptions.

The Results

The implementation of a microservices-based architecture and real-time data analytics had transformative effects on Walmart’s operations and customer experience:

  • 40% Reduction in Data Processing Time: By optimizing backend systems and data management processes, Walmart Labs improved data processing speeds significantly, enabling Walmart to keep up with real-time inventory and pricing updates.
  • Increased Agility and Faster Feature Rollouts: The transition to a microservices architecture enabled Walmart’s development teams to implement updates and new features 30% faster. This flexibility allowed Walmart to rapidly deploy customer-centric innovations and respond to market changes more effectively.
  • Enhanced Customer Experience: Real-time analytics allowed Walmart to better predict customer needs, manage stock levels, and improve order fulfillment. This led to a more seamless shopping experience, both in-store and online, which boosted customer satisfaction and retention.
  • Scalable Infrastructure for Peak Demand: Walmart’s cloud-enabled infrastructure meant that the platform could scale dynamically to handle high-traffic periods, ensuring a smooth and reliable shopping experience even during events like Black Friday.

Transform Your E-Commerce Infrastructure – Partner with Intellus AI

If your company is struggling with scaling legacy systems or optimizing data processing, Intellus.AI is here to help. Leverage Haamid Ali’s expertise in transforming infrastructure for scalability and agility. Contact us today to discover how Intellus AI can elevate your operations with AI-driven solutions for faster, more reliable service delivery.

Check out our other case studies

Delivered AI cloud optimization services at Cresance, saving enterprise clients between 20-80% on cloud costs by leveraging machine learning to identify and eliminate inefficiencies. Part of Stanford's StartX & Alchemist Accelerator.
Developed knowledge management systems as part of Oracle’s eBusiness Suite, optimizing processes and enhancing user experience for global enterprise clients.
Co-founded and built the AI-powered platform at Narvar, helping the company scale to become a unicorn startup and empowering over 100 enterprise clients with AI-driven supply chain solutions.
Designed and developed custom infrastructure management tools for Google’s data centers, optimizing performance and enabling efficient scaling across the global network.
Led AI initiatives at 12 labs within Macy’s and Bloomingdale's, generating over $100M in additional revenue by driving key projects in personalization, natural language search, and product recommendations.

Ready to Transform Your Enterprise with AI?

Book a free 30-minute audit with Intellus AI to: 
- Assess your AI readiness
- Identify quick SaaS, Cloud, and AI wins
- Get a customized AI roadmap
and more!