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AI-First Approach

Kloud9 Advantage for your Data + AI/ML Cognitive Journey

Unique Data Science & Data Engineering Projects Delivered Successful Projects Delivered Until Date Faster Insights Generation & Time To Market Unique Solution Accelerators &Frameworks

Expert Data Scientists Data Engineers Records Processed For Data Engineering & Data Science Projects

Kloud9’s Data Engineering Practice Drives Data & Analytics Success

We at Kloud9, have built a solid Data Engineering practice, providing Data Engineering services with a focus on AI and ML adoption across industries such as Retail, Consumer, Manufacturing & Healthcare, through our innovative solution accelerators and frameworks

Our Data Engineering capabilities include

• Data Acquisition & Consolidation Kloud9‘s Data Engineering services are adaptable to all major cloud platforms, leverage 100% open-source technologies and have in-built security compliance with data loss prevention (DLP) capabilities

Kloud9’s Data Science Solutions Empower Businesses With Cognitive Intelligence

At Kloud9, we work closely with our customers across Retail, Consumer Goods, Healthcare & Manufacturing to achieve a satisfying customer experience using modern technologies in AI, ML, Cloud and Automation, that transform Data into action-driven insights

Kloud9’s specialized Data Scientists lay the foundation for Data Science and guide clients through a robust digital strategy encompassing Cloud, Tech, and Data Governance to predict and ensure the best outcomes for their business

Kloud9’s Data Science Framework has four key pillars

• Pattern Recognition & Feature Engineering
• Computer Vision & Image Recognition

Leverage The Power Of Cloud Engineering To Solve Business Problems

Cloud Engineering plays a vital role in enabling digital transformation for enterprises across Retail, Consumer Goods,Manufacturing & Healthcare industries Kloud9’s Cloud Engineering practice simplifies purchase processes, speeds up delivery & ordering times, reduces cost, inventory levels, and brings more value to retailers

Our Cloud Engineering expertise lies in Cloud Migration and Cloud DevOps services which ensure that the Retailers opt for the most feasible Cloud service provider to reduce risks, save cost, optimise Retail productivity and profitability over time, with exponential impact on their Mobile, Sales & Marketing and Operations

Delivering Intelligent Enterprise Solutions Through AI/ML Automation

Kloud9 drives application modernisation across organisations with DevOps, MLOps, and DataOps solutions that take advantage of new age technologies to ensure that enterprise-wide business initiatives are deployed, embraced and scaled for maximum ROI We enable development teams to create new applications and migrate existing ones to the Cloud, seamlessly

Kloud9 offers the right management solutions for applications modernised for the Cloud (built around AI and ML) to predict issues Our Automation solutions help organisations across Retail, Consumer Goods, Manufacturing & Healthcare to resolve issues even before they impact end-users, improving efficiency and productivity

Optimize Logistics & Supply Chain for Productivity planning using Machine Learning (ML)

• Deep data analysis of why there were more shipments than “necessary”
• Implemented a Machine Learning (ML) model that predicts the number of shipments after completing the fulfillment process

Refactor Vendor Management System for Statistical and Profitable Item Exposure

• Implemented a product that systematically manages inventory availability for digital customers based on item profitability and rules, in order to increase the revenue and inventory utilization

Customer Order Recovery Engine to Minimize Failure

• Identify probability of failure for store fulfillment, minimize shipments, minimize cancellations

Automated Anomaly Detection and Prediction for America’s Largest Department Store

• Built automated fraud detection alerts for Credit Card and Gift Card transactions
• Implemented anomaly detection alerts and dashboards for Store server anomaly detection