// Manufacturing and Retail
Unleash data and platforms to [reimagine] manufacturing and retail
Today’s customers are rapidly shifting their preferences for the products and services they want to consume, and what they consider an ideal omni-channel experience. It is critical for manufacturers and retailers to reimagine how they produce, supply, and deliver products and services to meet these higher consumer expectations.
We create solutions to help manufacturing and retail organizations unlock data and insights enabled by the cloud that drive impact. Our solutions empower organizations with data and platforms to better understand customer engagement, improve operations, personalize experiences, and create new revenue streams.
Our capabilities for manufacturing
// Manage production, assets, and supply chain
Build a platform architecture
Build an internet-of-things platform that can scale across multiple verticals to seamlessly track production, assets, and supply chain. Provide predictive maintenance for customers. Minimize unplanned downtime and optimize operations.
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Caterpillar: Building predictive maintenance models
We helped to track assets globally and create predictive maintenance capabilities for customers.
Our capabilities for retail
// Deliver personalized customer experiences
Customer intelligence
Create an omni-channel commerce presence with unified customer data platforms to empower personalization and drive customer loyalty.
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Tailored Brands: Enhancing the online shopping experience
We helped modernize and move mission-critical, real-time systems to the cloud.
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Sifter: Building a personalized nutrition platform for safer grocery shopping
We helped launch the new online grocery platform Sifter, from building a machine learning search tool to developing the user interface.
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Williams Sonoma: Making gifting easy with a chatbot
We built a gift recommendation chatbot for customers using Google Cloud Platform.
// Optimize store operations
Product classification intelligence
Accurately identify and tag products in brick-and-mortar and digital stores. Use it to optimize inventory management, streamline supply chain management, improve store optimization, personalize the customer experience, and enhance security and compliance.
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Kroger: Meeting growing data needs in the cloud
We migrated an on-premises data lake to the cloud for better scalability, reliability and repeatability as the business grows.
Shopping modernization
Create auto-generated refactor code and Terraform scripts to manage and migrate applications quickly. Manage the rehosting and replatforming of applications to the cloud, improving operational efficiency and reducing costs while scaling application needs.
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Peapod: Launching same-day grocery delivery to drive omnichannel retail revenue growth
Order processing time went from 12 hours to a few seconds, enabling same-day delivery.
// Provide faster fulfillment and delivery
Demand and supply forecasting intelligence
Develop actionable insights from data across multiple platforms across the value chain. Predict customer demand and preferences, handle large orders effectively, respond to material and capacity needs, manage inventory disruptions, and share the big picture of demand and supply.
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FanFood: Reinventing food delivery to serve more fans
We designed a scalable mobile ordering platform to supercharge expansion plans.
Insights and resources
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Creating a personalized retail experience with AI
With the right tools, retailers can use data to create an AI-driven personalized retail experience that earns customer loyalty.
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How chief data officers unlock data to drive retail growth
Explore three strategies successful chief data officers use to drive retail growth.
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How route optimization improves efficiency in last mile delivery
By analyzing and planning last mile delivery, e-commerce retailers can improve efficiency and minimize costs.
Meet the team
Ahmed Megahed
Manufacturing and Retail Lead
