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AI-Driven Analytics Stack for FinTech Growth

About Client A FinTech company handling millions of transactions daily, needed a robust data analytics pipeline to enable scalable BI reporting and customer insights across its growing operations. The Challenge Existing systems could not handle high-volume data efficiently. Disparate transactional data across systems Slow manual report generation Lack of unified analytics infrastructure…

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Competitive Intelligence with Large-Scale Data

About Client A top US home improvement retailer, required automated and scalable competitive intelligence across millions of SKUs to optimize pricing, assortment, and promotional strategies. The Challenge Manual tracking of competitors’ assortment and pricing was unsustainable. Millions of SKUs across multiple regions Fragmented market data without normalization Inability to extract actionable insights in…

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Mobile-First MIS for Retail Agility

About Client a leading retail chain, sought a mobile-first, real-time MIS system for its operations, enabling faster and more intuitive business decisions for store managers. The Challenge Legacy MIS was desktop-based and lacked real-time alerts No mobile access for store managers Delayed insights affected operational agility Static reports offered limited interactivity Have Questions ?…

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Omnichannel AI Transformation for a Leading Retailer – Driving Commerce, Automation, and Analytics Excellence

About Client The client is a global consumer appliance leader known for its innovative home, kitchen, and floorcare products. The brand aimed to strengthen its digital commerce presence, unify customer data, and deliver personalized, AI-powered shopping experiences across channels. The Challenge The client’s digital ecosystem was fragmented across multiple systems, limiting seamless customer experience, personalized…

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AI Accelerator for Data Quality and Governance – Automating the Full Item Data Lifecycle for a Leading Home Furnishing Marketplace

About Client The client is one of the world’s largest online home furnishing marketplaces, hosting millions of SKUs from thousands of suppliers. They needed an automated, intelligent system to improve product data quality, reduce manual clean-up, and ensure consistent taxonomy for marketplace syndication. The Challenge Managing and maintaining high-quality, standardized item data at marketplace scale…

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GenAI Transformation for a Global Industrial B2B Player – Enhancing Product Discovery & Customer Support

About Client The Client is a global leader in fluid management solutions and industrial engineering equipment. The client aimed to enhance customer engagement and self-service efficiency through AI-powered digital transformation. The Challenge Client's customer support and product discovery processes were heavily manual, causing delays, high dependency on human agents, and limited self-service adoption. High customer…

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Data Modernization for a Leading Retailer – Unifying Systems for Omnichannel Growth

About Client A large multi-state retail enterprise operating across hundreds of stores and multiple online channels. The client sought to unify business data and build a scalable analytics foundation to support omnichannel decision-making. The Challenge Disconnected data systems made it difficult to generate timely, accurate insights for business operations, marketing, and supply chain teams. Data…

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AI-Powered Data Governance and Cleansing

AI-Powered Data Governance and Cleansing

About Client A leading B2B landscape supply company, faced challenges with inconsistent, duplicate, and inaccurate master data across millions of items, customers, and suppliers impacting analytics reliability. The Challenge Disparate data sources led to poor data quality and reporting issues. Duplicate and incomplete records Unaligned taxonomies and inconsistent classification  Limited governance for item, customer, and…

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Unified KPI View for Cross-Functional Decisions

About Client A leading fast-growing personal care brand, needed a unified business intelligence layer combining marketplace, ERP, POS, and CRM data for performance tracking across marketing, finance, and operations. The Challenge Data fragmentation across multiple platforms led to inefficient KPI tracking. • Reporting processes were manual and slow • Inconsistent metrics across departments • Lack…

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AI-Driven Analytics Stack for FinTech Growth

About Client  Payworld, a FinTech company handling millions of transactions daily, needed a robust data analytics pipeline to enable scalable BI reporting and customer insights across its growing operations. The Challenge Existing systems could not handle high-volume data efficiently. • Disparate transactional data across systems • Slow manual report generation • Lack of unified analytics…

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Predictive Analytics for Player Retention

About Client  Khelplay, a leading online gaming platform, aimed to improve player retention and campaign ROI through predictive analytics and micro-segmentation models. The Challenge Player engagement dropped due to limited personalization and generic offers. • No predictive visibility into player churn • Ineffective segmentation for campaigns • Limited data-driven personalization Have Questions ? Get In…

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Real-Time Marketing Data for Smarter Campaigns

About Client Tracer is a global AdTech platform managing campaigns across search, social, and display channels, requiring consistent and real-time KPI visibility for better campaign optimization. The Challenge Fragmented data across ad platforms led to delays and inconsistencies. • KPIs varied by platform • Manual reports caused lag in campaign optimization • Engineers had to…

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